JP2024073904A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide an information processing device, information processing method, and information processing program, which enable facilitation of crowdsourcing.SOLUTION: An information processing device disclosed herein comprises an acquisition unit, determination unit, and designation unit. The acquisition unit acquires execution information regarding execution of past tasks executed by a first user using a first terminal device. The determination unit determines whether the execution by the first user satisfies predetermined conditions or not on the basis of the execution information acquired by the acquisition unit. The designation unit designates the first user, whose execution is determined to satisfy the predetermined conditions by the determination unit, as a monitor for monitoring execution of tasks by a second user using a second terminal device.SELECTED DRAWING: Figure 4

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, there is known a form of outsourcing in which the execution of a task is entrusted to an unspecified number of people via a network such as the Internet. This form of outsourcing is also called crowdsourcing.

As a crowdsourcing technique, Patent Literature 1 proposes a technique for estimating the amount of free time a user has between a given point in time and a deadline based on the behavioral history of the users who are candidates for performing a task, and for selecting a user who can complete the task by the deadline based on the deadline and the free time.

JP 2022-039121 A

However, the technology described in Patent Document 1 is limited to selecting users to perform tasks, and there is room for improvement in terms of further promoting crowdsourcing. For example, in crowdsourcing, tasks are requested from an unspecified number of users, and some users may not perform the tasks seriously. As a result, the task execution results obtained from users may include inappropriate execution results, which may hinder the promotion of crowdsourcing.

The present application has been made in consideration of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can promote crowdsourcing.

The information processing device according to the present application includes an acquisition unit, a judgment unit, and a decision unit. The acquisition unit acquires execution information, which is information related to past execution of a task by a first user using a first terminal device. The judgment unit judges whether or not the execution by the first user satisfies a predetermined condition based on the execution information acquired by the acquisition unit. The decision unit decides that the first user, whose execution is judged by the judgment unit to satisfy the predetermined condition, is a monitor who will monitor the execution of a task by a second user using a second terminal device.

According to one aspect of the embodiment, it is possible to promote crowdsourcing.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. FIG. 4 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. FIG. 5 is a diagram illustrating an example of a user information table stored in a user information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a task information table stored in the task information storage unit according to the embodiment. FIG. 7 is a diagram illustrating an example of a task execution result table stored in the task execution result storage unit according to the embodiment. FIG. 8 is a flowchart illustrating an example of information processing by the processing unit of the information processing device according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device and the terminal device according to the embodiment.

Below, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. Furthermore, the embodiments can be appropriately combined as long as they do not cause inconsistencies in the processing content. Furthermore, the same parts in the following embodiments will be given the same reference numerals, and duplicated explanations will be omitted.

[1. An example of information processing]
First, an example of information processing according to the embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing an example of information processing according to the embodiment, which is executed by an information processing device 1.

The information processing device 1 shown in FIG. 1 provides various services via a network such as the Internet. The information processing device 1 provides various online services such as a crowdsourcing intermediary service, a web search service, a schedule management service, a route guidance service, a route information service, a video distribution service, a music distribution service, a map information service, and an e-commerce service.

The following mainly describes the crowdsourcing intermediation service among the services provided by the information processing device 1. The crowdsourcing intermediation service is a service that connects the ordering party and the receiving party in crowdsourcing.

Crowdsourcing is a form of outsourcing in which a business operator, researcher, or other party that receives a task outsources the execution of the task to an unspecified number of people via a network such as the Internet, and obtains the results of the task execution. In what follows, the user that places an order in the crowdsourcing intermediation service will be referred to as the "orderer O," and the user that receives the task in the crowdsourcing intermediation service will be referred to as the "user U."

In a crowdsourcing intermediation service, the information processing device 1 receives task information from the client O, including information for causing the user U to execute a task, and requests the user U to execute the task based on the task information, causing the user U to execute the task. The information processing device 1 then receives the results of the task execution by each user U from the terminal device 2 of each user U, and provides the received execution results to the client O.

A task is a task that is executed by a user U using a terminal device 2, such as a questionnaire-type task, annotation, or operation-type task. The terminal device 2 is, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), or a desktop PC, but may also be a wearable device such as VR (Virtual Reality) goggles or a smartwatch.

The task is not limited to the above-mentioned examples, and may be, for example, creating a web page or creating article content such as news. Furthermore, the task may be a task that the user U executes without using the terminal device 2.

A questionnaire-type task is a task that has the user U input answers to each of a number of questions. Examples of questionnaire-type tasks include, but are not limited to, a task that has the user U input answers to questions for a survey of the user U's attitude, a task that has the user U input answers to each of a number of questions that test the user U's knowledge, and a task that includes article content and has the user U input answers to each of a number of questions related to the article content.

Annotation is, for example, the task of tagging data used in machine learning, and is performed, for example, by inputting a tag indicating whether the data contains a specific target, or by selecting a specific target contained in image data. When the terminal device 2 is a smartphone or tablet terminal, the selection of the specific target is performed, for example, by a tap operation on the area of the specific target, an operation of tracing the outer edge of the specific target with a finger or a stylus pen, or an operation of filling in the specific target with a finger or a stylus pen.

In addition, if the terminal device 2 is a notebook PC or a desktop PC, the specific object is selected, for example, by clicking on the area of the specific object, tracing the outer edge of the specific object by moving the cursor, or filling in the specific object by moving the cursor.

An operation-type task is, for example, a task that requires a user interface (UI) operation in content that includes a UI. Operations required in an operation-type task include, for example, a tap operation, a double tap operation, a flick operation, a swipe operation, a pinch operation, etc. when the terminal device 2 is a smartphone or a tablet terminal, and a click operation, a double click operation, a scroll operation, a cursor movement operation, a drag-and-drop operation, etc. when the terminal device 2 is a notebook PC or a desktop PC.

As shown in FIG. 1, the information processing device 1 receives multiple pieces of task information transmitted from the terminal device 3 of the client O (step S1). The multiple pieces of task information received in step S1 may be task information from the same client O, or may be task information from different clients O.

Task information is information for each task, and the information processing device 1 accepts multiple pieces of task information. The task information includes execution information, which includes information for causing the user U to execute the task, and condition information, which indicates the conditions for executing the task.

When the task is a questionnaire-type task, the execution information includes, for example, information indicating the question, a UI in which the user U inputs an answer to the question (hereinafter, the answer UI), and a UI that the user U operates when deciding to send the input answer (hereinafter, the decision UI). The answer UI is, for example, a text box, a check box, a radio button, a combo box, etc., but is not limited to these examples. The decision UI is, for example, a button. When the decision UI is operated, the answer information input by the user U is transmitted from the terminal device 2 to the information processing device 1.

In addition, when the task is an annotation, the execution information includes, for example, the data to be tagged (e.g., image data, document data, sound data, etc.), the UI used to tag the data, the decision UI described above, etc.

When the task is an operational task, the execution information is content including a UI, such as web content or an application program. Web content is, for example, content such as news articles, SNS (Social Networking Service) content, game site content, shopping site content (e.g., a shopping page), and avatars placed in three-dimensional space.

The condition information includes information that specifies the context of user U when performing a task. User U's context is the situation of user U, and includes the situation around user U, the location of user U, user U's state, etc.

The surrounding conditions of user U are the physical environment in which user U is placed, such as the brightness, temperature, humidity, volume and frequency of sound around user U, wind strength, the height and backrest angle of the electric chair in which user U is sitting, and the height of the tabletop of the lift desk being used by user U. In addition, if user U is outdoors, the surrounding conditions of user U also include the weather in the location where user U is located.

The location where user U is located is identified, for example, by the latitude and longitude or the name of the location where user U is currently located. The name of the location where user U is currently located is, for example, a restaurant, park, home, station, hospital, city hall, road, underground passage, train, car, airplane, ship, etc., but is not limited to such examples.

The state of user U includes, for example, the motion state of user U and the emotions of user U. The motion state of user U is, for example, sitting, sleeping, walking, running, standing, etc.

Then, the information processing device 1 requests the user U to execute a task corresponding to the task information acquired in step S1 (step S2). For example, when the user U accesses the information processing device 1 using the terminal device 2, the information processing device 1 requests the user U to execute a task corresponding to the task information acquired in step S1 by sending request information including list information including information showing a list of tasks corresponding to the task information acquired in step S1 to the terminal device 2.

The request information sent by the information processing device 1 includes information indicating an overview of the task corresponding to the task information acquired in step S1, as well as information indicating the context defined by the condition information included in the task information. For example, the request information includes information for displaying the character string "Please perform the task in the restaurant" on the terminal device 2.

When the terminal device 2 receives the request information transmitted from the information processing device 1, it displays the received request information. The request information displayed on the terminal device 2 includes, for example, an acceptance button for each task, and when the acceptance button is selected by the user U by clicking or tapping, the terminal device 2 transmits a task request including information for identifying the task selected by the user U to the information processing device 1 (step S3). In the following, among the multiple users U, the terminal device 2 that has made a task request may be referred to as terminal device 2A, and the user U of terminal device 2A may be referred to as user UA. The terminal device 2A is an example of a second terminal device, and the user UA is an example of a second user.

When the information processing device 1 receives a task request sent from the terminal device 2A, it determines from among multiple monitor candidates a monitor who will monitor the execution of the task by the user UA of the terminal device 2A that sent the task request (step S4).

