Recommending rides: psychometric profiling in the theme park

Egglestone, Stefan Rennick, Rowland, Duncan, