Studying Emotions at Work Using Agent-Based Modeling and Simulation

Autor: Hanen Lejmi-Riahi, Lamjed Ben Said, Mouna Belhaj
Přispěvatelé: Institut Supérieur de Gestion de Tunis [Tunis] (ISG), Université de Tunis, Strategies for Modelling and ARtificial inTelligence Laboratory (SMART-LAB), John MacIntyre, Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis, TC 12, WG 12.5
Rok vydání: 2019
Předmět:
Zdroj: IFIP Advances in Information and Communication Technology ISBN: 9783030198220
AIAI
IFIP Advances in Information and Communication Technology
15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2019, Hersonissos, Greece. pp.571-583, ⟨10.1007/978-3-030-19823-7_48⟩
DOI: 10.1007/978-3-030-19823-7_48
Popis: Part 11: Multi Agent - IoT; International audience; 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.
Databáze: OpenAIRE
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