A monitor candidate is a user U who has been given the status of a monitor in the crowdsourcing intermediation service provided by the information processing device 1. A monitor candidate is, for example, a user U whose past task execution satisfies predetermined conditions, and is determined in advance by the information processing device 1. "Past task execution" includes, for example, at least one of the results of past task execution and an evaluation of the past task execution.

The information processing device 1 acquires execution information, which is information regarding past task execution by a user U using the terminal device 2, and determines, based on the acquired execution information, a user U whose past task execution satisfies a predetermined condition as a monitor candidate. The execution information includes, for example, the results of past task execution by the user U, an evaluation value indicating an evaluation of the past task execution by the user U, etc.

When the task is a questionnaire-type task, the execution result of the task includes, for example, information indicating the answers given by the user U to the questions and information on the operation history of the user U. The operation history information includes, for example, information indicating the timing and speed of the answers given by the user U to the questions.

Furthermore, if the task is an annotation, the execution result of the task includes, for example, information on tags entered by the user U and information on the operation history by the user U. The operation history information includes, for example, information indicating the speed at which the user U tagged, the position of the tag, the range of the tag, the timing of tagging, etc.

In addition, for example, if the task is an operation-type task, the task execution result includes information on the operation history of the user U. The operation history includes, for example, a history of the contents (e.g., operation position, operation timing, operation speed, operation distance, etc.) of various operations (e.g., tap operation, flick operation, swipe operation, pinch operation, click operation, cursor movement operation, drag-and-drop operation, etc.).

The information processing device 1 determines, based on the execution information, for example, for each task or for each task category, a user U whose past task execution satisfies a predetermined condition as a monitor candidate. The task category is, for example, the type of task, the type of context specified by the condition information, the type of terminal device 2, etc. The task type is, for example, a questionnaire-type task, annotation, operation-type task, etc., but these task types may be further subdivided.

For example, in a questionnaire-type task, the task type may be classified according to the number of questions, the category of the content of the questions, or the amount of reward to be awarded.

In addition, the task type may be classified, for example, in annotation, according to the tagging method, according to the category of the tagging target, or according to the time required for tagging.

In addition, the task type may be, for example, a type classified according to the type of operation (e.g., a tap operation, a flick operation, a swipe operation, etc.) in an operation-type task, or a type classified according to the procedure of the operation.

The types of contexts are, for example, the situation around the user U, the location of the user U, the state of the user U, etc., but these context types may be further subdivided. In addition, the types of the terminal device 2 are, for example, a smartphone, a tablet, a PC, etc.

The above-mentioned "predetermined conditions" that are the conditions for determining monitor candidates are, for example, conditions related to one or more of the evaluation value indicating the evaluation by the monitor, the number of times or frequency of execution of the task, etc.

For example, a "predetermined condition" is a condition that the average evaluation value indicating the evaluation by the monitor is equal to or greater than a threshold, or a condition that the number of times or frequency of execution of a task is equal to or greater than a threshold.

The "predetermined condition" may also be a condition that the result of a weighted sum of two or more of the average evaluation value indicating the evaluation by the monitor and the number of times or frequency of execution of the task is equal to or greater than a threshold value.

The evaluation value indicating the monitor's evaluation is a value indicating the monitor's evaluation of the execution of a task when the user U executes the task to be monitored, and is, for example, an evaluation of two or more levels. The monitor can evaluate the execution of the task on a five-level scale by selecting one option from five options, for example, "very good," "good," "average," "poor," and "very poor."

In step S4, the information processing device 1 selects one or more monitors from among the multiple monitor candidates, either randomly or based on a predetermined rule. The "predetermined rule" is, for example, a first condition in which a monitor candidate with a higher average rating (evaluation value) by a supervisor (described later) is given priority in being selected as a monitor.

The "predetermined rule" may also be a second condition such that a candidate for a supervisor who has performed a task more frequently or more frequently is given priority in being selected as a supervisor, or a third condition such that a candidate for a supervisor who has a higher weighted sum of two or more of the average evaluation (evaluation value) by the supervisor and the number or frequency of performing the task is given priority in being selected as a supervisor.

Note that "preferential" means that there is a higher probability of being selected as a supervisor. For example, if the first condition is a "predetermined rule," a supervisor candidate with a relatively high average supervisor evaluation (evaluation value) is more likely to be selected as a supervisor than a supervisor candidate with a relatively low average supervisor evaluation (evaluation value).

Next, when the information processing device 1 receives a task request sent from the terminal device 2A, it sends the execution information included in the task information to the terminal device 2A of the user UA in order to have the user UA of the terminal device 2A that sent the task request execute the task (step S5).

When the terminal device 2A of the user UA, who is the person to be monitored, receives the execution information transmitted from the information processing device 1, it performs display and other operations to allow the user UA to execute a task based on the execution information. This allows the user UA, who is the person to be monitored, to execute the task using the terminal device 2A.

The information processing device 1 also requests the user U, who is the determined monitor, to perform a monitoring task of monitoring the execution of a task by the user UA, who is the person to be monitored (step S6). In the following, of the multiple users U, the user U who is requested to perform a monitoring task of monitoring the execution of a task by the user UA, who is the person to be monitored, may be referred to as user UB, and the terminal device 2 of user UB may be referred to as terminal device 2B. User UB is an example of a first user whose execution of a task is determined to satisfy a predetermined condition, and terminal device 2B is an example of a first terminal device.

Tasks that are subject to monitoring by the monitor, user UB, are tasks that have been previously performed by user UB or tasks that fall within a category of tasks that have been previously performed by user UB, but are not limited to such examples.

The information processing device 1 requests a monitoring task of monitoring the execution of a task by the user UA who is the person to be monitored, for example, by sending monitoring request information to the terminal device 2B of the user UB who is the monitor. The monitoring request information includes, for example, information on the person to be monitored, information indicating the content of the task to be monitored, address information from which the information being executed output from the terminal device 2A of the person to be monitored is obtained, address information from which the information on the person to be monitored is obtained, and information for inputting an evaluation of the execution of the task by the person to be monitored.

When the terminal device 2B of the user UB who is the monitor receives the monitoring request information sent from the information processing device 1, it displays information indicating the person to be monitored and the contents of the task to be monitored based on the monitoring request information.

The terminal device 2A of the person to be monitored also transmits the in-progress information to the information processing device 1 (step S7). In step S7, while the user UA, who is the person to be monitored, is executing the task, the terminal device 2A repeatedly transmits the in-progress information, which is information regarding the execution of the task by the user UA, to the information processing device 1.

The ongoing information includes, for example, information of the display screen on which the user UA is executing a task, information indicating the execution content of the task being executed by the user UA, and detection information which is information detected by a sensor provided in the terminal device 2A, but is not limited to such examples.

The terminal device 2B accesses the information processing device 1 based on the address information included in the monitoring request information, acquires the running information from the information processing device 1, and displays the acquired running information. The user UB, who is the monitor, can monitor the execution of tasks by the user UA, who is the person to be monitored, by monitoring the running information displayed on the terminal device 2B of the user UB.

The information indicating the execution content of a task being performed by the user UA, who is the monitored person, is, for example, information indicating the answers to the questions by the user UA if the task is a questionnaire-type task, or information on tags entered by the user UA if the task is an annotation.

After monitoring the execution of a task by user UA, who is the monitored person, user UB inputs an evaluation of user UA's execution of the task into terminal device 2B. The monitor inputs a five-level evaluation of the execution of the task into monitor's terminal device 2B, for example, by selecting one option from five options displayed on monitor's terminal device 2B: "Very good," "Good," "Average," "Bad," and "Very bad."

Next, the terminal device 2B of the user UB who is the monitor transmits evaluation information, which is information indicating the evaluation entered by the monitor, to the information processing device 1 (step S8). The evaluation information includes an evaluation value indicating an evaluation of the performance of the task by the monitored person. The evaluation value is, for example, "5" if "very good" is selected, "4" if "good" is selected, "3" if "average" is selected, "2" if "bad" is selected, and "1" if "very bad" is selected. A higher evaluation value indicates a higher evaluation, but a lower evaluation value may be a higher evaluation.

The information processing device 1 grants rewards to the user UA, who is the subject of monitoring, and the user UB, who is the monitor, based on the task execution results and the monitor's evaluation information, etc., contained in the multiple pieces of in-progress information transmitted from the terminal device 2A during the period from the start to the end of the task execution by the user UA, who is the subject of monitoring (step S9). Note that when the terminal device 2A transmits the task execution results of user UA to the information processing device 1 when the execution of the task by user UA is completed, rewards can be granted to the user UA, who is the subject of monitoring, and the user UB, who is the monitor, based on the execution results and the monitor's evaluation information, etc.

The reward given to the user U may be, for example, electronic money, points, or various benefits. Points are a value that can be used, for example, to purchase products or use services on online sites. Benefits may be, for example, coupons, gift certificates, service vouchers, etc., but are not limited to these examples.

The information processing device 1 rewards the user U, for example, by adding an amount of electronic money corresponding to the task or points corresponding to the task to the user U's account or wallet in the online service. The information processing device 1 also rewards the user U, for example, by transmitting information indicating the benefit to the terminal device 2 so that the information can be displayed on the terminal device 2. The reward may also be cash, in which case the reward is awarded, for example, by depositing the cash via a bank account.

