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Capturing Player Enjoyment in Computer Games

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Advanced Intelligent Paradigms in Computer Games

Part of the book series: Studies in Computational Intelligence ((SCI,volume 71))

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The current state-of-the-art in intelligent game design using Artificial Intelligence (AI) techniques is mainly focused on generating human-like and intelligent characters. Even though complex opponent behaviors emerge through various machine learning techniques, there is generally no further analysis of whether these behaviors contribute to the satisfaction of the player. The implicit hypothesis motivating this research is that intelligent opponent behaviors enable the player to gain more satisfaction from the game. This hypothesis may well be true; however, since no notion of entertainment or enjoyment is explicitly defined, there is therefore no evidence that a specific opponent behavior generates enjoyable games.

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Authors and Affiliations

  1. Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Campusvej 55, 5230, Odense M, DK

    Georgios N. Yannakakis & John Hallam

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  1. Georgios N. Yannakakis
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  2. John Hallam
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Editors and Affiliations

  1. Osaka Kyoiku University, Asahiga-oka, 4-698-1 Kashiwara, 582-8582, Osaka, Japan

    Norio Baba

  2. University of South Australia, Mawson Lakes Campus, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  3. Okayama University, Tsushima-Naka 3-1-1, 700-8530, Okayama, Japan

    Hisashi Handa

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Yannakakis, G.N., Hallam, J. (2007). Capturing Player Enjoyment in Computer Games. In: Baba, N., Jain, L.C., Handa, H. (eds) Advanced Intelligent Paradigms in Computer Games. Studies in Computational Intelligence, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72705-7_8

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  • DOI: https://doi.org/10.1007/978-3-540-72705-7_8

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