Player adaptive entertainment computing (PAEC) : mechanism to model user satisfaction by using neuro linguistic programming (NLP) techniques
conference contributionposted on 2017-12-06, 00:00 authored by Andrew ChiouAndrew Chiou, K Wong
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.
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
Parent Title2008 IEEE symposium on computational intelligence and games, (CIG'08), Perth, Australia, 15-18 December 2008.
Number of Pages7
PublisherIEEE Computational Intelligence Society
Place of PublicationUWA, Perth.
External Author AffiliationsFaculty of Business and Informatics; Murdoch University; Not affiliated to a Research Institute;