The information processing device 1 determines the reward to be given to the monitored person based on the evaluation information, which is an example of the monitoring result by the monitor. For example, the information processing device 1 gives a higher reward to the monitored person the higher the evaluation by the monitor. For example, in the case of electronic money, the higher the amount, the higher the reward, and in the case of points or benefits, the higher the amount when converted into cash, the higher the reward.

If the information processing device 1 cannot obtain evaluation information, which is an example of the monitoring results by the monitor, it does not provide a reward to the monitor. The information processing device 1 can also determine the reward to be provided to the monitor based on the monitoring results by the monitor.

For example, the information processing device 1 can determine the monitoring accuracy of the monitor based on the monitor's past monitoring results, and the higher the determined monitoring accuracy, the higher the reward that can be given to the person being monitored. For example, the information processing device 1 can give a higher reward to the person being monitored the closer the average of the monitor's evaluation values is to the average or median of the evaluation values of all monitors. Note that the average value may be the average value for each task category, or the average value for each task.

In addition, the information processing device 1 can notify the monitored person that the monitor is monitoring before or during the performance of a task by the monitored person. For example, the information processing device 1 notifies the monitored person that the monitor is monitoring by sending notification information indicating that the performance of a task by the monitored person will be monitored by the monitor to the monitored person's terminal device 2A.

The information processing device 1 can also determine, from among multiple monitor candidates, a user U who monitors the monitoring status of the monitor, as the supervisor. For example, the information processing device 1 can determine, as the supervisor, a monitor candidate whose monitoring is judged to be appropriate at a rate equal to or higher than a threshold.

The information processing device 1 can also determine a supervisor from among multiple monitor candidates based on information indicating the monitored person's evaluation of the monitoring by the monitor. For example, the information processing device 1 can display on the monitored person's terminal device 2B a moving image obtained by an image sensor provided in the monitor's terminal device 2B while the monitored person is performing a task.

The monitored person checks the video image of the monitor displayed on the monitored person's terminal device 2A and inputs their evaluation of the monitor's monitoring into the monitored person's terminal device 2A. The evaluation of the monitor's monitoring is on a five-point scale, similar to the evaluation of the monitored person's execution of the task, but may be on a scale other than five.

The information processing device 1 can determine a supervisor from among multiple monitor candidates based on the evaluation input for the monitored person. For example, the information processing device 1 can determine as a supervisor a monitor candidate whose average evaluation value indicating the evaluation of monitoring as a monitor is equal to or greater than a threshold value from among the multiple monitor candidates. The information processing device 1 can determine multiple supervisor candidates in advance from among the multiple monitor candidates based on the above-mentioned criteria for determining a supervisor, and determine a supervisor from among these multiple supervisor candidates.

The information processing device 1 can also determine one or more sensors from among the multiple sensors provided on the terminal device 2A of the monitored person to be used by the monitor for monitoring, based on the evaluation of the monitor by each monitored person. For example, the lower the average evaluation of the monitor by each monitored person, the more the information processing device 1 can increase the number and types of sensors from among the multiple sensors to be used by the monitor for monitoring.

The information processing device 1 has, for example, sensor selection information that associates one or more sensors that the monitor will use for monitoring with each range of average values of the evaluations of the monitor by each monitored person, and can also determine one or more sensors from among multiple sensors that the monitor will use for monitoring based on such sensor selection information.

In this way, the information processing device 1 determines whether or not the past execution of a task by the user U satisfies a predetermined condition based on the execution information, which is information related to the past execution of a task by the user U using the terminal device 2. Then, the information processing device 1 determines the user U whose past execution of a task by the user U is determined to satisfy the predetermined condition as a monitor who will monitor the execution of a task by the user U, who is the monitored person, using the terminal device 2.

This allows the information processing device 1 to provide the ordering party with the monitoring results of task execution in addition to the execution results, and to exclude execution results that have a low evaluation of task execution, thereby promoting crowdsourcing.

The following provides a detailed explanation of the configuration of an information processing system that includes the information processing device 1 and terminal devices 2 and 3 that perform such processing. Note that the following does not include an explanation of the processing related to the e-commerce services provided by the information processing device 1 other than the crowdsourcing intermediation service.

2. Configuration of Information Processing System
2 is a diagram showing an example of a configuration of an information processing system according to an embodiment. As shown in FIG. 2, the information processing system 100 according to the embodiment includes an information processing device 1, a plurality of terminal devices 2, and a plurality of terminal devices 3.

The information processing device 1 provides a crowdsourcing intermediation service. The information processing device 1 can also provide various online services such as a web search service, a schedule management service, a route guidance service, a route information service, a video distribution service, a music distribution service, a map information service, and an e-commerce service.

Each of the multiple terminal devices 2 is used by a different user U. Each of the multiple terminal devices 3 is used, for example, by a different orderer O. Each of the terminal devices 2 and 3 is, for example, a smartphone, a tablet terminal, a notebook PC, a desktop PC, etc., but may also be a wearable device such as a smart watch, VR goggles, etc.

The information processing device 1, the terminal device 2, and the terminal device 3 are connected to each other via a network N so that they can communicate with each other by wire or wirelessly. Note that the information processing system 100 shown in FIG. 2 may include multiple information processing devices 1. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Each of the terminal devices 2 and 3 can connect to the network N via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: 5th generation mobile communication system), or via short-range wireless communication such as Bluetooth (registered trademark) or wireless LAN, and communicate with the information processing device 1.

[3. Terminal device 2]
Fig. 3 is a diagram showing an example of the configuration of the terminal device 2 according to the embodiment. As shown in Fig. 3, the terminal device 2 according to the embodiment includes a communication unit 10, a display unit 11, an operation unit 12, a sensor group 13, a storage unit 14, and a processing unit 15.

3.1. Communication unit 10
The communication unit 10 is realized by, for example, a network interface card (NIC), etc. The communication unit 10 is connected to a network N by wire or wirelessly, and transmits and receives information to and from the information processing device 1 via the network N.

[3.2. Display unit 11
The display unit 11 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence) display.

[3.3. Operation unit 12
The operation unit 12 includes, for example, a keyboard including keys for inputting letters, numbers, and spaces, an enter key, arrow keys, etc., a mouse, a power button, etc. In the case where the display unit 11 is a touch panel compatible display, The operation unit 12 includes a touch panel.

3.4. Sensor Group 13
The sensor group 13 includes, for example, a temperature sensor, a humidity sensor, an illuminance sensor, a positioning sensor, a microphone, an acceleration sensor, a gyro sensor, a geomagnetic sensor, and an image sensor. The positioning sensor is a position sensor that detects the position of the terminal device 2.

The temperature sensor is a sensor that detects the temperature around the terminal device 2. The humidity sensor is a sensor that detects the humidity around the terminal device 2. The illuminance sensor is a sensor that detects the illuminance around the terminal device 2. The microphone is a sensor that detects the sound around the terminal device 2.

The acceleration sensor is a sensor that detects the acceleration of the terminal device 2. The gyro sensor is a sensor that detects the attitude, such as the tilt and rotation, of the terminal device 2. The geomagnetic sensor is a sensor that detects geomagnetism. The image sensor is a sensor that captures an image of the surroundings of the terminal device 2.

[3.5. Storage unit 14
The storage unit 14 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk.

The memory unit 14 stores, for example, information transmitted from the information processing device 1 and acquired by the processing unit 15 via the network N and the communication unit 10, and detection information, which is information detected by the sensor group 13.

3.6. Processing Unit 15
The processing unit 15 is a controller, and is realized, for example, by a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) by executing various programs stored in a storage device inside the terminal device 2 using the RAM as a working area.

The processing unit 15 may be realized in part or in whole by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The processing unit 15 includes an information acquisition unit 16, a display processing unit 17, and an information output unit 18.

[3.6.1. Information Acquisition Unit 16
The information acquisition unit 16 acquires various pieces of information transmitted from the information processing device 1 and received by the communication unit 10 via the network N. The information transmitted from the information processing device 1 includes, for example, the above-mentioned request information, The information includes execution information, monitoring request information, reward information, active information, monitor information, and content. The information acquisition unit 16 acquires detection information from the sensor group 13, which is information detected by the sensor group 13. do.

In addition, the information acquisition unit 16 acquires various pieces of information input or selected by the user U operating the operation unit 12. The information input or selected by the user U operating the operation unit 12 includes, for example, operation information for the execution of a task by the user U as a monitored person, evaluation information that is information indicating the monitor's evaluation of the monitored person's execution of a task, evaluation information that is information indicating the monitored person's evaluation of the monitor's monitoring, etc.

As a monitor, the user U can input a five-level evaluation of the performance of a task by the monitored person by using the operation unit 12 to select one of five options displayed on the display unit 11: "Very good," "Good," "Average," "Bad," and "Very bad."

In addition, the user U, as a person to be monitored, can input a five-level evaluation of the monitoring of the monitor by using the operation unit 12 to select one of five options displayed on the display unit 11, for example, "very good," "good," "average," "bad," and "very bad."

The monitor's evaluation of the monitored person's execution of a task and the monitored person's evaluation of the monitor's monitoring are not limited to a five-point scale, but may be four or less or six or more.

[3.6.2. Display Processing Unit 17]
The display processing unit 17 causes the display unit 11 to display the information acquired by the information acquisition unit 16. For example, the display processing unit 17 causes the display unit 11 to display the information acquired by the information acquisition unit 16.

