JP6089861B2 - Vocabulary determination task analysis device, vocabulary determination task analysis system, vocabulary determination task analysis method, and program - Google Patents

Description

  The present invention relates to a vocabulary determination task analysis apparatus and the like for investigating and analyzing the sensibility of respondents using vocabulary determination tasks.

  Conventionally, questionnaires and interviews are often performed when trying to acquire the will and sensitivity of consumers in marketing surveys. When analyzing subjective judgments such as will and sensitivity, vocabulary judgment tasks may be used. The vocabulary determination task includes information to be displayed in advance (hereinafter referred to as “prime stimulus”, for example, a design such as a character), and information to be displayed next (hereinafter referred to as “target stimulus”, for example, a word such as “cute”). This is a psychometric measurement method that measures a cognitive (psychological) distance from a character string including a non-word such as “Nanura” using a reaction time. In the target stimulus, “◯” is selected if the displayed character string is meaningful as a word, and “X” is selected if it is not meaningful. For example, it is known that a person who has a potential impression of “cute” with respect to a character displayed as a prime stimulus has a short response time to the target stimulus of “cute”.

  In the questionnaires and interviews mentioned above, opinions are gathered by “words”, which is based on the premise that consumers will answer honestly. Even if the consumer responds honestly, the respondent may give a clean answer based on the intent of the questioner, or it may be biased toward a socially appealing answer. Therefore, it is difficult to correctly read the respondent's psychology only from the result of the question.

  By the way, in the field of psychology, experiments to estimate various psychological states and cognitive processes that are not represented by words by measuring the time until respondents answer a question (hereinafter referred to as reaction time) are being conducted. . Further, Patent Document 1 discloses that a numerical value of a respondent obtained by conducting a psychological examination in a questionnaire format or a numerical result is converted (colored) into a color according to the size of the numerical value, and a hue or color The data processing method of the psychological test result that visualizes (visualizes) the result of the psychological test by grouping the data of the similar tendency expressed by the density of the color is described.

JP 2008-148798 A

  However, the estimation of the psychological state and the like using the above reaction time has been performed experimentally. In addition, the above-mentioned Patent Document 1 reads a psychological test answer written on a mark sheet using a mark sheet reader or the like, and shows individual results and group results in color. The method of Patent Document 1 does not investigate the relationship between the response time and the psychological state at the time of the respondent's response, and therefore proposes to express the result of the questionnaire and the psychological state inferred from the reaction time. It has not been. Conventionally, the result of the vocabulary determination task described above is generally shown in the form of a numerical list as it is as a total result. There has been no particular proposal of a method for displaying this clearly.

  The present invention has been made in view of such problems, and its purpose is to investigate a vocabulary determination task together with measurement of reaction time, output the analysis result in a chart, and output the analysis result of the answer. It is to provide a vocabulary determination task analysis device and the like that can be displayed in an easy-to-view manner along with the psychological state of the respondent.

  In order to solve the above-described problem, the first invention presents a word character string or a non-word character string as target stimulus information after presenting prime stimulus information, and whether or not the target stimulus information is a meaningful word. Display means for sequentially displaying vocabulary determination tasks as questions, input means for inputting answers to the questions, and reaction time for measuring the reaction time from the time when the target stimulus information is displayed until the time when the answers are input Measuring means, storage means for storing responses and reaction times in association with each target stimulus information, and analysis means for analyzing answers and reaction times obtained from a plurality of respondents stored in the storage means; As an analysis result by the analysis means, the prime stimulus information and the target stimulus information are included, and the target stimulus information is And analysis chart creating means for creating an analysis chart shown using design answers reaction time, and output means for outputting the analysis chart, a lexical decision task analyzer, characterized in that it comprises a.

According to the vocabulary determination task analysis apparatus of the first invention, the question of the vocabulary determination task is displayed on the display screen, the response time of the answer is measured, the response time and the response time are analyzed, and the prime stimulation of the question is obtained as the analysis result. An analysis chart including information and target stimulus information and showing the response time of the response to the target stimulus information using a design is created and output.
By using the vocabulary determination task analysis apparatus according to the first aspect of the invention, it is possible to investigate a vocabulary determination task together with measurement of the reaction time, and output the analysis result in a chart. Therefore, it becomes possible to display the analysis result of the answer together with the psychological state of the respondent in an easy-to-read manner.

  In addition, a physiological index measurement unit that measures the physiological index data of the respondent during the answer to the question, and a predetermined analysis index related to the physiological index or emotion is calculated based on the physiological index data measured by the physiological index measurement unit It is preferable that the apparatus further includes a physiological index analysis unit, and the analysis chart creation unit further shows the analysis index related to the physiological index or emotion in the analysis chart using a design.

  As a result, it is possible to measure the physiological index of the respondent during the response to the vocabulary judgment task, obtain the analytical index related to the physiological index and emotion based on the measured data, and show the calculated analytical index in the analysis chart using the design It becomes possible. Accordingly, it becomes possible to infer the emotional state and stress of the respondent accompanying the determination.

  The image processing apparatus further includes an imaging unit that captures the face of the respondent during the answer to the question, and an emotion analysis unit that calculates a predetermined analysis index relating to emotion based on the face image data captured by the imaging unit. It is desirable that the analysis chart creating means further shows an analysis index related to the emotion using a design in the analysis chart.

  This makes it possible to take a face image of the respondent while answering the vocabulary determination task, obtain an analysis index related to emotion based on the face image data, and show the calculated analysis index in the analysis chart using a design Become. Accordingly, it becomes possible to infer the emotional state and stress of the respondent accompanying the determination.

  Further, the analysis chart creating means arranges an object indicating the prime stimulus information in the center, arranges an object indicating the target stimulus information around an object indicating the prime stimulus information, and indicates the prime stimulus information. It is desirable to arrange an object that connects each object indicating the target stimulus information with a size corresponding to the reaction time.

  Further, the analysis chart creating means arranges an object indicating the prime stimulus information in the center, arranges an object indicating the target stimulus information around an object indicating the prime stimulus information, and indicates each of the target stimulus information. You may make it make the size of an object the size according to the said reaction time.

  Further, the analysis chart creating means arranges an object indicating the prime stimulus information in the center, arranges an object indicating the target stimulus information around an object indicating the prime stimulus information, and indicates each of the target stimulus information. You may make it draw the color of an object with the color according to the said reaction time.

  As a result, in the analysis chart in which the prime stimulus information and the target stimulus information of the vocabulary determination task are arranged, the reaction time is expressed by arranging an object corresponding to the length of the reaction time, or the object indicating the target stimulus information is displayed. Since the form (size, color, etc.) can be drawn according to the reaction time, the analysis result can be expressed in an easy-to-understand manner.

  Further, the analysis chart creating means arranges the object indicating the prime stimulus information in the center, and arranges a plurality of objects indicating the target stimulus information around the object indicating the prime stimulus information, and the prime stimulus information is displayed. An object connecting the object to be displayed and each object indicating the target stimulus information is arranged in a size corresponding to the reaction time, and the display form of each object indicating the target stimulus information is set according to the physiological index or the analysis index related to emotion You may make it be a display form.

  As a result, it is possible to display reaction time, physiological indices, or emotional analysis indices using a design in an analysis chart in which prime stimulus information and target stimulus information of a vocabulary determination task are arranged, so that the analysis results can be understood. Can be expressed easily.

  Moreover, it is desirable to further include an experiment evaluation means for evaluating the reliability of the experiment for each respondent based on the correctness rate of answers obtained from each respondent.

  Thereby, the reliability of the experiment can be evaluated. The user can grasp whether or not the experiment can be appropriately performed.

  A second invention is a vocabulary determination task analysis system in which a server and a client terminal are communicatively connected via a network, and the server presents prime stimulus information in response to a request from the client terminal. A word character string or a non-word character string is presented as target stimulus information, a lexical judgment task question page for judging whether the target stimulus information is a meaningful word is transmitted, and an answer to the question from the client terminal And a communication means for receiving the response time from the time when the question page is displayed to the time when the answer is input, and a memory for storing the response and the response time for each target stimulus information received by the communication means in association with each other Means for analyzing responses and reaction times obtained from a plurality of respondents stored in the storage means. And an analysis chart creating means for creating an analysis chart including the prime stimulus information and the target stimulus information as an analysis result by the analysis unit, and creating an analysis chart showing a response time of the response to the target stimulus information using a design; An output means for outputting the analysis chart, wherein the client terminal requests the server to obtain the question page, and receives and displays the question page transmitted from the server Display means; input means for inputting an answer to the question page; and reaction time measuring means for measuring a reaction time from a time when the question page including the target stimulus information is displayed to a time when the answer is input. And a result transmitting means for transmitting the response and the response time of the response to the server. A lexical decision task analysis system and symptoms.

  According to the vocabulary determination task analysis system of the second invention, input data in the vocabulary determination task analysis device of the first invention can be collected extensively via a network. Thereby, in addition to the effect in the first invention, the reliability of the analysis result obtained by the vocabulary determination task can be improved.

  A third invention is a vocabulary determination task analysis method performed using a computer, wherein after presenting prime stimulus information, a word character string or a non-word character string is presented as target stimulus information, and the target stimulus information has a meaning. A step of sequentially displaying as a question a vocabulary determination task for determining whether or not it is a word to be formed, a step of inputting an answer to the question, and a reaction from the time of displaying the target stimulus information to the time of inputting the answer A step of measuring time, a step of associating responses and reaction times with respect to each target stimulus information and storing them in a storage unit, and analyzing responses and reaction times obtained from a plurality of respondents stored in the storage unit Including the prime stimulus information and the target stimulus information as an analysis result, and the target stimulus And creating an analysis chart shown by the design of reaction time responses to broadcast a lexical decision task analysis method characterized by comprising the steps of: outputting the analysis chart.

According to the third invention, the question of the vocabulary determination task is displayed on the display screen, the response time of the answer is measured, the answer and the reaction time are analyzed, and the prime stimulus information and the target stimulus information of the question are obtained as an analysis result. An analysis chart is created and output using the design of the response time of the response to the target stimulus information.
Thereby, it is possible to investigate the vocabulary determination task together with the measurement of the reaction time, and to output the analysis result as a chart. Therefore, it becomes possible to display the analysis result of the answer together with the psychological state of the respondent in an easy-to-read manner.

  According to a fourth aspect of the present invention, a vocabulary for presenting a word character string or a non-word character string as target stimulus information after presenting prime stimulus information and determining whether or not the target stimulus information is a meaningful word. Display means for sequentially displaying a determination task as a question, input means for inputting an answer to the question, reaction time measuring means for measuring a reaction time from the time when the target stimulus information is displayed to the time when the answer is inputted, and each target stimulus A storage means for storing an answer to information and a reaction time in association with each other, an analysis means for analyzing answers and reaction times obtained from a plurality of respondents stored in the storage means, and an analysis result by the analysis means, A response time for the response to the target stimulus information including the prime stimulus information and the target stimulus information is designed. Analysis chart creating means for creating an analysis chart shown using a program for functioning as an output means, for outputting the analysis chart.

  According to the fourth invention, it is possible to cause a computer to function as the vocabulary determination task analysis device of the first invention.

  According to the present invention, a vocabulary determination that can be performed to investigate a vocabulary determination task together with measurement of reaction time, output the analysis result in a chart, and display the analysis result of the answer together with the psychological state of the respondent in an easy-to-read manner A problem analysis device or the like can be provided.

The internal block diagram of the vocabulary judgment task analysis device 1 which concerns on the 1st Embodiment of this invention The flowchart explaining the flow of the answer process performed by the vocabulary determination task analysis apparatus 1 Example of question display screen (prime stimulus information display screen 21, target stimulus information display screens 22, 23) Example of input data 4 input by respondent to vocabulary determination task analyzer 1 The flowchart explaining the flow of the response totalization process which the vocabulary judgment task analysis device 1 performs An example of the response total data 51 obtained as a result of the response total processing Example of experiment evaluation data 52 calculated in the experiment evaluation process Flow chart explaining the flow of analysis processing An example of analysis result data 6 which is a result of the analysis process Flow chart explaining the flow of analysis chart creation processing Example of analysis chart 70 in which the length of reaction time is expressed by the size (length) of an arrow object Example of analysis chart 71 in which the length of reaction time is expressed by the size of an object indicating target stimulus information Example of analysis chart 72 in which the length of reaction time is expressed by the color of an object indicating target stimulus information Overall configuration diagram of the vocabulary determination task analysis apparatus 10 according to the second embodiment The flowchart explaining the flow of the reply process which the vocabulary determination task analyzer 10 (respondent terminal 10a) performs in 2nd Embodiment. Example of input data 4a input by the respondent to the respondent terminal 10a The flowchart explaining the flow of the analysis process which the vocabulary determination task analyzer 10 (respondent terminal 10a) performs in 2nd Embodiment. An example of analysis result data 6a which is an analysis result of the analysis processing of the second embodiment The flowchart explaining the flow of the analysis chart preparation process which the vocabulary determination task analysis apparatus 10 (respondent terminal 10a) performs in 2nd Embodiment. Example of analysis chart 80 in which the length of the reaction time is expressed by the length of the arrow and the physiological index or the analysis index related to emotion is expressed by the size of the object indicating the target stimulus information Overall configuration diagram of the vocabulary determination task analysis apparatus 20 according to the third embodiment The flowchart explaining the flow of the reply process which the vocabulary determination task analyzer 20 (respondent terminal 10a) performs in 3rd Embodiment. The flowchart explaining the flow of the analysis process which the vocabulary determination task analyzer 20 (respondent terminal 10a) performs in 3rd Embodiment. Overall configuration diagram of a vocabulary determination task analysis system 100 according to a fourth embodiment of the present invention The sequence diagram which shows the procedure of the process which the server 102 and the client terminal 101 perform in the vocabulary determination task analysis system 100

  Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings.

[First Embodiment]
First, a vocabulary determination task analysis apparatus 1 according to a first embodiment of the present invention will be described with reference to FIGS.

  FIG. 1 is a block diagram showing an internal configuration of a vocabulary determination task analysis apparatus 1 according to the first embodiment. As shown in FIG. 1, the vocabulary determination task analysis apparatus 1 includes a control unit 11, a storage unit 12, a media input / output unit 13, a communication control unit 14, an input unit 15, a display unit 16, a peripheral device I / F unit 17, A timer 18 and the like are connected via a bus 19.

The control unit 11 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like.
The CPU calls and executes a program stored in the storage unit 12, ROM, recording medium, or the like to a work memory area on the RAM, and drives and controls each unit connected via the bus 19. The ROM permanently holds a computer boot program, a program such as BIOS, data, and the like. The RAM temporarily holds the loaded program and data, and includes a work area used by the control unit 11 to perform various processes.

  The control unit 11 (CPU) calls and executes a processing program stored in the storage unit 12. The answer process (see FIG. 2) and the analysis process (see FIG. 8) executed by the control unit 11 in the present embodiment will be described later.

  The storage unit 12 is an HDD (hard disk drive), and stores a program executed by the control unit 11, data necessary for program execution, an OS (operating system), and the like. These program codes are read by the control unit 11 as necessary, transferred to the RAM, and read and executed by the CPU. In addition, the storage unit 12 has lexical determination task question data (page data for displaying prime stimulus information and target stimulus information and image data used for the question), and an object used to create an analysis chart (to be described later) ( (Design etc.) is stored in advance. Also, answer data and reaction time data for the question are stored.

  The media input / output unit 13 is a media input / output device such as an HD (hard disk) drive, floppy (registered trademark) disk drive, memory card drive, PD drive, CD drive, DVD drive, or MO drive. Output.

The communication control unit 14 includes a communication control device, a communication port, and the like, and is a communication interface that mediates communication with the network, and performs communication control.
The input unit 15 is an input device such as a pointing device such as a mouse, a keyboard, and a numeric keypad, and outputs input data to the control unit 11.
The display unit 16 includes a display device such as a liquid crystal panel or a CRT monitor, and a logic circuit (video adapter or the like) for executing display processing in cooperation with the display device, and is input under the control of the control unit 11. Display information is displayed on a display device. The display unit 16 and the input unit 15 may be a touch panel type display / input unit formed integrally.

The peripheral device I / F (interface) unit 17 is a port for connecting a peripheral device to the vocabulary determination task analysis device 1, and the vocabulary determination task analysis device 1 is connected to the peripheral device via the peripheral device I / F unit 17. Send and receive data. The peripheral device I / F unit 17 is configured by USB, IEEE 1394, RS-232C, or the like.
The timer 18 implements a stopwatch function using, for example, a real-time clock mounted on a computer. The timer 18 measures the response time to an answer in a questionnaire response process described later, and outputs the measured reaction time data to the controller 11.
The bus 19 is a path that mediates transmission / reception of control signals, data signals, and the like between the devices.

  The vocabulary determination task analysis apparatus 1 is preferably configured using a personal computer or the like, but various electronic devices having the above-described internal configuration may be used. For example, it is possible to use a PDA (Personal Digital Assistants), a mobile phone, a smartphone, a game machine, a television, or the like.

Next, the operation of the vocabulary determination task analysis apparatus 1 will be described with reference to FIGS.
First, the answer process executed by the vocabulary determination task analysis apparatus 1 will be described. FIG. 2 is a flowchart for explaining the overall flow of answer processing, FIG. 3 is a diagram showing a specific example of a question display screen (question page), and FIG. It is an example of the input data 4 input by the person.

  The control unit 11 of the vocabulary determination task analysis apparatus 1 reads the answer processing program shown in FIG. 2 from the storage unit 12 and executes processing according to the following procedure.

  The vocabulary determination task is a psychometric measurement method that measures the cognitive (psychological) distance between the prime stimulus information displayed in advance and the target stimulus information displayed next using the reaction time. In the target stimulus, a meaningful word such as “cute” or a non-word that does not make sense such as “Nanura” is displayed. When a meaningful word is displayed, the answer is correct if the respondent inputs “◯”, and incorrect if “×” is input. In the case of a non-word, the answer is correct if the respondent inputs “×”, and incorrect if “○” is input. Prime stimulus information is to be investigated. In the following embodiment, an example will be described in which an image of a character is used as an investigation target.

  In the answer process shown in FIG. 2, the control unit 11 first acquires prime stimulus information stored in the storage unit 12 and displays it on the display unit 16 (step S101). When the predetermined time has elapsed, the control unit 11 acquires the target stimulus information stored in the storage unit 12 and displays it on the display unit 16. Simultaneously with the display of the target stimulus information, the control unit 11 starts measuring the reaction time (step S102).

  The reaction time is the time from when the target stimulus information is displayed on the display unit 16 to when the answer is input to the input unit 15.

  For example, as shown in FIG. 3A, a prime stimulus information display screen 21 that presents prime stimulus information 30 is displayed on the display unit 16. In the example of FIG. 3, an image of a certain character is assumed to be prime stimulus information 30. When the predetermined time has elapsed, next, the target stimulus information display screen 22 is displayed as shown in FIG. On the target stimulus information display screen 22, a word character string 31a (for example, “cute”) is displayed. The target stimulus information display screen 22 is provided with answer input buttons 32 and 33 for inputting “×” and “◯”. The selection operation for the answer input buttons 32 and 33 is preferably a simple operation such as a click operation with a mouse click or a touch panel type display screen. This is to prevent the selection operation based on intuition from being hindered. At the same time as the target stimulus information display screen 22 is displayed, the timer 18 starts measuring the reaction time.

  When one of the answer input buttons 32 and 33 is selected on the target stimulus information display screen 22, the control unit 11 acquires the selected answer as the answer data 42. Moreover, the control part 11 complete | finishes measurement of the reaction time by the time measuring part 18, and collects the acquired time measurement data as the reaction time data 43 (step S103; refer FIG. 4). The reaction time data 43 is associated with the response data 42 for the corresponding character string 41 on the target stimulus information display screen 22 and stored in the storage unit 12 as the input data 4 (step S104).

  Next, the control unit 11 determines whether there is a next question page. If there is a next question page (step S105; Yes), the process returns to step S101.

  The control unit 11 displays the prime stimulus information display screen 21 shown in FIG. 3A on the display unit 16 again. When the predetermined time has elapsed, the control unit 11 displays a target stimulus information display screen 23 as shown in FIG. On the target stimulus information display screen 23 in FIG. 3C, target stimulus information different from that in FIG. 3B is displayed. For example, a non-word character string 31b (for example, “Nanura”) is displayed.

  Simultaneously with the display of the target stimulus information 31b, the control unit 11 starts measuring the reaction time. The timer unit 18 starts measuring the reaction time.

  When any one of the answer input buttons 32 and 33 is selected for the next question page 23, the control unit 11 acquires the selected answer as the answer data 42. The control unit 11 ends the measurement of the reaction time by the time measuring unit 18, collects the acquired time measurement data as the reaction time data 43, and stores the answer and the reaction time in the storage unit 12.

  As described above, the control unit 11 repeatedly displays the question page, measures the reaction time, and inputs the answer. When there is no next question page (step S105; No), the control unit 11 then performs the answer counting process. Is performed (step S106).

  The answer totaling process in step S106 is a process for determining whether or not the answer is correct for the input data 4 acquired by the processes in steps S101 to S105 and totaling the data. FIG. 4 is an example of the input data 4. The input data 4 includes character string data 41 that is target stimulus information and an answer input by the respondent to the identification number (“question No.” in FIG. 4) of each question page (target stimulus information display screen). Data 42 and measured reaction time data 43 are held in association with each other. The answer data 42 is either “◯” or “×”.

Specifically, a word character string 31a of “cute” is displayed on the question page “No. 1” as shown in FIG. “○” is obtained as answer data for this. The response time of the answer is measured as “756” milliseconds. In addition, on the question page “No. 2”, a character string 41 “hahon” is displayed. “×” is obtained as answer data for this. The response time of the answer is measured as “1311” milliseconds.
Similarly, for character string data 41 displayed on each question page, response data 42 and reaction time data 43 are collected and stored in association with each other.

FIG. 5 is a flowchart for explaining the answer counting process in step S106.
First, the control unit 11 obtains response data of character strings to be tabulated (step S201). For example, the answer data 42 is acquired from the input data 4 for the character string “cute”.

  Next, the control unit 11 determines whether the target character string is a meaningful word or a non-word that does not make sense (step S202). If it is a word (step S202; for a word), the process proceeds to step S203. If it is a non-word (step S202; for a non-word), the process proceeds to step S204.

  When the target character string is a word character string, if “◯” is selected as the answer data 42, the control unit 11 adds “1” to the “HIT” point. If “x” is selected, “1” is added to the “MISS” point (step S203).

  When the target character string is a non-word character string, if “◯” is selected as the answer data 42, the control unit 11 adds “1” to the “FA” point. If “x” is selected, “1” is added to the “CR” point (step S204).

  The control unit 11 determines whether or not the processing in steps S202 to S204 has been performed for all character strings (step S205). If the processing has not been completed for all character strings (step S205; No), the process returns to step S201, and any one of “HIT”, “MISS”, “FA”, and “CR” is selected as another character string. Add these points. When the process is completed for all character strings (step S205; Yes), the answer counting process is terminated.

  FIG. 6 shows the response total data 51 that is the result of the response total processing. FIG. 6 shows the response total data 51 for a single respondent. The answer total data 51 stores “HIT”, “MISS”, “FA”, and “CR” points.

  When the answer counting process is completed, the control unit 11 performs an experiment evaluation based on the answer counting data 51 (step S107 in FIG. 2). In the experimental evaluation, the control unit 11 calculates the correct answer rate, the CR rate, the MISS rate, and the FA rate based on the answer total data 51, and the reliability of the experiment (the experiment is correct) based on the values of the experimental evaluation data 52. It is determined). The correct answer rate is a numerical value indicating the rate at which the word character string 31a can be correctly selected as “◯”. The CR rate is a numerical value indicating the rate at which the non-word character string 31b can be correctly selected as “x”. The MISS rate is a numerical value indicating the ratio of selecting the word character string 31a as “x”. The FA rate is a numerical value indicating the rate at which the non-word character string 31b has been selected as “◯”. The correct answer rate, CR rate, MISS rate, and FA rate are calculated by the following equations.

Correct answer rate = HIT ÷ number of words CR rate = CR ÷ number of non-words MISS rate = MISS ÷ number of words FA rate = FA ÷ number of non-words

  FIG. 7 shows the experimental evaluation data 52 calculated based on the response total data 51 shown in FIG. The experimental evaluation data 52 may include, for example, the HIT rate, CR rate, MISS rate, and FA rate. In the example of FIG. 7, the HIT rate is “1.0”, the CR rate is “0.5”, the MISS rate is “0.0”, and the FA rate is “0.5”.

  In the experimental evaluation, when the correct answer rate or the CR rate is extremely low, the control unit 11 evaluates that there is a possibility that the experiment (presentation of questions and input of answers) may not be properly performed. As a result of the experiment evaluation, when it is evaluated that the experiment is not properly performed, the answer may be excluded from the analysis processing target described later.

  The control unit 11 stores the answer total data 51 that is the result of step S106 and the experimental evaluation data 52 that is the result of step S107 in the storage unit 12 (step S108), and ends the answer process.

  The vocabulary determination task analysis apparatus 1 performs the above-described answer processing on a plurality of respondents. Then, response results (input data 4) by a plurality of respondents are acquired, stored in the storage unit 12, and stored. Further, the answer totaling process and the experiment evaluation are respectively performed on the input data 4 of the plurality of respondents, and the answer totaling data 51 and the experiment evaluation data 52 of each respondent are stored in the storage unit 12. Input data 4 obtained from a plurality of respondents is used for analysis processing to be described later.

Next, analysis processing executed by the vocabulary determination task analysis apparatus 1 will be described with reference to FIGS.
The control unit 11 of the vocabulary determination task analysis apparatus 1 reads the analysis processing program shown in FIG. 8 from the storage unit 12 and executes processing according to the following procedure.

  In the analysis process, the control unit 11 acquires input data 4 (answer data 42 and reaction time data 43) from a plurality of respondents from the storage unit 12 (step S301). At this time, only the input data 4 of respondents with good experimental evaluation results may be selectively acquired based on the experimental evaluation performed in step S107. Based on the acquired input data 3, the control unit 11 totals the response time of the response to each character string (step S302).

FIG. 9 is a diagram illustrating an example of the analysis result data 6 that is the processing result of step S302.
The analysis result data 6 is obtained by collecting the reaction time 63 for each character string 62 with respect to the prime stimulus information 30 that is an investigation object. The reaction time counting method may be, for example, calculating an average value or the like of reaction times of a plurality of respondents. The rank 61 of the analysis result data 6 is the rank sorted from the shorter reaction time. The number of cases 64 is the number of input data 4 used for counting the character strings 62. For example, when the average value of the reaction time is calculated from the responses for four people, the number of cases 64 is “4”.

  The analysis result data 6 in FIG. 9 is a result of the investigation using the prime stimulus information 30 as an investigation object. The character strings used as the target stimulus are “cute”, “hahon”, “scare”, “nostalgic”, “kaisuki”, “interesting”, and the like. The reaction time 63 for the character string “cute” is “879.0”, the reaction time 63 for the character string “hahon” is “902.0”, and the reaction time 63 for the character string “koi” is “934.0”. ", And so on.

Next, the control part 11 creates the analysis chart 70 (step S303).
The control unit 11 of the vocabulary determination task analysis apparatus 1 reads the analysis chart creation processing program shown in FIG. 10 from the storage unit 12 and executes the processing according to the following procedure. In the following description, a process for creating the analysis chart 70 shown in FIG. 11 will be described as an example.

  First, the control unit 11 acquires an object 700 indicating the prime stimulus information 30 from the storage unit 12 (step S401). The object 700 indicating the prime stimulus information 30 is data in which the prime stimulus information 30 is designed. As in the present embodiment, when the prime stimulus information 30 is an image, the image data may be acquired as the object 700. When the prime stimulus information is not an image such as a character string, the design data stored in advance in the storage unit 12 is acquired as an object 700 indicating the prime stimulus information.

  The design data is various figures such as a square, an ellipse, a line, an arrow, a combination of a color, a pattern and a figure, or an arbitrary image. A plurality of design data may be stored in the storage unit 12 and may be selected as an object 700 indicating prime stimulus information from these. Moreover, you may make it show the selection screen which makes a user select the design data used for the object 700 which shows prime stimulus information.

  Next, the control part 11 extracts the character string used for the analysis chart 70 from the analysis result data 6 (step S402). In the character string extraction process, only the word character string 31a may be extracted, or a predetermined number of upper character strings may be extracted. The number of character strings to be extracted is arbitrary. For example, in the analysis chart 70 shown in FIG. 11 and the like, four character strings of “cute”, “scare”, “nostalgic”, and “interesting” are extracted.

  The control unit 11 creates each of the objects 701a to 701d indicating the extracted character string (target stimulus information) (step S403). The objects 701a to 701d indicating the target stimulus information indicate character strings that are target stimulus information using a design. For example, the graphic data or image data described above may be used. Further, the modified character data indicating the target stimulus information character string (text data) itself in a predetermined display format (font, size, color) or the like may be used as the objects 701a to 701d indicating the target stimulus information. A plurality of design data of the objects 701a to 701d indicating the target stimulus information may be stored in the storage unit 12, and may be selected from these as the objects 701a to 701d indicating the target stimulus information. Moreover, you may make it present the selection screen which makes a user select the design data used for object 701a-701d which shows target stimulus information.

  The control unit 11 acquires arrow objects 703a, 703b, 703c, and 703d that connect the object 700 indicating the prime stimulus information and the objects 701a to 701d indicating the target stimulus information, and the arrow object 703a according to the length of the reaction time. , 703b, 703c, and 703d are changed (size, color, etc.) (step S404).

  For example, in the example of FIG. 11, the lengths of the arrow objects 703a, 703b, 703c, and 703d correspond to the length of the reaction time when each target stimulus information is answered.

  The control unit 11 lays out an object 700 indicating prime stimulus information, objects 701a to 701d indicating target stimulus information, and objects (arrow objects 703a, 703b, 703c, and 703d) indicating reaction times in a predetermined arrangement ( Step S405).

In the layout, an object 700 indicating prime stimulus information is arranged around the center, and a plurality of objects 701a to 701d indicating target stimulus information are arranged around the object 700 indicating prime stimulus information. In addition, arrow objects 703a to 703d indicating reaction times are arranged so as to connect the object 700 indicating prime stimulus information and the objects 701a to 701d indicating target stimulus information. The lengths of the objects 703a to 703d indicating the reaction time correspond to the length of the reaction time.
FIG. 11 is an example of an analysis chart 70 created as a result of layout.

  In FIG. 11, each of the objects 701a to 701d indicating the target stimulus information adopts a character string itself as a design and has a uniform character size and font, but is not limited thereto. A character string surrounded by a figure such as an ellipse may be used as the objects 701a to 701d indicating the target stimulus information.

  Or you may make the size of each object 711a, 711b, 711c, 711d which shows target stimulus information respond | correspond to the length of reaction time like the analysis chart 71 shown in FIG. In this case, each of the arrow objects 713a to 713d may have a length corresponding to the reaction time or a uniform length.

  Further, as in the analysis chart 72 shown in FIG. 13, the colors of the objects 721a, 721b, 721c, and 721d indicating the target stimulus information may be changed in accordance with the length of the reaction time. In this case, it is desirable to display a color chart 725 showing the relationship between the length of reaction time and color together with the analysis chart 72.

  In the analysis chart 72 in the example of FIG. 13, color values are assigned so as to be “red” to “yellow” to “blue” from the shorter reaction time to the longer reaction time. The object 721a “cute” is displayed in red because the reaction time is short. The object 723c “nostalgic” is displayed in blue because the reaction time is long. Similarly, an object indicating each target stimulus information is displayed in a color corresponding to the reaction time.

  When the analysis chart 70 (71, 72) is created, the control unit 11 outputs the created analysis chart 70 (71, 72) (step S406, step S304 in FIG. 2). The output includes display on a display screen, print output, data transmission to a network, and the like.

As described above, the vocabulary determination task analysis apparatus 1 according to the first embodiment presents words or non-words as target stimulus information after presenting prime stimulus information, and does the target stimulus information make sense as a vocabulary? The vocabulary determination tasks for determining whether or not are sequentially displayed as questions. And the reaction time until an answer is input with respect to a question is measured. The control unit 11 aggregates the responses and reaction times obtained from a plurality of respondents, and creates and outputs an analysis chart showing the prime stimulus information, the target stimulus information, and the reaction time using a design as an analysis result. To do.
Therefore, it becomes possible to investigate the vocabulary determination task together with the measurement of the reaction time. Moreover, since the analysis result of the vocabulary determination task is output in the form of a chart, it is possible to display it easily so that the psychological state of the respondent can be easily guessed.

  In addition, the design used for the analysis chart shown in the above-mentioned embodiment is an example, and other designs may be used. Further, in the analysis chart, the display position of each object indicating the target stimulus information may be rearranged using the ranking data of the reaction time.

[Second Embodiment]
Next, a vocabulary determination task analysis apparatus 10 according to the second exemplary embodiment of the present invention will be described with reference to FIGS.

  The difference from the first embodiment is that the physiological index data of the respondent is measured during the answer to the question, and the psychological state and emotion are further analyzed based on the physiological index.

FIG. 14 is an overall configuration diagram of the vocabulary determination task analysis apparatus 10 according to the second embodiment.
As illustrated in FIG. 14, the vocabulary determination task analysis device 10 according to the second exemplary embodiment includes a respondent terminal 10 a and a physiological index measurement device 10 b.

  The respondent terminal 10a is a device that displays a question, inputs a response, measures a reaction time, counts the acquired response, and performs an analysis process, similar to the vocabulary determination task analysis device 1 of the first embodiment. . Since the internal structure of the respondent terminal 10a is the same as that of the vocabulary determination task device 1 of the first embodiment shown in FIG. 1, the duplicate description is omitted, and the same parts are denoted by the same reference numerals and Explain. In addition, although the respondent terminal 10a has illustrated the tablet-type computer as an example in the example of FIG. 14, it is not limited to this form. Various electronic devices having the internal configuration of FIG. 1 can be used.

  In the second embodiment, the respondent terminal 10a executes an analysis process including a process of calculating an analysis index related to a physiological index or an emotion based on physiological index data input from the physiological index measurement device 10b. Moreover, the respondent terminal 10a expresses the acquired physiological index or emotion in the analysis chart as a result of the analysis. For example, the display form of the object indicating the target stimulus information is changed according to a physiological index or emotion. The analysis of the physiological index or emotion, and the creation of an analysis chart expressing the analysis result in a design will be described later.

The physiological index measuring device 10b is a device that measures the physiological index data of the respondent. In physiological psychology, in addition to the visual system (eye movement and blink activity; so-called gaze), the central nervous system (electroencephalogram (spontaneous electroencephalogram, event-related potential), cerebral blood flow), autonomic nervous system / respiratory system (heartbeat, Hemodynamic reactions, respiration, electrodermal activity, thermoregulatory system), motor system (skeletal muscle reaction), immune / endocrine system (blood, saliva), etc. have been studied as physiological indices.
In this embodiment, an example will be described in which physiological indices of the autonomic nervous system / respiratory system are used for analysis of a questionnaire survey.

  Advantages of using physiological indices of the autonomic nervous system and respiratory system for analysis of questionnaires are that the measurement is simpler than other systems, and physiological indices of the autonomic nervous system and respiratory system are emotions and emotions. A point closely related to the psychological state. The physiological index of the autonomic nervous system / respiratory system specifically includes heart rate, heart rate variability, blood pressure, cardiac output, blood volume pulse, respiratory rate, tidal volume, skin conductance response, skin potential response, Core temperature, skin temperature, etc.

  Examples of the physiological index measuring apparatus 10b that measures physiological indices of the autonomic nervous system and the respiratory system include a heartbeat measuring apparatus, a pulse wave / Korotrov sound recorder, and a skin electrometer.

The heartbeat measuring device is a device that measures the electrocardiographic information of the respondent. The electrocardiogram information is data such as a heart rate and an electrocardiogram.
The pulse wave / Korotrov sound recorder is a device for measuring a blood pressure value, a pulse rate, KSG (Korotrov sound diagram), which is an index of the circulation function, and the like.

  A skin electrometer is a device that measures electrodermal activity (EDA). EDA is closely related to sweating and is used as a parameter indicating a mental activity state. Skin potential activitiy (SPA), skin conductance activity (SCA), etc. can be measured as an EDA index by a skin electrometer. Skin potential activity (SPA) includes skin potential level (SPL), skin potential reflex (SPR), and the like, which are indicators of arousal level.

  As the physiological index measuring device 10b, any one of the above-mentioned heart rate measuring device, pulse wave / Korotrov sound recorder, skin electrometer, etc. may be used, or a plurality of types of devices may be used in combination. May be. The physiological index measuring device 10b is connected to the peripheral device I / F unit 17 of the respondent terminal 10a via a cable or the like, or is connected by wireless or the like.

  The physiological index data measured by the physiological index measuring apparatus 10b is stored in a storage unit in the physiological index measuring apparatus 10b, and transmitted sequentially or collectively to the respondent terminal 10a. The control unit 11 of the respondent terminal 10a performs control so that processing on the respondent terminal 10a side (question display, answer input, etc.) and measurement start timing and measurement end timing in the physiological index measuring device 10b are linked. Depending on the specifications of the physiological index measuring device 10b, it may not always be possible to synchronize with the process on the respondent terminal 10a side. In this case, while the question is displayed, the physiological index measuring device 10b continuously measures the time information while measuring the respondent's physiological index, and the answerer terminal 10b also displays a time such as the question display time and the answer input time. Measure information. Then, at the time of data analysis, the time on the physiological index measuring device 10b side may be matched with the time on the respondent terminal 10a side.

  Next, the operation of the vocabulary determination task analysis apparatus 10 according to the second embodiment will be described with reference to FIGS. FIG. 15 is a flowchart for explaining the flow of answer processing executed by the vocabulary determination task analysis apparatus 10 according to the second embodiment, and FIG. 16 is input data 4a input by the respondent to the vocabulary determination task analysis apparatus 10. 17 is a flowchart for explaining the flow of analysis processing executed by the vocabulary determination task analysis apparatus 10 according to the second embodiment, FIG. 18 is an example of analysis result data 6a, and FIG. 19 is a flowchart of the second embodiment. FIG. 20 is an example of an analysis chart 80 according to the second embodiment. FIG. 20 is an example of an analysis chart 80 according to the second embodiment.

  The control unit 11 of the respondent terminal 10a of the vocabulary determination task analysis apparatus 10 reads the response processing program shown in FIG. 15 from the storage unit 12, and executes the processing according to the following procedure.

  In the answer processing shown in FIG. 15, first, the control unit 11 acquires prime stimulus information stored in the storage unit 12 and displays it on the display unit 16. Further, the control unit 11 outputs a measurement start instruction to the physiological index measurement device 10b at the same timing as displaying the prime stimulus information on the display unit 16, and starts measurement of physiological index data (step S501).

  When receiving the measurement start instruction from the respondent terminal 10a, the physiological index measurement device 10b starts measuring physiological index data. For example, when using a heart rate measuring device, the respondent's heart rate, ECG data, and the like are measured. The measured physiological index data is stored in the storage unit 12 of the respondent terminal 10a in association with the question.

When the predetermined time has elapsed, the control unit 11 acquires the target stimulus information stored in the storage unit 12 and displays it on the display unit 16. Simultaneously with the display of the target stimulus information, the control unit 11 starts measuring the reaction time (step S502).
The question page display procedure (prime stimulus information display screen 21, target stimulus information display screens 22, 23, etc.) is the same as in the first embodiment.

  When an answer is input on the target stimulus information display screen 22 (23), the control unit 11 acquires the selected answer as the answer data 42. Further, the control unit 11 ends the measurement of the reaction time by the time measuring unit 18 and collects the acquired time measurement data as the reaction time data 43. The reaction time data 43 is stored in the storage unit 12 as input data 4a in association with response data 42 for each target stimulus information (character string data 41). The respondent terminal 10a acquires physiological index data sequentially or collectively from the physiological index measuring device 10b (step S503).

  The input of answers and the measurement of reaction time are the same as in the first embodiment. The obtained reaction time data 43 is held in association with the answer data 42 for each question page (character string 41). The physiological index data 44 is also stored in association with the answer data 42 of each question page (character string 41) (step S504). However, physiological index data continuously measured such as an electrocardiogram and a pulse wave may be held as a series of data instead of a question page (character string) unit. In this case, when the respondent terminal 10a performs the analysis process, the time stamp or the like given to the measurement data by the physiological index measuring device 10b is matched with the answer time of the question, and the physiological index data corresponding to the answer of the question is calculated. do it.

  Next, the control unit 11 determines whether or not there is a next question page. If there is a next question page (step S505; Yes), the control unit 11 returns to step S501.

  The control unit 11 displays the prime stimulus information display screen 21 again, and then displays the next target stimulus information display screen 23. The control unit 11 starts measuring the physiological index at the same timing as the display of the prime stimulus information 30. Moreover, the control part 11 starts the measurement of reaction time at the same timing as the display of the target stimulus information display screen 23.

  When an answer is input to the next target stimulus information display screen 23, the control unit 11 acquires the selected answer as the answer data 42. The control unit 11 ends the measurement of the reaction time by the time measuring unit 18, collects the acquired time measurement data as the reaction time data 43, and stores the answer and the reaction time in the storage unit 12. In addition, the control unit 11 acquires the physiological index data 44 from the physiological index measuring device 10b, and stores the physiological index data 44 in association with the response data 42 of each character string 41.

  As described above, the control unit 11 repeatedly displays the question page, measures the reaction time, measures the physiological index data, and inputs the answer. When there is no next question page (step S505; No), the control unit 11 performs an answer totaling process (step S506). When the answer totaling process is completed, the control unit 11 performs an experimental evaluation based on the answer totaling data 51 (step S507).

In the answer counting process in step S506, the control unit 11 determines whether the answer is correct or not for the input data 4a (answer data 42 in FIG. 16) acquired by the processes in steps S501 to S505.
In the experiment evaluation process in step S507, the control unit 11 calculates the experiment evaluation data 52 such as the correct answer rate, the CR rate, the MISS rate, and the FA rate based on the answer total data 51 (FIG. 6) obtained in step S506.
Since the answer counting process and the experiment evaluation process are the same processes as those in the first embodiment, a duplicate description is omitted.

  The control unit 11 stores the answer total data 51 that is the result of step S506 and the experimental evaluation data 52 that is the result of step S507 in the storage unit 12 (step S508), and ends the answer process.

  The vocabulary determination task analysis apparatus 10 performs the above-described answer processing on a plurality of respondents. Then, response results (input data 4a) by a plurality of respondents are acquired, stored in the storage unit 12, and stored. Further, the answer totaling process and the experiment evaluation are respectively performed on the input data 4a of the plurality of respondents, and the answer totaling data 51 and the experiment evaluation data 52 of each respondent are stored in the storage unit 12. Input data 4a obtained from a plurality of respondents is used for analysis processing (analysis processing in FIG. 17) described later.

Next, analysis processing executed by the vocabulary determination task analysis apparatus 10 according to the second embodiment will be described with reference to FIGS.
The control unit 11 of the vocabulary determination task analysis apparatus 10 reads the analysis processing program shown in FIG. 17 from the storage unit 12 and executes processing according to the following procedure.

  In the analysis process, the control unit 11 acquires input data 4a (response data 42, reaction time data 43, and physiological index data 44) from a plurality of respondents from the storage unit 12 (step S601). At this time, based on the experimental evaluation performed in step S507, the input data 4a of the respondent with a good experimental evaluation result may be acquired. Based on the acquired input data 4a, the control unit 11 adds up the response times of responses to the character strings (step S602). The totaling of reaction times may be performed in the same manner as in the first embodiment.

  Next, the control unit 11 calculates a physiological index or an analysis index related to emotion based on the acquired physiological index data 44 of the input data 4a. An analysis index is calculated for each character string (step S603).

  Examples of analysis indices relating to physiological indices or emotions include the following (A) to (F).

(A) Stress / relaxed state The stress / relaxed state is an analysis index indicating a stressed state or a relaxed state when an object is selected. A known method may be used as a method for calculating the stress / relaxed state. For example, Japanese Patent Application Laid-Open No. 2009-66017 uses a pulse wave sensor for measuring a finger tip volume pulse wave, which is a volume change of a blood vessel of a finger tip, and a computer terminal connected to the pulse wave sensor, It describes a technique for diagnosing the state of mind and body of a user by calculating a stress evaluation value by performing chaos analysis on the user's pulse wave and comparing it with a reference stress evaluation value. Japanese Patent Laid-Open No. 9-70399 discloses a subject's heart rate, measures the required time between each predetermined heart rate, sequentially calculates an increase rate of the required time, and determines that the rate is an increase rate. An apparatus is described in which the degree of relaxation is easily determined in multiple stages such as “small”, “medium”, and “large” by comparison with a reference value. In addition, a method for obtaining a relaxation degree determination index from a power value in a specific frequency band and an overall power value by performing fast Fourier transform on the measured value of the heartbeat R—R interval (Japanese Patent Laid-Open No. 1-1131648), A method of calculating the variance of the heart rate RR interval as an index (Japanese Patent Laid-Open No. 3-272745), detecting a respiratory signal in addition to the heart rate signal, and calculating the variance of both or one of the signals A method (Japanese Patent Laid-Open No. 5-42129) or the like that is used as a determination index has also been proposed.

  Possibility to analyze the psychological state such as the degree of stress at the time of target selection by calculating the stress / relaxation state while respondents are answering the question with quantitative analysis index and showing it in the result of questionnaire Can be considered.

(B) Pleasure / discomfort “Pleasure / discomfort” is an analysis index indicating a pleasant state or an unpleasant state when an object is selected. A well-known method may be used as a method for calculating the pleasant / unpleasant state. For example, in Japanese Patent Laid-Open No. 2006-149470, a VLF including a peak value of a muscle fatigue signal is obtained by obtaining a time-series waveform of the slope of heartbeat variability based on a biological signal such as a pulse wave or a heartbeat, performing frequency analysis on this. Describes how to extract the frequency components belonging to the frequency band or the ULF frequency band that contains the peak value of the sleep signal, display the spectrum of the logarithm, calculate the slope of the spectrum with respect to the frequency, and determine the comfort level Has been. The VLF (very low-frequency) frequency band is a frequency band of 0.0033 to 0.04 Hz, and the frequency component of heart rate variability included in this frequency band includes many signals (fatigue signals) that appear during fatigue. ing. The ULF (ultralow-frequency) frequency band is a frequency band of 0.0033 Hz or less, and the frequency component of heart rate variability included in this frequency band includes many signals that appear at the onset of sleep onset (sleep onset predictor signal). Yes. The degree of comfort is quantified depending on whether the slope is close to 1 / f0, 1 / f, or 1 / f2. Japanese Patent Laid-Open No. 2000-116614 provides a glove with a temperature sensor for skin temperature measurement, an electrode for skin impedance measurement, an LED and a phototransistor for pulse wave measurement, and a pulse wave detection circuit, temperature detection A device that captures pulse wave, skin temperature, and skin impedance into a measurement control CPU via a circuit and a skin impedance detection circuit, respectively, and comprehensively evaluates comfort from changes in skin temperature, skin impedance, and pulse is described. Yes. Also disclosed is a method for evaluating comfort based on changes in skin temperature, skin impedance, and change rate and differential value compared to when the pulse is at rest.

  It may be possible to analyze the relationship between comfort and discomfort at the time of object selection by quantitatively obtaining the pleasant / discomfort state while the respondent is answering the question and showing it in connection with the results of the questionnaire. It is done.

(C) Awakening level The “awakening level” is an analysis index indicating the sleep level or awakening level of the respondent when selecting an object. A known method may be used as a method for calculating the arousal level. For example, in International Publication WO2010 / 140273, a heartbeat interval is calculated from a heartbeat signal of a subject, a spectral density for each frequency is calculated with respect to the calculated heartbeat interval, a maximum point density, a maximum point frequency, and a maximum point frequency. The spectral density corresponding to the frequency before and after the frequency and the magnitude difference relationship indicating the difference between the local maximum densities are combined and extracted at a predetermined timing, and the local maximum frequency and local maximum extracted at the timing before the combination are extracted. It describes a method for determining the degree of arousal based on a determination criterion determined by comparing the point density with the magnitude difference relationship. In addition, for example, a method (Japanese Patent Laid-Open No. 2004-350773) for evaluating the degree of sleepiness of a subject based on whether or not the frequency of the heartbeat signal of the subject is lower than the peak frequency on the basis of the peak frequency when the heartbeat signal is awakened. There is also known a technique (Japanese Patent Laid-Open No. 8-299443) for evaluating a subject's arousal level based on the intensity of the low-frequency part and the high-frequency part of the pulse wave signal and the ratio between the low-frequency part and the high-frequency part.

  There is a possibility that the level of arousal while the respondent is answering a question will be obtained and linked to the results of the questionnaire to understand the level of sleepiness and arousal in the response and to analyze the credibility of the answer. It is done.

(D) Emotional state (basic emotion)
The “emotion state” is an analysis index indicating the emotional state of the respondent at the time of selecting an object. For example, the level of various emotions is indicated by a score (point) or a ratio. “Basic emotions” are emotions that are considered to be expressed universally with a biological basis, regardless of culture. For example, Paul Ekman, a psychologist who conducted pioneering research on emotions and facial expressions, has six basic types of "fear, anger, sadness, disgust, joy, and surprise". It is defined as emotion. However, it is not limited to these emotions, but may include other emotional states.

  A known method may be used as a method for calculating the emotional state. For example, Japanese Patent Application Laid-Open No. 2002-112969 discloses an electrocardiogram, a blood pressure sensor, a skin temperature sensor, a skin resistance sensor that measures skin resistance, a respiratory sensor that measures a respiratory rate, and the like. Analog biological signals corresponding to resistance, etc. are detected, these biological signals are digitally processed, various biological parameters are obtained, and body and emotional states (“joy”, “sadness”, “anger” are determined based on the biological parameters. ”,“ Boring ”,“ stress ”, etc.). Examples of the biological parameters include LF, HF, LF / HF, RR, HR, RSA, SKT, SCL, N-SCR, SCRM, SCL, and N-SCR.

  LF and HF are parameters calculated based on heart rate variability. HF is a value (high frequency value HF) obtained by integrating the power spectrum belonging to the high frequency range as a result of fast Fourier transform of the heart rate variability, and LF is a value (low frequency value LF) obtained by integrating the power spectrum belonging to the low frequency range. . LF / HF is a value obtained by dividing the low frequency value LH by the high frequency value HF. RR is the time interval between the positive peak (R wave) and the positive peak (R wave) of the electrocardiogram. The HR is the number of times of heart movement per unit time. RSA (resporatory sinus arrhythmia) is a biological parameter calculated from an electrocardiogram, and is a value obtained by dividing the result obtained by subtracting the minimum interval from the maximum interval among the intervals between the R wave and the R wave, That is, it is a respiratory variation component represented by ((maximum interval−minimum interval) / minimum interval). SKT (skin temperature) is a biological parameter for skin temperature, and is an average skin temperature value. SCL, N-SCR, SCRM, and SCL are biological parameters for the degree of skin resistance. SCL (skin conduction level) is the average of skin resistance reciprocal values, N-SCR (skin conduction response number) is the number of negative zero crossings determined from a graph representing the reciprocal skin resistance value, SCRM (skin conduction) (Response) is the reciprocal of the sum of height values from the number of positive slope zero crossings to the negative slope zero crossings.

  By analyzing emotions while respondents are answering questions and showing them in connection with the results of a questionnaire, it may be possible to obtain emotional insights at the time of target selection.

(E) Autonomic nerve activity “Autonomous nerve activity” is an autonomic nerve index obtained from a physiological index, and includes autonomic nerve activity (activity of sympathetic nerve activity, activity of parasympathetic nerve activity) and the like. It is known that the sympathetic nervous system is more active in stressful situations, and conversely the parasympathetic nerve is more active in less stressful situations.
The autonomic nerve activity can be calculated by performing a Fourier analysis of the heart rate fluctuation measured by the physiological index measuring device 10b and performing a power spectrum analysis of the frequency component using a known method such as a maximum entropy method. The activity of parasympathetic nerve activity is obtained by HF, and the activity of exchange nerve activity is obtained by LF / HF. LF is the total value of the power spectrum of the intermediate frequency component (for example, 0.05 to 0.20 Hz), and HF is the total value of the power spectrum of the high frequency component; for example, 0.20 to 0.35 Hz. Note that HF and LF in this paragraph do not necessarily coincide with HF and LF described in the above-mentioned JP-A-2002-112969. In addition, since there are various theories about the frequency ranges of LF and HF, they are not limited to the above numerical ranges.

  By analyzing the autonomic nerve activity while respondents are answering the questions and linking them with the results of the questionnaire, it is possible to grasp the distance between the prime stimulus and the target stimulus as seen from the autonomic nerve activity Therefore, there is a possibility that a new analysis by clustering can be performed.

(F) Physiological index value The “physiological index value” is the value of the physiological index itself measured by the physiological index measuring apparatus 10b such as heart rate and blood pressure. Physiological index values while respondents are answering questions are shown directly linked to the results of the questionnaire, making it possible to grasp the physiological distance between the prime stimulus and the target stimulus, and new analysis by clustering is possible. Possible possibilities.

  All of the above-described analysis indexes (A) to (F) may be calculated, or only necessary ones may be selectively calculated according to the purpose of the survey. In order to select which analysis index to calculate, a selection screen or the like may be presented so that the operator can select it.

FIG. 18 is a diagram illustrating an example of the analysis result data 6a that is the processing result of steps S602 to S603.
The analysis result data 6a is obtained by collecting the reaction time 63 and the analysis index 65 for each character string 62 with respect to the prime stimulus information 30 that is an investigation object. The reaction time counting method may calculate, for example, an average value of the reaction times of a plurality of respondents, as in the first embodiment. The rank 61 of the analysis result data 6 is the rank sorted from the shorter reaction time. The number of cases 64 is the number of input data 4 used for counting the character strings 62. For example, when the average value of the reaction time is calculated from the responses for four people, the number of cases 64 is “4”. The analysis index 65 is an analysis index related to the physiological index or emotion calculated in step S603. Although one kind of index is shown as the analysis index 65 in FIG. 18, a plurality of kinds of indices may be calculated.

  The analysis result data 6a in FIG. 18 is a result of investigation using the prime stimulus information 30 as an investigation object. The character strings used as the target stimulus are “cute”, “hahon”, “scare”, “nostalgic”, “kaisuki”, “interesting”, and the like. The reaction time 63 for the character string “cute” is calculated as “879.0”, and the value of the analysis index 65 regarding the physiological index or emotion is calculated as “3.8”. In addition, the reaction time 63 for the character string “hahon” is calculated as “902.0”, and the analysis index value 65 regarding the physiological index or emotion is calculated as “−1.3”.

  After calculating the reaction time and analyzing the physiological index or the emotional analysis index by the processes of steps S602 to S603, the control unit 11 creates the analysis chart 80 (step S604).

  The control unit 11 of the vocabulary determination task analysis apparatus 10 reads the analysis chart creation processing program shown in FIG. 19 from the storage unit 12 and executes processing according to the following procedure. In the following description, a process for creating the analysis chart 80 shown in FIG. 20 will be described as an example.

  First, the control unit 11 acquires an object 800 indicating prime stimulation information from the storage unit 12 (step S701). As in the first embodiment, the object 800 indicating prime stimulus information may use the image of the prime stimulus information 30 as it is, or may be a design combining figures, colors, and the like.

  Next, the control part 11 extracts the character string used for the analysis chart 80 from the analysis result data 9 (step S702). The character string extraction process is the same as that in the first embodiment.

  The control unit 11 creates the respective objects 801a to 801d indicating the extracted character string (target stimulus information) (step S703). The object indicating the target stimulus information is image data or modified character data in which the target stimulus information is designed as in the first embodiment.

  Next, the control unit 11 acquires objects (arrow objects) 803a, 803b, 803c, and 803d indicating reaction times, and displays the display state (size and size) of the arrow objects 803a, 803b, 803c, and 803d according to the length of the reaction time. Color etc.) is changed (step S704). Objects 803a, 803b, 803c, and 803d indicating reaction times are created for each character string (target stimulus information).

  Next, the control unit 11 changes the display form (size, color, etc.) of the objects 801a, 801b, 801c, 801d indicating each target stimulus information based on the physiological index or the analysis index related to emotion (step S705).

  For example, in the example of FIG. 20, each object 801a-801d which shows target stimulus information is shown with an ellipse. The size of the ellipse is changed according to the value of the physiological index of each character string (target stimulus information) or the analysis index related to emotion. Further, the arrows connecting the object 800 indicating the prime stimulus information and the objects 801a to 801d indicating the target stimulus information are the objects 803a, 803b, 803c, and 803d indicating the reaction time. The length of the arrow corresponds to the length of the reaction time.

  The control unit 11 lays out an object 800 indicating prime stimulus information, objects 801a to 801d indicating target stimulus information, and objects 803a, 803b, 803c, and 803d indicating reaction times in a predetermined arrangement (step S706).

In the layout, the object 800 indicating the prime stimulus information is arranged around the object 800, the plurality of objects 801a to 801d indicating the target stimulus information are arranged around the object 800 indicating the prime stimulus information, and the object 800 indicating the prime stimulus information and the target Arrow objects 803a to 803d indicating reaction times are arranged so as to connect the objects 801a to 801d indicating stimulus information. The lengths of the arrow objects 803a to 803d indicating the reaction time correspond to the length of the reaction time.
Further, the size of each object 801a to 801d indicating the target stimulus information corresponds to the size of the physiological index or the emotional analysis index of each character string (target stimulus information).

  FIG. 20 is an example of an analysis chart 80 created as a result of layout.

  In FIG. 20, each of the objects 801a to 801d indicating the target stimulus information employs a combination of a character string and a graphic (ellipse) as a design and has a uniform character size and font, but is not limited thereto. The figure is not limited to an ellipse, and may be another figure. Moreover, you may add a color and a pattern to each object 801a-801d. Further, the character size, font, color, and the like may be changed in accordance with the sizes of the objects 801a to 801d.

  Further, the colors of the objects 801a to 801d indicating the target stimulus information may be changed according to physiological index data or an analysis index related to emotion. For example, when the stress state is calculated as physiological index data or an analysis index related to emotion, when the evaluation value indicating the stress state is small, the stress state is indicated by a bright color, and when the evaluation value is high, the stress state is indicated by a dark color. To do. In this case, it is desirable to display a color chart showing the relationship between the size and color of an analysis index indicating a physiological index or emotion together with the analysis chart.

  When the analysis chart 80 is created, the control unit 11 outputs the created analysis chart 80 (step S707, step S605 in FIG. 17). The output includes display on a display screen, print output, data transmission to a network, and the like.

As described above, the vocabulary determination task analysis apparatus 10 according to the second embodiment presents words or non-words as target stimulus information after presenting prime stimulus information, and does the target stimulus information make sense as a vocabulary? The vocabulary determination tasks for determining whether or not are sequentially displayed as questions. And the reaction time until an answer is input with respect to a question is measured. In addition, the physiological index data of the respondent who is answering the question is measured. The control unit 11 aggregates answers and reaction times obtained from a plurality of respondents, and creates and outputs an analysis chart showing the prime stimulus information, target stimulus information, and reaction time as a result of analysis. In addition, the physiological index data is analyzed to calculate an analytical index representing the physiological index or emotion, and the display format of, for example, target stimulus information on the analysis chart is changed according to the analytical index representing the physiological index or emotion.
Therefore, the result of the vocabulary determination task can be presented in an easy-to-read form in the form of an analysis chart. In particular, since the physiological index is measured and the analysis result is shown in the analysis chart, it becomes easy to grasp the psychological state of the respondent who is answering.

[Third Embodiment]
Next, a vocabulary determination task analysis apparatus 20 according to a third embodiment of the present invention will be described with reference to FIGS.

  The vocabulary determination task analysis apparatus 20 of the third embodiment measures the response time of an answer to a question, uses it for analysis, and captures the face image of the respondent during the answer by the camera 10c (imaging means), The emotion is further analyzed based on the captured face image data.

FIG. 21 is an overall configuration diagram of the vocabulary determination task analysis apparatus 20 according to the third embodiment.
As shown in FIG. 21, the vocabulary determination task analysis apparatus 20 according to the third embodiment includes a respondent terminal 10a and a camera 10c (imaging means). The camera 10c may be communicatively connected to the peripheral device I / F unit 17 of the respondent terminal 10a through an interface such as a cable or wireless, or may be integrated with the respondent terminal 10a.

  As in the first and second embodiments, the respondent terminal 10a is a device that displays a question, inputs a response, measures a reaction time, counts the acquired responses, and performs an analysis process. Since the internal structure of the respondent terminal 10a is the same as that of the vocabulary determination task analysis apparatus 1 of the first embodiment, a duplicate description is omitted, and the same parts are denoted by the same reference numerals and the following description is given. . In addition, although the respondent terminal 10a has illustrated the tablet-type computer as an example in the example of FIG. 21, the form of the respondent terminal 10a is not limited to this. As with the vocabulary determination task analysis apparatus 1 of the first embodiment, various electronic devices having the internal configuration of FIG. 1 can be used.

  The camera 10c is a device that captures an answerer's face image for each question. The camera 10c may be a camera that shoots still images or a video camera that shoots moving images. The input image may be a still image or a moving image in accordance with the emotion analysis algorithm installed on the respondent terminal 10a. The face image data photographed by the camera 10c is input to the respondent terminal 10a. The respondent terminal 10a stores the face image data input from the camera 10c in the storage unit 12 in association with the question.

  In the third embodiment, the respondent terminal 10a has an emotion analysis function of analyzing the respondent's facial expression based on the face image data input from the camera 10c and obtaining an analysis index indicating emotion. The emotion analysis function is held in the storage unit 12 of the respondent terminal 10a or the ROM of the control unit 11 in the form of an application program, for example. Moreover, the respondent terminal 10a shows the analysis index regarding emotions in the analysis chart. The display form of the object indicating the target stimulus information of the analysis chart is changed according to the analysis index related to emotion.

  As a technique for analyzing emotions based on the face image data and outputting the analysis index, a known technique may be used. For example, in Japanese Patent Laid-Open No. 2012-155631, a plurality of face parts are detected from a face image, a mouth region including a right mouth corner and a left mouth corner is determined based on a pixel distribution of a mouth region processing range, and the mouth region is vertically and horizontally A technique for determining a facial expression of a subject by assigning points according to the ratio, the area of the mouth area, and the position of the right mouth corner and the position of the left mouth corner in the mouth area is disclosed. The above-mentioned points are fear level, laughter level, disgust level, sadness level, cold smile level, normal level, and the like. In Japanese Patent Laid-Open No. 2009-098901, a face image of a person is detected from a moving image, the tip of the nose and the position of the mouth corner are extracted as feature points from the face image area, and the nose tip is used as a reference. Measure the angle between the left and right positions of the mouth corner and use it as a feature value to obtain the time change of the angle. From the time change, the state rises from the equilibrium state, the maximum angle information, and the state of falling to the equilibrium state. A technique for detecting a laughing state by capturing a continuous change from the start to the end of the laughing state by dividing is disclosed. Also, based on 3D model fitting technology and statistical identification methods based on accumulated face image data, facial expressions such as joy / surprise / fear / disgust / anger / sadness / no expression are estimated from the input face image. In addition, a technique for numerically outputting the degree of each emotion has been proposed (http://www.omron.co.jp/press/2012/10/e1023.html).

