smart.lab.tunisia@gmail.com +216 71 588 443
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Hanen Lejmi

Informations générales

Hanen Lejmi
Grade

PES

Biographie courte

Hanène Lejmi Riahi is a researcher and teacher passionate about the intersection of technology and human behavior. She holds Business Computer Science PhD in the field of  Artificial Intelligence from the Institut Supérieur de Gestion de Tunis. Her research explores agent-based modeling and simulation with a focus on the role of emotions in decision-making within organizational and educational environments. She completed a postdoctoral fellowship at SMART LAB in collaboration with Biware Solutions, where she contributed to the development of intelligent systems for human resources management and professional support.

She has teaching experience at different levels, including higher education (INSAT) and secondary education, mainly in algorithms and data structures. Her areas of expertise and research interests include artificial intelligence, multi-agent systems, emotional computing, decision-making under uncertainty, intelligent e-learning, and organizational psychology.

Axes de recherche

Artificial Intelligence
Emotional computing

Publications

  • 2019
    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.

  • 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.

  • 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.

  • Hanen Lejmi, Fahem Kebair, Lamjed Ben Said

    Agent decision-making under uncertainty: Towards a new e-bdi agent architecture based on immediate and expected emotions

    International Journal of Computer Theory and Engineering, 6(3), 254., 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.

    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.