For example, the display processing unit 17 causes the display unit 11 to display the request information, execution information, reward information, in-progress information, monitor information, and content acquired by the information acquisition unit 16. In-progress information includes, for example, information on the display screen on which the monitored person is performing a task, information indicating the execution content of the task being performed by the monitored person, and detection information which is information detected by the sensors of the sensor group 13 provided on the monitored person's terminal device 2, but is not limited to such examples.

The information indicating the execution content of the task being performed by the monitored person may be, for example, information indicating the answers to the questions by the monitored person if the task is a questionnaire-type task, information on tags entered by the monitored person if the task is an annotation, or information on the operations performed by the monitored person if the task is an operation-type task.

The display processing unit 17 displays the execution information on the display unit 11, allowing the monitor to evaluate the execution of the task by the monitored person based on, for example, the direction of the monitored person's face and the percentage of the monitored person's gaze directed toward the terminal device 2 while the monitored person is executing the task.

The execution information also includes the detection information described above, and the monitor can determine, based on the detection information displayed on the display unit 11, whether the monitored person is executing a task in a context that matches the context specified by the condition information included in the task information of the task being executed by the monitored person.

In addition, the display processing unit 17 displays the monitor information on the display unit 11, allowing the monitored person and the supervisor to evaluate the monitor's monitoring of the task execution based on the direction of the monitor's face and the percentage of the monitored person's gaze directed toward the terminal device 2 while the task is being performed.

In addition, based on the monitoring request information acquired by the information acquisition unit 16, the display processing unit 17 displays information about the person to be monitored, information indicating the content of the task to be monitored, and information for inputting an evaluation of the performance of the task by the person to be monitored.

[3.6.3. Information output unit 18]
The information output unit 18 transmits, for example, operation information corresponding to an operation on the operation unit 12 by the user U to the information processing device 1 via the communication unit 10. In addition, the information output unit 18 transmits detection information acquired by the information acquisition unit 16 to the information processing device 1 via the communication unit 10.

In addition, assume that while the request information is displayed on the display unit 11, the user U operates the operation unit 12 to select a task that the user U wishes to execute. In this case, the information output unit 18 transmits a task request including information for identifying the task that the user U wishes to execute to the information processing device 1 via the communication unit 10.

For example, if the proposed information includes multiple tasks that the user U can select, the proposed information displayed on the display unit 11 includes an acceptance button for each task. When the user U selects an acceptance button by clicking or tapping, the terminal device 2 transmits a task request to the information processing device 1, the task request including information for identifying the task corresponding to the selected acceptance button.

The information output unit 18 also transmits the in-progress information to the information processing device 1 via the communication unit 10. The in-progress information is, for example, information on a display screen on which the user U is performing a task, information indicating the execution content of a task being performed by the user U, detection information that is information detected by a sensor provided in the terminal device 2, and the like, but is not limited to such examples.

In addition, when the execution of the task by the user U is completed, the information output unit 18 transmits the result of the execution of the task by the user U to the information processing device 1 via the communication unit 10.

In addition, the information output unit 18 transmits various pieces of information acquired by the information acquisition unit 16 to the information processing device 1 via the communication unit 10. For example, the information output unit 18 transmits evaluation information acquired by the information acquisition unit 16 to the information processing device 1 via the communication unit 10.

4. Configuration of information processing device 1
4 is a diagram showing an example of the configuration of the information processing device 1 according to the embodiment. As shown in FIG. 4, the information processing device 1 includes a communication unit 20, a storage unit 21, and a processing unit 22.

4.1. Communication unit 20
The communication unit 20 is realized by, for example, a NIC. The communication unit 20 is connected to a network N by wire or wirelessly, and transmits and receives information to and from various other devices. For example, the communication unit 20 transmits and receives information to and from the terminal devices 2 and 3 via the network N.

[4.2. Storage unit 21
The storage unit 21 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 21 includes a user information storage unit 30, a task information storage unit 31, and , and a task execution result storage unit 32 .

[4.2.1. User information storage unit 30
The user information storage unit 30 stores various types of information related to the user U. Fig. 5 is a diagram showing an example of a user information table stored in the user information storage unit 30 according to the embodiment.

In the example shown in FIG. 5, the user information table stored in the user information storage unit 30 includes information on items such as "User ID (Identifier)," "Attribute Information," "History Information," "Context Information," and "Settings Information."

"User ID" is an identifier that identifies user U, and is information assigned to each user U. "Attribute information" is attribute information related to the attributes of user U that are associated with the "user ID." The attributes of user U are, for example, demographic attributes, psychographic attributes, etc. Demographic attributes are demographic attributes, and include multiple attribute items such as age, gender, occupation, place of residence, annual income, and family composition.

Psychographic attributes are psychological attributes and include, for example, multiple attribute items related to lifestyle, values, interests, etc. For example, each of the multiple attribute items in the psychographic attributes is an object of interest to the user U, such as cars, clothes, travel, games, camping, motorcycles, trains, home appliances, or computers.

"History information" is history information that includes information on the behavioral history of user U in online services that is associated with the "user ID." Information on the behavioral history of user U in online services includes, for example, search history information, browsing history information, and transaction history information in online services for user U.

User U's search history information includes, for example, information on the search history by user U in web search services. User U's browsing history information includes, for example, information on the content browsing history by user U in online services. User U's transaction history information includes, for example, information on the product transaction history by user U in online services.

"Context information" is information on the current or future context of user U associated with the "user ID." Such context information includes the context of user U identified based on the detection information transmitted from the terminal device 2, or historical information of the context of user U estimated by the processing unit 22, etc.

The context of user U is the situation of user U, and includes, for example, the situation around user U, the movement state of user U, the posture of user U, the emotions of user U, the current location of user U, the physical environment in which user U is located, etc.

"Settings information" is the settings information of user U associated with the "user ID", for example, schedule information, e-mail information, etc. set by user U and linked to user U's account.

[4.2.2. Task information storage unit 31]
The task information storage unit 31 stores task information provided by each client O. Fig. 6 is a diagram showing an example of a task information table stored in the task information storage unit 31 according to the embodiment.

In the example shown in FIG. 6, the task information table stored in the task information storage unit 31 includes information on items such as "task ID," "content information," "execution information," "condition information," and "required number of executions."

"Task ID" is an identifier that identifies a task, and is information that is assigned to each task. "Content information" is information that indicates the content of the task associated with the "task ID", and includes, for example, the type of task, an overview of the task, and information on the context when the task is executed. Condition information may be included in the content information. "Execution information" is information that includes information for causing user U to execute the task associated with the "task ID", and is the execution information described above.

"Condition information" is information indicating the conditions for executing a task associated with a "task ID", and is the condition information described above. "Required number of executions" is information indicating the required number of executions of a task associated with a "task ID", and is information set by the client O.

4.2.3. Task execution result storage unit 32
The task execution result storage unit 32 stores the results of the tasks executed by the user U. Fig. 7 is a diagram showing an example of a task execution result table stored in the task execution result storage unit 32 according to the embodiment.

In the example shown in FIG. 7, the task execution result table stored in the task execution result storage unit 32 includes information on items such as "Execution ID," "Task ID," "User ID," "Execution result," "Detection information," "Context information," and "Evaluation information."

"Execution ID" is an identifier that identifies the execution result of a task, and is information that is assigned to each execution result of a task. "Task ID" is an identifier that identifies the task of the execution result that corresponds to the "Execution ID", and is the same as the task ID shown in Figure 6.

"User ID" is an identifier that identifies the user U who executed the task whose execution result corresponds to "Execution ID", and is the same as the user ID shown in Figure 5. "Execution result" is the execution result corresponding to "Execution ID".

"Detection information" is detection information at the time of task execution, is information detected by one or more sensors included in the sensor group 13, and is information at the time when the task is executed by the user U. "Context information" is information on the context of the user U when the user U executed the task of the execution result corresponding to the "execution ID".

"Evaluation information" is information that indicates the monitor's evaluation of the execution by user U of the task that is the execution result corresponding to the "Execution ID". The task execution result table also includes information on the context of user U when user U executed the task that is the execution result corresponding to the "Execution ID".

The execution information described above is, for example, information including "execution results" and "evaluation information," but may also include at least one of "detection information" and "context information."

4.3. Processing section 22
The processing unit 22 is a controller, and is realized by a processor such as a CPU or an MPU, which executes various programs (corresponding to an example of an information processing program) stored in a storage device inside the information processing device 1 using a RAM or the like as a working area. The processing unit 22 may be realized in part or in whole by an integrated circuit such as an ASIC, an FPGA, or a GPGPU.

As shown in FIG. 4, the processing unit 22 has an acquisition unit 40, a reception unit 41, a judgment unit 42, a decision unit 43, a request unit 44, a task unit 45, a notification unit 46, and a reward granting unit 47, and realizes or executes the functions and actions of the information processing described below. Note that the internal configuration of the processing unit 22 is not limited to the configuration shown in FIG. 4, and may be other configurations as long as they perform the information processing described below.

[4.3.1. Acquisition unit 40
The acquisition unit 40 acquires various information from external information processing devices and terminal devices 2 and 3 via the communication unit 20 , and stores the acquired information in the storage unit 21 .

For example, the acquisition unit 40 acquires user information, which is information about the user U, from an external information processing device or terminal device 2, etc., via the communication unit 20, and adds the acquired user information to a user information table in the user information storage unit 30.