  Next, the operation of the vocabulary determination task analysis apparatus 20 according to the third embodiment will be described with reference to FIGS. FIG. 22 is a flowchart for explaining the flow of the questionnaire response process executed by the vocabulary determination task analysis apparatus 20 according to the third embodiment, and FIG. 23 shows the analysis process executed by the respondent terminal 10a of the vocabulary determination problem analysis apparatus 20. It is a flowchart explaining a flow.

  The control unit 11 of the respondent terminal 10a of the vocabulary determination task analysis apparatus 20 reads the response processing program shown in FIG. 22 from the storage unit 12, and executes the processing according to the following procedure.

  In the answer process shown in FIG. 22, the control unit 11 first acquires prime stimulus information stored in the storage unit 12 and displays it on the display unit 16. In addition, the control unit 11 outputs a measurement start instruction to the camera 10c at the same timing as displaying the prime stimulus information on the display unit 16 and starts photographing the face image (step S801).

  Upon receiving a shooting instruction from the respondent terminal 10a, the camera 10c starts capturing a face image. In the third embodiment, a moving image of the respondent's face is taken. The photographed face image data is held for each question in the storage unit 12 of the respondent terminal 10a. When an answer is input, the respondent terminal 10a sends a shooting stop instruction to the camera 10c. The camera 10c stops shooting according to the shooting end instruction.

When the predetermined time has elapsed, the control unit 11 acquires the target stimulus information stored in the storage unit 12 and displays it on the display unit 16. Simultaneously with the display of the target stimulus information, the control unit 11 starts measuring the reaction time (step S802).
The question page and the like are the same as the question display screen (see FIG. 3) of the first embodiment.

  When any one of the answer input buttons 32 and 33 is selected on the question page 22 (23), the control unit 11 acquires the selected answer as the answer data 42. Further, the control unit 11 ends the measurement of the reaction time by the time measuring unit 18 and collects the acquired time measurement data as the reaction time data 43. The reaction time data 43 is stored in the storage unit 12 as input data in association with the answer data 42 for the character string 41 of the question page 22. In addition, the respondent terminal 10a acquires face image data from the camera 10c sequentially or collectively (step S803).

  The input of answers and the measurement of reaction time are the same as in the first embodiment. The obtained reaction time data 43 is held in association with the answer data 42 for each question page (character string 41). The face image data is also stored in association with the answer data 42 of each question page (character string 41) (step S804).

  The control unit 11 determines whether or not there is a next question page. If there is a next question page (step S805; Yes), the control unit 11 returns to step S801 and displays the next question page 23 on the display unit 16. Similarly, for the next question page 23, an answer is input, a reaction time is measured, and a face image is taken to obtain input data (answer data, reaction time data) and face image data.

  As described above, the control unit 11 repeatedly displays options, measures reaction time, captures a face image, inputs answers, stores answers, reaction times, and face image data, and displays a question page to be displayed next. If there is no more (step S805; No), then the control unit 11 performs an answer totaling process (step S806). When the answer totaling process is completed, the control unit 11 performs an experimental evaluation based on the answer totaling data 51 (step S807).

In the answer counting process in step S806, the control unit 11 determines whether the answer is correct or not for the input data (answer data 42 in FIG. 16) acquired by the processes in steps S801 to S805.
In the experiment evaluation process of step S807, the control unit 11 calculates the experiment evaluation data 52 such as the correct answer rate, the CR rate, the MISS rate, and the FA rate based on the answer total data 51 (FIG. 6) obtained in step S806.
Since the answer counting process and the experiment evaluation process are the same processes as those in the first embodiment, a duplicate description is omitted.

  The control unit 11 stores the answer total data 51 that is the result of step S806 and the experimental evaluation data 52 that is the result of step S807 in the storage unit 12 (step S808), and ends the answer process.

  The vocabulary determination task analysis apparatus 10 performs the above-described answer processing on a plurality of respondents. Then, response results (input data) by a plurality of respondents are acquired, stored in the storage unit 12 and stored. In addition, the answer totaling process and the experiment evaluation are respectively performed on the input data of the plurality of respondents, and the answer totaling data 51 and the experiment evaluation data 52 of each respondent are stored in the storage unit 12. Input data obtained from a plurality of respondents is used for analysis processing (analysis processing in FIG. 23) described later.

Next, analysis processing executed by the vocabulary determination task analysis apparatus 20 according to the third embodiment will be described with reference to FIG.
The control unit 11 of the vocabulary determination task analysis apparatus 20 reads the analysis processing program shown in FIG. 23 from the storage unit 12 and executes processing according to the following procedure.

  In the analysis process, the control unit 11 acquires input data 4 (answer data 42, reaction time data 43, and face image data) from a plurality of respondents from the storage unit 12 (step S901). At this time, input data of respondents with good experimental evaluation results may be acquired based on the experimental evaluation performed in step S807. Based on the acquired input data, the control unit 11 adds up the response time of responses to each character string (step S902). The totaling of reaction times may be performed in the same manner as in the first embodiment.

  Next, the control part 11 calculates the analysis parameter | index regarding emotion based on the face image data of the acquired input data. An analysis index is calculated for each character string (step S903).

  The analysis index related to the emotion estimated from the face image is, for example, a numerical value of the ratio of basic emotions (fear, anger, sadness, disgust, joy, surprise, etc.) and other emotions.

  As the emotion analysis index, all of the above-mentioned basic emotions and other emotions may be digitized, or only necessary ones may be selectively calculated according to the purpose of the survey. In order to select which analysis index to calculate, a selection screen or the like may be presented so that the operator can select it.

  After calculating the reaction time tabulation and the emotional analysis index by the processing of step S902 to step S903, the control unit 11 next creates the analysis chart 80 (step S904).

  When creating the analysis chart 80, the control unit 11 displays the display form (size) of the objects (801a, 801b, 801c, and 801d in FIG. 20) indicating each target stimulus information based on the emotion analysis index calculated in step S903. And color). For example, in the analysis chart 80 shown in FIG. 20, each object 801a-801d which shows target stimulus information is shown with an ellipse. The control unit changes the size of the ellipse according to the value of the analysis index related to the emotion estimated based on the face image data in which each character string (target stimulus information) is being answered. The arrows connecting the object 800 indicating prime stimulus information and the objects 801a to 801d indicating target stimulus information are objects 803a, 803b, 803c, and 803d indicating reaction times. The length of the arrow corresponds to the length of the reaction time.

  The processing procedure for creating the analysis chart is the same as the procedure shown in the flowchart of FIG.

  When the analysis chart 80 is created, the control unit 11 outputs the created analysis chart 80 (step S905 in FIG. 23).

  As described above, the vocabulary determination task analysis apparatus 20 according to the third exemplary embodiment of the present invention presents a word or non-word as target stimulus information after presenting prime stimulus information, and the target stimulus information has a meaning as a vocabulary. Vocabulary judgment tasks for judging whether or not to make a question are sequentially displayed as questions. And the reaction time until an answer is input with respect to a question is measured. Also, a face image of the respondent who is answering the question is taken. The control unit 11 aggregates answers and reaction times obtained from a plurality of respondents. Also, an analysis index regarding the respondent's emotion is obtained based on the face image. Furthermore, as an analysis result, an analysis chart is created and output with an analysis index relating to prime stimulus information, target stimulus information, reaction time, and emotion. The analysis index representing emotion is expressed by changing the display form of, for example, target stimulus information on the analysis chart.

  Therefore, the result of the vocabulary determination task can be presented in an easy-to-read form in the form of an analysis chart. In particular, since the face image of the respondent who is answering is taken and the analysis result is shown in the analysis chart, it becomes easy to grasp the psychological state of the answerer who is answering.

[Fourth Embodiment]
Next, a questionnaire analysis system 100 according to a fourth embodiment of the present invention will be described with reference to FIGS.

  In the first to third embodiments, the vocabulary determination task analysis device 1 (10, 20) is a stand-alone type, displays questions, inputs answers, counts, measures reaction time, etc., measures physiological indices, and measures facial images. Processing such as photographing, analysis, and result output was performed locally. However, as shown in FIG. 24, using web, a plurality of client terminals 101 connected to the network 103 perform processing such as displaying questions, inputting answers, and measuring reaction time, and connecting via the network 103. The input data (answer, response time, physiological index data, pleasant image data) in each client terminal 101 may be collected and accumulated in the server 102, and processing such as aggregation, analysis, and result output may be performed. .

  FIG. 24 is an overall configuration diagram of the vocabulary determination task analysis system 100 according to the fourth embodiment, and FIG. 25 illustrates a procedure of processing executed by the server 102 and the client terminal 101 in the vocabulary determination task analysis system 100. It is a sequence diagram.

  As shown in FIG. 24, in the vocabulary determination task analysis system 100 according to the fourth embodiment, one or a plurality of client terminals 101 are connected to a server 102 via a network 103. As described in the second and third embodiments, the physiological index measuring device 10b, the camera 10c (not shown), and the like may be connected to the client terminal 101.

  The client terminal 101 displays questions, inputs answers, measures reaction time, measures physiological data, and measures facial images in the vocabulary determination task analysis apparatuses 1 (10, 20) of the first to third embodiments. It is a computer responsible for shooting-related functions Further, the server 102 requests the server 102 to obtain a question page, receives the question page transmitted from the server 102, and transmits the answer to the question and measurement data (reaction time, physiological index data, face image data, etc.). Communication function.

  The server 102 stores input data in the vocabulary determination task analysis apparatuses 1, 10, 0, and 20 (respondent terminal 10a) of the first to third embodiments, totals answers, analysis indices relating to reaction time and line of sight. It is a computer responsible for functions related to analysis, analysis chart creation, and result output. Further, the server 102 has a communication function for transmitting a question page in response to a request from the client terminal 101 and receiving an answer to the question and measurement data (such as reaction time, physiological index data, and face image data). .

  Since the internal configurations of the client terminal 101 and the server 102 are the same as those of the vocabulary determination task analysis apparatus 1 according to the first embodiment, redundant description is omitted.

