Designing Agents That Recognise and Respond to Players’ Emotions

  • Weiqin Chen
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 14)


Giving agents the ability to sense, recognise and appropriately respond to the human emotions is one of the main methods to make the agents more believable. In intelligent tutoring systems, learners’ affective states have been incorporated in providing adaptive feedback. In game industry, however, emotions of players have not been paid enough attention. Games normally do not take into account of players’ emotions when they play games. Non-player characters do not respond to players’ emotional status. We argue that adapting to players’ emotions can make the non-player characters more believable and the game more enjoyable.


Affective State Game State Intelligent Tutoring System Designing Agent Human Player 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Weiqin Chen
    • 1
    • 2
  1. 1.Department of Information Science and Media StudiesUniversity of BergenBergenNorway
  2. 2.Oslo and Akershus University College of Applied SciencesOsloNorway

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