The acquisition unit 40 also acquires the execution results contained in the execution information transmitted from the terminal device 2 via the network N and the communication unit 10, and adds the acquired execution results to a task execution result table stored in the task execution result storage unit 32 as part of the execution information.

In addition, when the execution of a task by user U is completed and the execution result of the task by user U is transmitted from the terminal device 2 to the information processing device 1, the acquisition unit 40 can acquire the execution result transmitted when the execution of the task is completed, instead of or in addition to the execution result included in the in-execution information, and add the acquired execution result to the task execution result table stored in the task execution result storage unit 32.

The acquisition unit 40 also acquires the running information transmitted from the terminal device 2 via the network N and the communication unit 10. The acquisition unit 40 can add the acquired running information to a task execution result table stored in the task execution result storage unit 32.

The acquisition unit 40 also acquires the detection information at the time of task execution transmitted from the terminal device 2 via the network N and the communication unit 10, and adds the acquired detection information at the time of task execution to the task execution result table stored in the task execution result storage unit 32.

The acquisition unit 40 can repeatedly acquire the in-progress information and the detection information while the user U is performing a task. The detection information includes information detected by one or more sensors included in the sensor group 13 of the terminal device 2, and information detected while the user U is performing a task.

The acquisition unit 40 also acquires evaluation information transmitted from the monitor's terminal device 2 and the monitored person's terminal device 2 via the network N and the communication unit 10, and adds the acquired evaluation information at the time of task execution to the task execution result table stored in the task execution result storage unit 32. The evaluation information transmitted from the monitor's terminal device 2 includes an evaluation value indicating the monitor's evaluation of the monitored person's execution of the task, and is evaluation information by the monitor. The evaluation information transmitted from the monitored person's terminal device 2 includes an evaluation value indicating the monitored person's evaluation of the monitor's monitoring of the monitored person's execution of the task, and is evaluation information by the monitored person.

The acquisition unit 40 also acquires various types of information from the storage unit 21. For example, the acquisition unit 40 acquires user information, which is information about the user U, from the user information storage unit 30 or the like. The user information acquired by the acquisition unit 40 includes, for example, a part or all of at least one of the above-mentioned attribute information, history information, and setting information.

The acquisition unit 40 also acquires task information, which is information about a task to be executed by the user U, from the task information storage unit 31 or the like. The task information acquired by the acquisition unit 40 includes, for example, a part or all of at least one of the above-mentioned information: content information, execution information, condition information, and information on the number of tasks required for execution.

The acquisition unit 40 also acquires information related to the execution results of the task from the task execution result table in the task execution result storage unit 32. The information related to the execution results acquired by the acquisition unit 40 includes, for example, part or all of at least one of the above-mentioned task ID, user ID, execution result, detection information, context information, and evaluation information. The execution result and evaluation information are examples of execution information, which is information related to past execution of a task by the first user using the first terminal device. Note that the execution information may further include at least one of the detection information and context information.

4.3.2. Reception unit 41
The reception unit 41 receives various requests and information from external information processing devices and the terminal devices 2 and 3 via the communication unit 20 .

For example, the reception unit 41 receives order information for each task sent from the terminal device 3. The order information includes the above-mentioned task information and information on the required number of executions. The task information includes the above-mentioned execution information, condition information, and content information.

As described above, the execution information includes information for causing the user U to execute a task. As described above, the condition information includes information that specifies the context of the user U when executing a task. The context of the user U is the situation of the user U, and includes the situation around the user U. The content information includes information indicating the content of the task (e.g., the type of task, an overview of the task, information on the context when the task is executed, etc.). The condition information may be included in the content information. The reception unit 41 adds the received order information to the task information table of the task information storage unit 31.

The reception unit 41 also receives a task request sent from the terminal device 2. The task request includes, for example, a user ID and a task ID. Such a task request is sent from the terminal device 2 to the information processing device 1 when the user U operates the terminal device 2 to select a task that he or she wishes to execute.

[4.3.3. Determination unit 42
The determination unit 42 determines whether or not the execution of a past task by the user U satisfies a predetermined condition based on the execution information acquired by the acquisition unit 40. The execution information may include, for example, the results of the execution of the task by the user U in the past and the execution of the task by the user U in the past. The evaluation value indicating the evaluation for the item is included in at least one of the items.

The predetermined conditions are, for example, conditions for each task or conditions for each task category. Task categories are, for example, the type of task, the type of context specified in the condition information, the type of terminal device 2, etc. Task types are, for example, questionnaire-type tasks, annotations, operation-type tasks, etc., but these task types may also be further subdivided.

For example, in a questionnaire-type task, the task type may be classified according to the number of questions, the category of the content of the questions, or the amount of reward to be awarded.

In addition, the task type may be classified, for example, in annotation, according to the tagging method, according to the category of the tagging target, or according to the time required for tagging.

The task type may be classified according to the type of operation (e.g., tap operation, flick operation, swipe operation, etc.) in an operation-type task, or according to the procedure of the operation. The task type may be classified according to the length of the expected time required to execute the task, or according to the type of terminal device 2 on which the task is executed.

The types of contexts are, for example, the situation around the user U, the location of the user U, the state of the user U, etc., but these context types may be further subdivided. In addition, the types of the terminal device 2 are, for example, a smartphone, a tablet, a PC, etc.

The above-mentioned "predetermined conditions" that are the conditions for determining monitor candidates are, for example, conditions related to one or more of an evaluation value indicating an evaluation by a monitor, and the number of times or frequency of execution of a task. The determination unit 42 can determine the number of times or frequency of execution, etc., based on the execution information acquired by the acquisition unit 40.

For example, a "predetermined condition" is a condition that the average evaluation value indicating the evaluation by the monitor is equal to or greater than a threshold, or a condition that the number of times or frequency of execution of a task is equal to or greater than a threshold.

The "predetermined condition" may also be a condition that the result of weighted addition of two or more of the average evaluation value indicating the evaluation by the monitor and the number of times or frequency of execution of the task is equal to or greater than a threshold value. The determination unit 42 can perform a calculation of weighted addition of two or more of the average evaluation value indicating the evaluation by the monitor and the number of times or frequency of execution of the task based on the execution information acquired by the acquisition unit 40.

The evaluation value indicating the monitor's evaluation is a value indicating the monitor's evaluation of the execution of a task when the user U executes the task to be monitored, and is, for example, an evaluation of two or more levels. The monitor can evaluate the execution of the task on a five-level scale by selecting one option from five options, for example, "very good," "good," "average," "poor," and "very poor."

4.3.4. Determination unit 43
The determination unit 43 determines the user U, whose execution of the task has been determined by the determination unit 42 to satisfy a predetermined condition, as a monitor who will monitor the execution of the task by the monitored person using the terminal device 2.

The determination unit 43, for example, determines one or more monitors from among multiple monitor candidates randomly or based on predetermined rules. The monitor candidates are users U whose task execution has been determined by the determination unit 42 to satisfy predetermined conditions.

The "predetermined rule" is, for example, a first condition such that a supervisor candidate with a higher average evaluation (evaluation value) by the supervisor is given priority in being selected as a supervisor, or a second condition such that a supervisor candidate with a higher number or frequency of task execution is given priority in being selected as a supervisor. Furthermore, the "predetermined rule" may be a third condition such that a candidate with a higher weighted sum of two or more of the number or frequency of task execution is given priority in being selected as a supervisor.

Note that "preferential" means that there is a higher probability of being selected as a supervisor. For example, if the first condition is a "predetermined rule," a supervisor candidate with a relatively high average supervisor evaluation (evaluation value) is more likely to be selected as a supervisor than a supervisor candidate with a relatively low average supervisor evaluation (evaluation value).

The determination unit 43 also determines some of the multiple monitor candidates as monitors, and determines the remaining monitor candidates as supervisors who monitor the status of monitoring by the monitors. The monitor candidates are an example of a first user who is determined to satisfy a predetermined condition.

The determination unit 43 can determine as a supervisor a monitor candidate for whom the proportion of monitoring judged to be appropriate is equal to or greater than a threshold. For example, the determination unit 43 determines a supervisor from among multiple monitor candidates based on information indicating the monitored person's evaluation of the monitoring by the monitor.

The determination unit 43 can also determine in advance multiple supervisor candidates from among multiple supervisor candidates based on the above-mentioned supervisor determination criteria. In this case, the determination unit 43 determines a supervisor who will monitor the monitoring status of the supervisor from among the multiple determined supervisor candidates. Note that the supervisor candidates may be determined by the determination unit 42 based on determination criteria similar to the above-mentioned supervisor determination criteria.

Tasks that are subject to monitoring by the monitor are, for example, tasks that have been performed by the monitor in the past or tasks that fall within a category of tasks that have been performed by the monitor in the past, but are not limited to such examples.

The determination unit 43 also determines, based on the monitored person's evaluation of the monitor, one or more sensors from among the multiple sensors provided on the monitored person's terminal device 2 that the monitor will use to monitor the monitored person's execution of the task.

For example, the determination unit 43 can increase the number and types of sensors that the monitor uses for monitoring among the multiple sensors as the average evaluation of the monitor by each monitored person is lower. In addition, the determination unit 43 can have sensor selection information that associates one or more sensors that the monitor uses for monitoring for each range of the average evaluation of the monitor by each monitored person, and can determine one or more sensors that the monitor uses for monitoring among the multiple sensors based on the sensor selection information.