The operation of the questionnaire analysis system 100 according to the third embodiment will be described with reference to FIG.
Of the processes executed in the questionnaire analysis system 100, analysis processes based on input data (counting of answers, analysis of measurement data (calculation of analysis index), creation of analysis chart, output of results) are the first to third. This is the same as the analysis processing (FIGS. 8, 17, and 23) performed by the vocabulary determination task analysis devices 1, 10, 20 (respondent terminal 1a) in the embodiment.
Hereinafter, as processing different from the first to third embodiments, processing related to transmission / reception of question pages and transmission of results such as answers and measurement data performed between the client terminal 101 and the server 102 will be described.

  As shown in FIG. 25, when an instruction to start a questionnaire is input at the client terminal 101 (question start request; step S1001), the control unit of the client terminal 101 transmits a request for acquiring a question page to the server 102. (HTML request; step S1002). The question page is, for example, document data such as HTML (HyperText Markup Language), and is stored in the storage unit of the server 102. The control unit of the server 102 acquires the question page from the storage unit of the server 102 in response to the request, and transmits it to the requesting client terminal 101 (HTML response; step S1003).

The control unit of the client terminal 101 transmits an image data acquisition request described in the received question page to the server 102 (image data request; step S1004). The image data includes images such as prime stimulus information. Image data is stored in the storage unit of the server 102. The control unit of the server 102 acquires image data from the storage unit of the server 102 in response to the request, and transmits the image data to the requesting client terminal 101 (image data response; step S1005).
When the question includes a plurality of pages, the question page and the image data are collectively transmitted from the server 102 to the client terminal 101.

The client terminal 101 displays the received question page and image on the display unit. Further, the client terminal 101 starts measuring the reaction time. Further, measurement of a physiological index by the physiological index measuring device 10b and photographing of a face image by the camera 10c are started as necessary (step S1006).
The method of inputting the answer to the question page, the measurement of the reaction time, the measurement of the physiological index, and the photographing of the face image are the same as in the first to third embodiments.

  When the client terminal 101 completes input of responses (reaction time, measurement of physiological index, photographing of face image) for all received question pages (step S1007), the client terminal 101 transmits the measurement result to the server 102 (step S1008). The data to be transmitted to the server 102 as the measurement result includes the input data 4 (data in which the response data 42 and the reaction time data 43 are associated) shown in FIG. 4, the physiological index data 44 shown in FIG. Etc.).

  When the response data 42, reaction time data 43, physiological index data 44, and face image data are received from the client terminal 101 (step S1009), the received measurement results are stored in a predetermined storage area of the server 102 (step S1010). For example, the server 102 activates a result reception CGI (Common Gateway Interface) and stores the received measurement result in a predetermined storage area of the server 102. Note that the result reception and storage operations on the server 102 side in steps S1009 and S1010 are not limited to those using CGI as described above. Any mechanism that can receive and store data on the server 102 side may be used. The server 102 transmits a response indicating whether the result storage has succeeded or failed to the client terminal 101 (step S1011).

  The above processing is repeated between the server 102 and each client terminal 101, and answer data 42, reaction time data 43, physiological index data 44, and face image data by a plurality of respondents are accumulated in the storage unit of the server 102. .

  In the analysis process, the server 102 compiles the answers based on the answer data 42, the reaction time data 43, the physiological index data 44, and the face image data by a plurality of respondents stored in the storage unit, and analyzes the analysis indices related to the reaction time. Calculation, calculation of physiological index or analysis index related to emotion is performed. The control unit of the server 102 outputs an analysis chart as an analysis result. For example, the analysis charts shown in FIGS. 11, 12, 13, and 20 are generated, stored in the storage unit, and displayed on the display unit.

  As described above, in the questionnaire analysis system 100 shown in the fourth embodiment, response data and measurement data are acquired from a large number of client terminals 101 using web, and analysis processing is executed based on the acquired data. To do. For this reason, in addition to the effects of the first to third embodiments, it is possible to obtain a wide range of answers from more respondents, and it is possible to further improve the reliability of the questionnaire results.

  The preferred embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to such examples. For example, the illustrated analysis chart drawing examples and objects are merely examples, and the shape of the figure may be changed or the arrangement may be changed without departing from the spirit of the present invention. Further, the number of target stimuli shown in one analysis chart is not limited to four. In addition, it is obvious that those skilled in the art can come up with various changes and modifications within the scope of the technical idea disclosed in the present application, and these naturally belong to the technical scope of the present invention. It is understood.

1, 10, 20 ... Vocabulary determination task analysis device 10a ... Replyer terminal 10b ... Physiological index measurement Device 10c ···························· 21 Display screen 30 ... Prime stimulus information 31a ... Word string (target stimulus information)
3b ... Non-word character string (target stimulus information)
4, 4a ... Input data 41 ... Character string data 42 ... Reply data 43 ·························· Reaction time data 44 ············· physiological index data 51 ················ 52... Experimental evaluation data 6... Analysis result data 70, 71, 72. , 710, 720... Objects 701a to 701d indicating prime stimulus information... Objects 703a to 703d indicating target stimulus information. ······· analysis chart 800 ··············· 801a to 801d... Object 803a to 803d indicating target stimulus information... Object 100 indicating reaction time...・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ Client terminal 102 ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ Server 103 ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ Network

Claims (11)

A display that displays word strings or non-word strings as target stimulus information after presenting prime stimulus information, and sequentially displays vocabulary judgment tasks for determining whether the target stimulus information is a meaningful word as questions. Means,
An input means for inputting an answer to the question;
A reaction time measuring means for measuring a reaction time from a time when the target stimulus information is displayed to a time when an answer is input;
Storage means for associating and storing responses and reaction times for each target stimulus information;
Analyzing means for analyzing responses and reaction times obtained from a plurality of respondents stored in the storage means;
As an analysis result by the analysis means, an analysis chart creation means for creating an analysis chart that includes the prime stimulus information and the target stimulus information and that shows a response time of a response to the target stimulus information using a design;
Output means for outputting the analysis chart;
A vocabulary determination task analysis device characterized by comprising: Physiological index measuring means for measuring the physiological index data of the respondent during the answer to the question;
Physiological index analysis means for calculating a predetermined analysis index related to a physiological index or emotion based on physiological index data measured by the physiological index measurement means,
The vocabulary determination task analysis apparatus according to claim 1, wherein the analysis chart creating means further shows an analysis index related to the physiological index or emotion using a design in the analysis chart. Imaging means for imaging the face of the respondent during the answer to the question;
Emotion analysis means for calculating a predetermined analysis index related to emotion based on the face image data imaged by the imaging means,
The vocabulary determination task analysis apparatus according to claim 1, wherein the analysis chart creating means further indicates an analysis index related to the emotion using a design in the analysis chart. The analysis chart creating means includes
Centering on the object indicating the prime stimulus information,
An object indicating the target stimulus information is arranged around an object indicating the prime stimulus information,
The vocabulary determination task analysis device according to claim 1, wherein an object connecting the object indicating the prime stimulus information and each object indicating the target stimulus information is arranged with a size corresponding to the reaction time. The analysis chart creating means includes
Centering on the object indicating the prime stimulus information,
An object indicating the target stimulus information is arranged around an object indicating the prime stimulus information,
The vocabulary determination task analysis apparatus according to claim 1, wherein a size of each object indicating the target stimulus information is set to a size corresponding to the reaction time. The analysis chart creating means includes
Centering on the object indicating the prime stimulus information,
An object indicating the target stimulus information is arranged around an object indicating the prime stimulus information,
The lexical judgment task analysis apparatus according to claim 1, wherein a color of each object indicating the target stimulus information is drawn in a color corresponding to the reaction time. The analysis chart creating means includes
Centering on the object indicating the prime stimulus information,
A plurality of objects indicating the target stimulus information are arranged around an object indicating the prime stimulus information,
An object connecting the object indicating the prime stimulus information and each object indicating the target stimulus information is arranged in a size according to the reaction time,
The lexical judgment task analysis apparatus according to claim 2 or 3, wherein a display form of each object indicating the target stimulus information is a display form corresponding to the physiological index or an analysis index related to emotion.   2. The vocabulary determination task analysis apparatus according to claim 1, further comprising an experiment evaluation unit that evaluates the reliability of the experiment for each respondent based on the correctness rate of answers obtained from each respondent. A vocabulary determination task analysis system in which a server and a client terminal are connected via a network,
The server
In response to a request from the client terminal, after presenting prime stimulus information, a word character string or a non-word character string is presented as target stimulus information to determine whether the target stimulus information is a meaningful word. A communication means for transmitting a question page of a vocabulary determination task and receiving an answer to the question from the client terminal and a reaction time from the time when the question page is displayed to the time when the answer is input;
Storage means for storing the response and response time for each target stimulus information received by the communication means in association with each other;
Analyzing means for analyzing responses and reaction times obtained from a plurality of respondents stored in the storage means;
As an analysis result by the analysis means, an analysis chart creation means for creating an analysis chart that includes the prime stimulus information and the target stimulus information and that shows a response time of a response to the target stimulus information using a design;
Output means for outputting the analysis chart,
The client terminal is
A request page display means for requesting the server to obtain the question page and receiving and displaying the question page transmitted from the server;
Input means for inputting an answer to the question page;
Reaction time measuring means for measuring the reaction time from the time when the question page including the target stimulus information is displayed to the time when the answer is input;
A lexical judgment problem analysis system comprising: a result transmission unit configured to transmit the answer and a response time of the answer to the server. A vocabulary determination task analysis method performed using a computer,
Steps of presenting word stimulus strings or non-word character strings as target stimulus information after presenting prime stimulus information and sequentially displaying vocabulary judgment tasks for determining whether the target stimulus information is a meaningful word as questions When,
Inputting an answer to the question;
Measuring a reaction time from the time when the target stimulus information is displayed to the time when the answer is input;
Storing the response and response time for each target stimulus information in the storage unit in association with each other;
Analyzing answers and reaction times obtained from a plurality of respondents stored in the storage unit;
Creating an analysis chart including the prime stimulus information and the target stimulus information as an analysis result, and showing a response time of a response to the target stimulus information using a design;
Outputting the analysis chart;
A lexical judgment task analysis method characterized by including: Computer
A display that displays word strings or non-word strings as target stimulus information after presenting prime stimulus information, and sequentially displays vocabulary judgment tasks for determining whether the target stimulus information is a meaningful word as questions. means,
An input means for inputting an answer to the question;
Reaction time measuring means for measuring the reaction time from the time when the target stimulus information is displayed to the time when the answer is input,
Storage means for storing the response and response time for each target stimulus information in association with each other;
Analyzing means for analyzing answers and reaction times obtained from a plurality of respondents stored in the storage means;
As an analysis result by the analysis means, an analysis chart creation means for creating an analysis chart that includes the prime stimulus information and the target stimulus information and that shows a response time of a response to the target stimulus information using a design;
Output means for outputting the analysis chart;
Program to function as.

Images