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Serious Games Adaptation According to the Learner’s Motivational State

  • Othman Bakkali YedriEmail author
  • Abdelali Slimani
  • Lotfi El Aachak
  • Mohamed Bouhorma
Conference paper
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)

Abstract

Multi-agent systems (MAS) have demonstrated their relevance many times in the design of computer simulations or video games where a number of autonomous entities evolve in a complex and dynamic environment. Serious Games (SG) represent a new discipline at the frontier of simulation and gaming. We believe that a category of SG, intended to foster the learner motivation in a gamified environment, they introduce new and challenging problems for the community. Although several studies focused on providing an enjoyable game experience and ensure the effective learning outcomes, the learner motivation differs from the leaner to another and requires an adaptation of difficulty level to player competence. The current research studies the adaptation through serious game and proposes an adaptive model based on SMA architecture to solve the motivation issues, and then it illustrates the proposal for the professional job interview training and discusses the obtaining results.

Keywords

Serious games Adaptation Player motivation Multi-Agents system Fuzzy logic Classification algorithms Clustering E-learning Flow theory 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Othman Bakkali Yedri
    • 1
    Email author
  • Abdelali Slimani
    • 1
  • Lotfi El Aachak
    • 1
  • Mohamed Bouhorma
    • 1
  1. 1.Computer ScienceSystems and Telecommunication Laboratory (LIST)TangierMorocco

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