The determination unit 43 also determines, from among the multiple monitor candidates, a user U who monitors the monitoring status of the monitor, as the supervisor. For example, the determination unit 43 determines, as the supervisor, a monitor candidate whose proportion of monitoring judged to be appropriate is equal to or greater than a threshold value.

The determination unit 43 can also determine a supervisor from among multiple monitor candidates based on information indicating the monitored person's evaluation of the monitoring by the monitor. For example, the determination unit 43 can cause a video image obtained by an image sensor provided in the monitor's terminal device 2 to be displayed on the monitored person's terminal device 2 while the monitored person is performing a task.

The monitored person checks the video image of the monitor displayed on the monitored person's terminal device 2, and inputs their evaluation of the monitor's monitoring into the monitored person's terminal device 2. The evaluation of the monitor's monitoring is on a five-point scale, similar to the evaluation of the monitored person's execution of the task, but may be on a scale other than five.

The determination unit 43 can determine a supervisor from among multiple monitor candidates based on the evaluation input for the monitored person. For example, the determination unit 43 can determine, as a supervisor, a monitor candidate from among multiple monitor candidates whose average evaluation value indicating the evaluation of monitoring as a monitor is equal to or greater than a threshold value.

[4.3.5. Request Unit 44]
The request unit 44 requests the monitor determined by the determination unit 43 to monitor the monitored person. The tasks to be monitored by the monitor are tasks previously performed by the monitor or tasks included in a category of tasks previously performed by the monitor, but are not limited to such examples.

The request unit 44 requests monitoring work to monitor the execution of a task by the monitored person, for example, by sending monitoring request information to the monitor's terminal device 2. The monitoring request information includes, for example, information on the monitored person, information indicating the content of the task to be monitored, address information from which the ongoing information output from the monitored person's terminal device 2 is obtained, address information from which information on the monitored person is obtained, and information for inputting an evaluation of the monitored person's execution of the task.

[4.3.6. Task section 45]
The task unit 45 causes the user U to execute one or more tasks based on the task information. The task unit 45 causes the user U to execute the tasks by transmitting execution information included in the task information to the terminal device 2 of the user U.

For example, when a task request is accepted by the accepting unit 41, the task unit 45 causes the user U to execute the task by transmitting the execution information included in the task information of the task specified in the task request to the terminal device 2 of the user U.

[4.3.7. Notification section 46
The notification unit 46 transmits the running information to the monitor's terminal device 2 via the communication unit 20 and the network N, thereby notifying the monitor of the running information.

The notification unit 46 also notifies the monitored person that the task execution status is being monitored by the monitor by transmitting notification information indicating that the monitored person's execution of the task is being monitored by the monitor to the monitored person's terminal device 2 via the communication unit 20 and the network N.

The notification unit 46 also transmits monitor information including information (e.g., information on a video image of the monitor) obtained by one or more sensors (e.g., image sensors) of the sensor group 13 provided on the monitor's terminal device 2 to the monitor's terminal device 2 via the communication unit 20 and the network N while the monitor is performing a task. This allows the notification unit 46 to display the monitor information on the monitor's terminal device 2 while the monitor's terminal device 2 is performing a task.

The notification unit 46 also notifies the monitor that the monitoring status of the monitor is being monitored by the supervisor by transmitting notification information indicating that the monitor's monitoring status of the monitored person's task execution by the supervisor is being monitored by the supervisor to the monitor's terminal device 2 via the communication unit 20 and the network N.

The notification unit 46 also transmits monitor information including information (e.g., information on a video image of the monitor) obtained by one or more sensors (e.g., image sensors) of the sensor group 13 provided on the monitor's terminal device 2 while the monitored person is performing a task to the supervisor's terminal device 2 via the communication unit 20 and the network N. This allows the notification unit 46 to display the monitor information on the supervisor's terminal device 2 while the monitor's terminal device 2 is performing a task.

4.3.8. Reward Granting Unit 47
The reward granting unit 47 grants a reward to the user U who is the monitored person who executed the task when the execution result is accepted by the accepting unit 41. In addition, when the accepting unit 41 accepts evaluation information, the reward granting unit 47 grants a reward to the user U who is the monitor who executed the monitoring of the execution of the task by the monitored person.

The reward given to the user U may be, for example, electronic money, points, or various benefits. Points are a value that can be used, for example, to purchase products or use services on online sites. Benefits may be, for example, coupons, gift certificates, service vouchers, etc., but are not limited to these examples.

The reward granting unit 47 grants a reward to the user U who performed the task, for example, by adding an amount of electronic money or points corresponding to the task to the account or wallet of the user U who performed the task in the online service. The reward granting unit 47 also grants a reward to the user U who performed the task, for example, by transmitting reward information, which is information indicating a benefit, to the terminal device 2 so that the reward information can be displayed on the terminal device 2. The reward may also be cash, in which case the reward granting unit 47 grants the reward to the user U, for example, by depositing cash via a bank account.

The reward granting unit 47 determines the reward to be granted to the monitored person based on the evaluation information by the monitor acquired by the acquisition unit 40. For example, the higher the evaluation by the monitor, the higher the reward the reward granting unit 47 grants to the monitored person. For example, in the case of electronic money, the higher the amount, the higher the reward, and in the case of points or benefits, the higher the amount when converted into cash, the higher the reward.

If the acquisition unit 40 cannot acquire the evaluation information by the monitor, the reward granting unit 47 does not grant a reward to the monitor. In addition, the reward granting unit 47 can also determine the reward to be granted to the monitor based on the evaluation information by the monitor.

For example, the reward granting unit 47 can determine the monitoring accuracy of the monitor based on the monitor's past monitoring results, and grant a higher reward to the monitored person the higher the determined monitoring accuracy. For example, the reward granting unit 47 grants a higher reward to the monitored person the closer the average of the monitor's evaluation value is to the average or median of the evaluation values of all monitors. Note that the average value may be the average value for each task category, or may be the average value for each task.

The reward granting unit 47 can also determine the reward to be granted to the monitor based on the evaluation information by the monitored person acquired by the acquisition unit 40. For example, the reward granting unit 47 determines the higher the reward to be granted to the monitor, the higher the evaluation value indicated by the evaluation information by the monitored person.

The reward granting unit 47 can also determine the reward to be granted to the monitor based on the evaluation information by the monitor and the evaluation information by the monitored person acquired by the acquisition unit 40. For example, the reward granting unit 47 determines the reward to be granted to the monitor based on a weighted sum of the evaluation value indicated in the evaluation information by the monitor and the evaluation value indicated in the evaluation information by the monitored person. For example, the reward granting unit 47 determines the higher the weighted sum is, the higher the reward to be granted to the monitor.

In addition, when the reception unit 41 receives the evaluation information from the supervisor, the reward granting unit 47 grants a reward to the user U who is the supervisor.

5. Processing Procedure
Next, a procedure of information processing by the processing unit 22 of the information processing device 1 according to the embodiment will be described. Fig. 8 is a flowchart showing an example of information processing by the processing unit 22 of the information processing device 1 according to the embodiment.

As shown in FIG. 8, the processing unit 22 of the information processing device 1 determines whether or not task information transmitted from the terminal device 3 has been acquired (step S10). When the processing unit 22 determines that task information has been acquired (step S10: Yes), it stores the acquired task information in the storage unit 21 (step S11).

When the processing of step S11 is completed or when it is determined that task information has not been acquired (step S10: No), the processing unit 22 determines whether or not a decision timing has arrived (step S12). The decision timing may be, for example, a timing that occurs at every predetermined period or a timing each time evaluation information is acquired, but is not limited to such examples.

When the processing unit 22 determines that the determination time has arrived (step S12: Yes), it determines monitor candidates and supervisor candidates from among the users U (step S13). When the processing unit 22 has finished the process of step S13 or has determined that the determination time has not arrived (step S12: No), it determines whether the task notification time has arrived (step S14). The task notification timing may be, for example, each time there is access from the terminal device 2, a timing that arrives at each predetermined period, or each time task information is acquired, but is not limited to such examples.

When the processing unit 22 determines that the task notification timing has arrived (step S14: Yes), it transmits proposal information including the list information to the terminal device 2 (step S15).

When the processing of step S15 is completed or when it is determined that the task notification timing has not arrived (step S14: No), the processing unit 22 determines whether or not a task request has been accepted (step S16). When the processing unit 22 determines that a task request has been accepted (step S16: Yes), it determines one or more monitors and one or more supervisors corresponding to the monitored person who will perform the task specified in the accepted task request (step S17).

Then, the processing unit 22 transmits the execution information, monitor information, etc. to the terminal device 2 of the person being monitored (step S18). The processing unit 22 also transmits the running information, etc. to the terminal device 2 of the monitor (step S19).

When the processing of step S19 is completed or when it is determined that a task request has not been received (step S16: No), the processing unit 22 determines whether or not the task execution result or evaluation information has been acquired (step S20). When the processing unit 22 determines that the task execution result or evaluation information has been acquired (step S20: Yes), it performs a reward granting process (step S21). The reward granting process is a process of granting a reward to the monitored person, the monitor, or the supervisor.

When the processing of step S21 is completed, or when it is determined that the task execution result or evaluation information has not been acquired (step S20: No), the processing unit 22 determines whether or not the operation end timing has arrived (step S22). The processing unit 22 determines that the operation end timing has arrived, for example, when the power supply of the information processing device 1 is turned off.

