Emotion detection has been carried out using different channels and sensors, facial recognition being one of the most frequent. Likewise, physiological signals such as EEG, ECG, EMG, and GSR along with various artificial intelligence ...

Nowadays, software development companies use agile methodologies to increase the speed and flexibility required by unpredictable working environments and streamline the software delivery process. Agile methodologies emphasize the ...

• Metrics to measure performance should include the software engineer’ affective states.

The emotional or affective state has a direct impact not only on personal life, but also in the field of work, sports, rehabilitation processes, among other fields. In the evolving understanding of emotional theory, it has been ...

• According to bidimensional theory, emotions are classified using Arousal and Valence.

Is collective agency important for information security management? Drawing on social cognitive theory, this paper proposes four efficacy-shaping factors as antecedents of workgroup collective efficacy and examines its influence on workgroup ...

Within the context of Industry 4.0 and of the new emerging Industry 5.0, human factors are becoming increasingly important, especially in Human-Robot Collaboration (HRC). This paper provides a novel study focused on the human aspects involved in ...

The research on the claimed effects of Test-Driven Development (TDD) on software quality and developers’ productivity has shown inconclusive results. Some researchers have ascribed such results to the negative affective reactions that ...

• Experience with unit testing causes more negative affective reactions to TDD.
• ...

This paper describes “Neurochat”, a novel artistic Brain Computer Interface (aBCI) application that allows users to explore the combination of art and brain activity in a live online chat experience. This new interaction method enables users to ...

The emotional state of a person is important to understand their affective state. Affective states are an important aspect of our being “human”. Therefore, for man-machine interaction to be natural and for machines to understand people, it is ...

Crowd understanding plays a vital role in management processes and continues to receive a growing interest in various public and commercial service sectors. Surveillance, entertainment, marketing, and social sciences are only a few of the fields ...

Automatic recognition of human affective state using speech has been the focus of the research world for more than two decades. In the present day, with multi-lingual countries like India and Europe, population are communicating in various languages. ...

In this paper we explore if physiological signals obtained from a person through wearable sensors permit the correct interpretation of human affective states. A crucial aspect within this field of research is the capability of inducing real-life ...

Populations around the world are rapidly ageing as the population aged 65 and over is growing faster than all other age groups. Most of the daily life actions of active elderly are related to walking activities, thus guaranteeing walking ...

Affective systems are supposed to improve user satisfaction and hence usability by identifying and complementing the affective state of a user at the time of interaction. The first and most important challenge for building such systems is to ...

In this paper, we present an action selection mechanism to simulate the human behavior in realistic and believable virtual humans according to their personality and affective state taking into account their beliefs, desires, intentions, and the level of ...

The verbal and nonverbal channels of human communication are internally and intricately connected. As a result, gestures and speech present high levels of correlation and coordination. This relationship is greatly affected by the linguistic and ...

This paper deals in depth with some of the emotions that play a role in a group recommender system, which recommends sequences of items to a group of users. First, it describes algorithms to model and predict the satisfaction experienced by individuals. ...