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Player adaptive entertainment computing (PAEC): Mechanism to model user satisfaction by using neuro linguistic programming (NLP) techniques

Chiou, A. and Wong, K.W. (2008) Player adaptive entertainment computing (PAEC): Mechanism to model user satisfaction by using neuro linguistic programming (NLP) techniques. In: IEEE Symposium On Computational Intelligence and Games (CIG '09), 15-18 Dec. 2008, Perth, W.A. pp. 343-349.

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    Link to Published Version: http://dx.doi.org/10.1109/CIG.2008.5035660
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    Abstract

    The concept of Player Adaptive Entertainment Computing (PAEC) is introduced to provide personalized experiences when interacting with the entertainment media. Two of the important areas in PAEC are to create specific targeted strategies to cater for individual user, and to perform personalization. To accomplish this, a suitable mechanism to model user experience is required. This is explored in a case study using neuro linguistic programming (NLP) that models the NLP spatial anchors of experiences of a sample group of users during game play. These NLP anchors are reconstructed during game play of a second group of users allowing them to experience the same level satisfaction as the first sample group.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: © 2009 IEEE
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/973
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