If the processing unit 22 determines that the operation end time has not yet arrived (step S22: No), it transitions to step S10, and if it determines that the operation end time has arrived (step S22: Yes), it terminates the processing shown in FIG. 8.

[6. Other]
In the above-described example, the monitor monitors the execution of a task by the person to be monitored based on the in-progress information transmitted from the terminal device 2 of the person to be monitored, but the present invention is not limited to such an example.

For example, the determination unit 43 can determine a supervisor candidate who is present around the monitored person as the supervisor. In this case, the supervisor can directly observe and monitor the performance of a task by the monitored person. The determination unit 43 can determine whether or not a supervisor candidate is present around the monitored person based on the detection information output from each terminal device 2.

For example, the determination unit 43 determines the position of the person being monitored and the position of each monitoring candidate based on the detection information output from each terminal device 2, and determines whether or not a monitoring candidate exists around the person being monitored from the position of the person being monitored and the position of each monitoring candidate. When a monitoring candidate exists around the person being monitored, the determination unit 43 determines the monitoring candidate around the person being monitored as the monitoring candidate.

The determination unit 42 also determines whether the execution of a task by the monitored person satisfies a predetermined condition, and the predetermined condition may be, for example, a condition for each attribute of the monitored person or a condition for each attribute of the monitor.

The request unit 44 can also transmit monitoring request information to the monitor's terminal device 2, which includes the monitored person's past average evaluation and an evaluation graph (e.g., a line graph, a bar graph, etc.) of the monitored person's past tasks as reference values.

The determination unit 43 can also determine the monitor so that the combination of the monitored subject and the monitor is not the same. In other words, the determination unit 43 can avoid determining the same user U as the monitor for the same monitored subject.

The determination unit 43 can also determine a pairing of a subject to be monitored and a supervisor based on the evaluation information acquired by the acquisition unit 40. For example, the determination unit 43 determines, as a supervisor, a candidate supervisor who is highly rated by the subject to be monitored or the supervisor, as the supervisor, for a subject to be monitored who is low rated by the supervisor. The supervisor's evaluation is, for example, the average, median, or minimum value of the evaluation values indicated by the supervisor's past evaluation information.

The determination unit 43 can also use the average value of the evaluations of monitors who have a higher-than-average evaluation of the monitored person by the monitored person or the supervisor as a reference value, and determine as a monitor candidate a monitor whose average evaluation of the monitored person is closer to the reference value for a monitored person with a lower evaluation by the monitor. Note that the determination unit 43 can also determine a monitor randomly.

The determination unit 43 can determine more monitor candidates as monitors for a monitored person with a lower evaluation by the monitor, or can determine monitor candidates with a higher evaluation by the monitored person or the supervisor as monitors. Note that the evaluation by the monitor may be an evaluation by the monitor of the execution of a task in a category of tasks performed by the monitored person.

The determination unit 43 can also determine more monitors for tasks that provide a higher reward to the monitored person for performing the task, or determine monitor candidates with higher ratings as monitors.

The determination unit 43 can also determine as a monitor a monitor candidate with a higher probability for a monitor candidate who is highly rated by the monitore or the supervisor. The determination unit 43 can also determine as a monitor a monitor candidate who is highly rated by the monitore or the supervisor with a higher probability for a monitore who is low rated by the supervisor.

The request unit 44 can also request the monitor who is monitoring the execution of a task by the monitored person to execute a task that is the same as or similar to the task being executed by the monitored person.

The determination unit 42 can also determine, for example, that a user U whose average or median value of the appropriateness of task execution is equal to or greater than a threshold value is a user U whose task execution satisfies a predetermined condition. The appropriateness of task execution is determined by the determination unit 42.

For example, the judgment unit 42 judges the appropriateness of task execution based on the result of task execution. For example, if the task is a questionnaire-type task, the closer the answering speed to the questions is to a predetermined range, the higher the appropriateness of task execution is judged to be. Note that the appropriateness of task execution is highest when the answering speed is within the predetermined range. The predetermined range is set automatically or manually, for example, based on the history of the answering speeds to the questions by multiple users U. The predetermined range is, for example, a range of 1σ standard deviation, but is not limited to such an example and can be set in various ways.

In addition, when the task is a questionnaire-type task, the appropriateness of task execution is determined to be lower, for example, the more outliers there are in the answers to questions posed by user U. When an answer is an answer selected from multiple options, an outlier answer is an answer that does not fall into any of the multiple options, but it may also be a statistical outlier.

In addition, for example, when the task is annotation, the appropriateness of task execution is determined to be higher the closer the tagging speed is to a predetermined range. The appropriateness of task execution is highest when the tagging speed is within a predetermined range. The predetermined range is set automatically or manually, for example, based on the history of tagging speeds by multiple users U. The predetermined range is, for example, a range of 1σ standard deviation, but is not limited to such an example and can be set in various ways.

In addition, when the task is an annotation, the appropriateness of task execution is determined to be lower, for example, the more outliers the tagging by user U has. When the task is an annotation, an outlier is, for example, unexpected tag information, such as when the size of the tagged range is not within a predetermined range of sizes, or when the tag is selected from options and does not fall into any of the multiple options, but it may also be a statistical outlier.

In addition, for example, in the case of an operation-type task, the appropriateness of task execution is determined to be higher the closer the number of operations is to a predetermined range. The appropriateness of task execution is highest when the number of operations is within a predetermined range. The predetermined range is set automatically or manually, for example, based on the history of the number of operations by multiple users U. The predetermined range is, for example, a range of a standard deviation of 1σ, but is not limited to such an example and can be set in various ways. In the case of a task with multiple types of operations, the appropriateness of task execution is determined by weighting the appropriateness of the number of operations for each type.

The determination unit 42 can also determine the appropriateness of task execution using an appropriateness estimation model that receives execution information as input and outputs appropriateness. The appropriateness estimation model is generated, for example, by machine learning using learning data that includes the execution information and the presence or absence of legitimacy of task execution.

In the appropriateness estimation model, the legitimacy of execution is deemed valid, for example, when user U performs a task sincerely, and invalid, when user U performs a task without sincerity. Performing a task sincerely can also be said to be performing a task appropriately, and performing a task without sincerity can also be said to be performing a task inappropriately.

In the case of a question-type task, performing a task carelessly means, for example, answering the questions without looking at them or answering them automatically using program code, and in the case of an annotation task, tagging without looking at the instructions indicated in the execution information. In the case of an operation-type task, performing a task carelessly means operating without looking at the instructions indicated in the execution information or performing an abnormally large or small number of operations. Performing a task carelessly also includes abandoning a task midway.

In the above example, a case where a task is not performed carelessly is illustrated, and learning data is generated assuming that a task is performed seriously when the task is not performed carelessly, but a case where a task is performed seriously may also be illustrated. In this case, learning data may be generated assuming that a task is performed carelessly when the task is not performed seriously.

In machine learning of the appropriateness estimation model, the legitimacy of the execution of a task in the learning data is used as a tag (label), and such a tag is attached, for example, by the task to be executed by the user U, but is not limited to such an example.

The determination unit 42 can also determine the appropriateness of a task based on detection information output from the terminal device 2 when the user U performs the task. For example, the determination unit 42 determines the direction of the user U's face and the direction of the user U's gaze in a captured image based on information about the captured image included in the detection information.

The determination unit 42 determines that the appropriateness of task execution is higher when the ratio of the direction of the user U's face or the direction of the user U's gaze that is directed toward the terminal device 2 (e.g., the ratio to the task execution time) is closer to a predetermined range (e.g., a range equal to or greater than a threshold value). Note that the appropriateness of task execution is highest when the ratio of the direction of the user U's face or the direction of the user U's gaze that is directed toward the terminal device 2 is within a predetermined range.

Models such as the appropriateness estimation model are generated by machine learning using a neural network such as a convolutional neural network, a recurrent neural network, or a deep neural network, but are not limited to such examples. For example, instead of a neural network, the learning model may be generated using machine learning using a learning algorithm such as a gradient boosting decision tree (GBDT), linear regression, or logistic regression.

The monitoring results by the monitor may also include detection information in addition to the evaluation information. The detection information is information detected by a sensor provided in the monitor's terminal device 2. In this case, the information processing device 1 determines whether or not the monitoring by the monitor is appropriate based on the detection information transmitted from the monitor's terminal device 2.

For example, when the monitored person is performing a task, if the proportion of the direction of the user U's face or the direction of the user U's gaze that is directed toward the terminal device 2 (e.g., the ratio to the task execution time) is equal to or greater than a threshold value, the determination unit 42 determines that monitoring by the monitor is appropriate, and if not, determines that monitoring by the monitor is inappropriate.

The reward granting unit 47 can grant a higher reward to the monitor when the determination unit 42 determines that the monitoring by the monitor is appropriate than the reward to be granted to the monitor when the determination unit 42 determines that the monitoring by the monitor is inappropriate. The reward granting unit 47 can also grant a higher reward to the monitor the higher the proportion of the direction of the user U's face or the direction of the user U's gaze that is directed toward the terminal device 2 when the monitored person is performing a task (for example, the ratio to the time the task is performed).

The determination unit 43 can also transmit monitor information including information on multiple monitor candidates to the terminal device 2 of the person being monitored, and allow the person being monitored to select a desired monitor candidate from the multiple monitor candidates. The determination unit 43 determines the monitor candidate selected by the person being monitored as the monitor.

