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

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conference contribution
posted on 06.12.2017, 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.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Parent Title

2008 IEEE symposium on computational intelligence and games, (CIG'08), Perth, Australia, 15-18 December 2008.

Start Page

343

End Page

349

Number of Pages

7

Start Date

01/01/2008

ISBN-13

9781424429745

Location

Perth, Australia

Publisher

IEEE Computational Intelligence Society

Place of Publication

UWA, Perth.

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Business and Informatics; Murdoch University; Not affiliated to a Research Institute;

Era Eligible

Yes

Name of Conference

IEEE Symposium on Computational Intelligence and Games