Emotional computing

Description

Emotional Computing (or Affective Computing) studies how machines can recognize, model, and respond to human emotions. It combines methods from computer science, psychology, and artificial intelligence to design systems that are emotionally aware and adaptive. Research in this axis includes emotion recognition from signals such as text, voice, or facial expressions, and the integration of emotions into decision-making and learning models. Applications range from education and healthcare to human–computer interaction and organizational support, with the aim of creating more natural, user-centered intelligent systems.

Membres

Hanen Lejmi

Hiba Chaher

Publications

2019

Mouna Belhaj, Hanen Lejmi, Lamjed Ben Said
Studying emotions at work using agent-based modeling and simulation

In IFIP international conference on artificial intelligence applications and innovations (pp. 571-583). Cham: Springer International Publishing., 2019

Résumé

Emotions in workplace is a topic that has increasingly at
tracted attention of both organizational practitioners and academics. This is due to the fundamental role emotions play in shaping human resources behaviors, performance, productivity, interpersonal relationships and engagement at work. In the current research, a computational social simulation approach is adopted to replicate and study the emotional experiences of employees in organizations. More speci cally, an emotional
agent-based model of an employee at work is proposed. The developed model is used in a computer simulator WEMOS (Workers EMotions in Organizations Simulator) to conduct certain analyzes in relation to the most likely emotions-evoking stimuli as well as the emotional content of several work-related stimuli. Simulation results can be employed to gain deeper understanding about emotions in the work life.

Hanen Lejmi, Mouna Belhaj, Lamjed Ben Said
Studying Emotions at Work Using Agent-Based Modeling and Simulation

Studying Emotions at Work Using Agent-Based Modeling and Simulation, 2019

Résumé

Emotions in workplace is a topic that has increasingly attracted attention of both organizational practitioners and academics. This is due to the fundamental role emotions play in shaping human resources behaviors, performance, productivity, interpersonal relationships and engagement at work. In the current research, a computational social simulation approach is adopted to replicate and study the emotional experiences of employees in organizations. More specifically, an emotional agent-based model of an employee at work is proposed. The developed model is used in a computer simulator WEMOS (Workers EMotions in Organizations Simulator) to conduct certain analyzes in relation to the most likely emotions-evoking stimuli as well as the emotional content of several work-related stimuli. Simulation results can be employed to gain deeper understanding about emotions in the work life.
2018

Hanen Lejmi, Thouraya Daouas
Emotions recognition in an intelligent elearning environment.

Emotions recognition in an intelligent elearning environment., 2018

Résumé

For the purpose of improving the quality in Elearning process and overcoming the limitations of the current online educational environments, we propose to take into consideration the emotional states of students during Elearning sessions. Our objective is to ensure the ability of emotional intelligence: Emotion Recognition, in an eLearning environment. Thus, we present an architecture of Emotionally Intelligent Elearning System (EIES). Within the development of a computational probabilistic model of emotions, we proposed a Bayesian Network (BN) model to deal with emotions in Elearning environments and handle the uncertain nature of emotion recognition process. In a second phase, we focus on the incorporation of the emotion recognition in the Elearning systems by developing a simulation of EIES based on the BN model, able to predict the students’ affects. Consequently, we reached positive and promising results related to the fact that simulated EIES based on the BN model of emotions predicts correctly the student’s emotion when an event occurs during an Elearning session.
2015

Hanen Lejmi, Lamjed Ben Said, Fahem Kebaier
Agent-based modeling and simulation of the emotional experiences of employees within organizations

Agent-based modeling and simulation of the emotional experiences of employees within organizations, 2015

Résumé

In line with the multi-disciplinary growing interest in emotions and the scientific proof of their usefulness for taking decisions, scholars, in agent-oriented systems, start to account for emotions when building upon intelligence and realism in rational agents. As a result, several computational models of emotions were developed and new architectures for emotional artificial agents were proposed, in particular the Emotional Belief Desire Intention (EBDI) agents. In this paper, we provide a comprehensive description of two computational models which are used to generate immediate and expected emotions. These models will be incorporated within an EBDI agent architecture that takes into consideration these two types of emotions.

Hanen Lejmi, Lamjed Ben Said, Fahem Kebaeir
Agent-based modeling and simulation of the emotional experiences of employees within organizations

Agent-based modeling and simulation of the emotional experiences of employees within organizations, 2015

Résumé

Agent-Based Modeling and Simulation (ABMS) have been used to study a wide range of complex systems and several emergent behaviors across a variety of disciplines. However, very limited works have adopted these paradigms to provide insights to organizational psychology in general and to researches dealing with emotions at work in particular. The current research uses ABMS to study the emotions experienced in the organizational context; it focuses specifically on their impact on the quality of decisions made as a key factor of organizations success. In this paper, the emphasis is set on the emotion generation process. The proposed work introduces an agent-based model of the emotional experiences of employees within organizations. It adopts a cross-disciplinary approach and it brings another theoretical perspective to agent-based modeling of emotions at work. In fact, this model is based on the OCC appraisal theory to generate artificial emotions, but it also takes advantage of theoretical foundations from organization behavior and organization psychology. Simulation results can bring new insights to organizational researches. Moreover, the simulated system can serve as a human resources development tool used by employees at work to enhance their emotional awareness.

Hanen Lejmi, Lamjed Ben Said, Fahem Kebaeir
Computational Models of Immediate and Expected Emotions for Emotional BDI Agents

Computational Models of Immediate and Expected Emotions for Emotional BDI Agents, 2015

Résumé

In line with the multi-disciplinary growing interest in emotions and the scientific proof of their usefulness for taking decisions, scholars, in agent-oriented systems, start to account for emotions when building upon intelligence and realism in rational agents. As a result, several computational models of emotions were developed and new architectures for emotional artificial agents were proposed, in particular the Emotional Belief Desire Intention (EBDI) agents. In this paper, we provide a comprehensive description of two computational models which are used to generate immediate and expected emotions. These models will be incorporated within an EBDI agent architecture that takes into consideration these two types of emotions.
2014

Hanen Lejmi, Lamjed Ben Said, Fahem Kebaeir
Agent Decision-Making under Uncertainty: Towards a New E-BDI Agent Architecture Based on Immediate and Expected Emotions

Agent Decision-Making under Uncertainty: Towards a New E-BDI Agent Architecture Based on Immediate and Expected Emotions, 2014

Résumé

Over the last decade, emotions have received considerable attention among scholars in agent oriented systems. In fact a large amount of computational models of emotions has been developed and a new generation of artificial agents has emerged to give rise to emotional agents, in particular the Emotional BDI (EBDI) agents. However, in spite of the several interesting studies that have been conducted to underline the role of emotions in decision-making, few works in the agent community have shed the light on the influences of both immediate and expected emotions to drive decision-making. In this context, we intend to propose a new conceptual model of EBDI agency that involves the interplay among immediate emotions, expected emotions and rational decisions of artificial agents.