In addition, when the task information includes condition information, the determination unit 42 can determine the degree of agreement between the context estimated by the processing unit 22 as the context of the user U when the user U is performing the task and the context specified in the condition information of the task information as the appropriateness. The "degree of agreement" is, for example, a value in the range of 0 to 1.

For example, if the context specified by the condition information of the task information is "in a restaurant" and the estimated context is "in a restaurant", the degree of match is "1". If the context specified by the condition information of the task information is "moving outdoors in the rain" and the estimated context is "stopped outdoors in the rain", one of the two items matches, so the degree of match is "0.5". If the context specified by the condition information is specified by multiple items, the value obtained by adding up the values for each item is calculated as the degree of match. The values for each item may be the same or different. For example, the processing unit 22 functions as an estimation unit to estimate the context of the user U based on the detection information and history information transmitted from the terminal device 2.

7. Hardware Configuration
Each of the information processing device 1 and the terminal device 2 according to the embodiment described above is realized by a computer 200 having a configuration as shown in Fig. 9. Fig. 9 is a hardware configuration diagram showing an example of the computer 200 that realizes each function of the information processing device 1 and the terminal device 2 according to the embodiment. The computer 200 has a CPU 201, a RAM 202, a ROM (Read Only Memory) 203, a HDD (Hard Disk Drive) 204, a communication interface (I/F) 205, an input/output interface (I/F) 206, and a media interface (I/F) 207.

The CPU 201 operates based on a program stored in the ROM 203 or the HDD 204, and controls each component. The ROM 203 stores a boot program executed by the CPU 201 when the computer 200 is started, and programs that depend on the hardware of the computer 200.

The HDD 204 stores programs executed by the CPU 201 and data used by such programs. The communication interface 205 receives data from other devices via the network N (see FIG. 2) and sends it to the CPU 201, and transmits data generated by the CPU 201 to other devices via the network N.

The CPU 201 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse, via the input/output interface 206. The CPU 201 acquires data from the input devices via the input/output interface 206. The CPU 201 also outputs data generated via the input/output interface 206 to the output devices.

The media interface 207 reads a program or data stored in the recording medium 208 and provides it to the CPU 201 via the RAM 202. The CPU 201 loads the program from the recording medium 208 onto the RAM 202 via the media interface 207 and executes the loaded program. The recording medium 208 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable Disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

For example, when the computer 200 functions as the information processing device 1 or terminal device 2 according to the embodiment, the CPU 201 of the computer 200 executes a program loaded onto the RAM 202 to realize the functions of the processing unit 22 or processing unit 15. In addition, the HDD 204 stores data in the memory unit 21 or memory unit 14. The CPU 201 of the computer 200 reads and executes these programs from the recording medium 208, but as another example, these programs may be obtained from another device via the network N.

[8. Other]
In addition, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by a known method. In addition, the information including the processing procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

For example, the information processing device 1 described above may be realized by multiple server computers, and depending on the function, the configuration can be flexibly changed, such as by calling an external platform using an API or network computing.

The above-described embodiments and variations can be combined as appropriate to the extent that they do not cause inconsistencies in the processing content.

9. Effects
As described above, the information processing device 1 according to the embodiment includes an acquisition unit 40 that acquires execution information, which is information regarding past execution of a task by a first user using a first terminal device, a determination unit 42 that determines whether or not the execution by the first user satisfies a predetermined condition based on the execution information acquired by the acquisition unit 40, and a determination unit 43 that determines the first user whose execution is determined by the determination unit 42 to satisfy the predetermined condition as a monitor who monitors the execution of a task by a second user using a second terminal device. This allows the information processing device 1 to provide the order-issuing side with the monitoring result of the task execution in addition to the execution result, and to exclude execution results with low evaluations for the task execution, thereby promoting crowdsourcing.

The information processing device 1 also includes a request unit 44 that requests monitoring from the monitor determined by the determination unit 43. This enables the information processing device 1 to promote crowdsourcing.

The information processing device 1 also includes a reward granting unit 47 that, when monitoring is performed by a monitor, grants a reward to the monitor who performed the monitoring. This enables the information processing device 1 to increase the monitor's motivation to monitor and promote crowdsourcing.

The reward granting unit 47 also determines the reward to be granted to the second user based on the monitoring results by the monitor. This enables the information processing device 1 to motivate the monitored person to perform tasks appropriately, thereby promoting crowdsourcing.

The acquisition unit 40 also acquires evaluation information indicating the monitor's evaluation of the second user's execution using the second terminal device, and the reward granting unit 47 determines the reward to be granted to the monitored person based on the evaluation information. This enables the information processing device 1 to motivate the monitor to appropriately monitor the execution of tasks, thereby promoting crowdsourcing.

The information processing device 1 also includes a notification unit 46 that notifies the second user that the monitor is performing monitoring. This enables the information processing device 1 to motivate the monitored person to perform tasks appropriately, thereby promoting crowdsourcing.

The determination unit 43 also determines multiple first users and determines some of the multiple first users as monitors who monitor the monitoring status of the remaining first users. This enables the information processing device 1 to motivate the monitors to appropriately monitor the execution of tasks, thereby promoting crowdsourcing.

The predetermined conditions are conditions for each task category. This allows the information processing device 1 to determine a monitor based on different conditions for each task category, thereby determining a more appropriate monitor and promoting crowdsourcing.

The determination unit 43 also determines, based on the second user's evaluation of the first user, one or more sensors from among the multiple sensors provided in the second terminal device that the first user will use for monitoring. This enables the information processing device 1 to motivate the monitor to appropriately monitor the execution of tasks, thereby promoting crowdsourcing.

The tasks to be monitored are tasks previously performed by the first user or tasks included in a category of tasks previously performed by the first user. This allows the information processing device 1 to determine a monitor who will appropriately monitor the execution of tasks, thereby facilitating crowdsourcing.

The above describes the embodiments of the present application in detail based on the drawings, but this is merely an example, and the present invention can be implemented in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the aspects described in the disclosure section of the invention.

The above-mentioned "section, module, unit" can be read as "means" or "circuit." For example, an acquisition unit can be read as an acquisition means or an acquisition circuit.

REFERENCE SIGNS LIST 1 Information processing device 2, 2A, 2B, 3 Terminal device 10, 20 Communication unit 11 Display unit 12 Operation unit 13 Sensor group 14, 21 Memory unit 15, 22 Processing unit 16 Information acquisition unit 17 Display processing unit 18 Information output unit 30 User information storage unit 31 Task information storage unit 32 Task execution result storage unit 40 Acquisition unit 41 Reception unit 42 Judgment unit 43 Decision unit 44 Request unit 45 Task unit 46 Notification unit 47 Reward grant unit 100 Information processing system N Network

Claims (12)

an acquisition unit that acquires execution information, which is information regarding past execution of a task by a first user using a first terminal device;
a determination unit that determines whether or not the execution by the first user satisfies a predetermined condition based on the execution information acquired by the acquisition unit;
a determination unit that determines the first user, whose execution is determined by the determination unit to satisfy the predetermined condition, as a monitor who monitors the execution of a task by a second user using a second terminal device. The information processing apparatus according to claim 1 , further comprising a request unit that requests the monitoring to the monitor determined by the determination unit. The information processing apparatus according to claim 1 , further comprising a reward providing unit that provides a reward to the monitor who has performed the monitoring when the monitoring is performed by the monitor. The reward granting unit:
The information processing apparatus according to claim 3 , further comprising: determining a reward to be given to the second user based on a result of monitoring by the monitor. The acquisition unit is
acquiring evaluation information indicating an evaluation by the monitor of the execution by the second user using the second terminal device;
The reward granting unit:
The information processing apparatus according to claim 4 , further comprising: determining a reward to be given to the second user based on the evaluation information. The information processing apparatus according to claim 1 , further comprising a notification unit that notifies the second user of the execution of the monitoring by the monitor. The determination unit is
The information processing device according to claim 1 or 2, characterized in that a plurality of the first users are determined, and some of the plurality of the first users are determined as monitors who monitor the monitoring status of the remaining first users. The predetermined condition is:
The information processing apparatus according to claim 1 , wherein the condition is for each category of the task. The determination unit is
The information processing device according to claim 1 or 2, characterized in that, based on an evaluation of the first user by the second user, one or more sensors from among a plurality of sensors provided in the second terminal device are determined to be used by the first user for the monitoring. The tasks to be monitored are:
The information processing apparatus according to claim 1 , wherein the task is a task previously executed by the first user or a task included in a category of tasks previously executed by the first user. 1. A computer-implemented information processing method, comprising:
an acquisition step of acquiring execution information which is information regarding past execution of a task by a first user using a first terminal device;
a determination step of determining whether or not the execution by the first user satisfies a predetermined condition based on the execution information acquired by the acquisition step;
and a determination step of determining the first user, whose execution is determined to satisfy the predetermined condition by the determination step, as a monitor who monitors the execution of a task by a second user using a second terminal device. An acquisition step of acquiring execution information, which is information regarding past execution of a task by a first user using a first terminal device;
a determination step of determining whether or not the execution by the first user satisfies a predetermined condition based on the execution information acquired by the acquisition step;
a determination procedure for determining the first user, whose execution is determined to satisfy the predetermined condition by the judgment procedure, as a monitor who will monitor the execution of a task by a second user using a second terminal device.

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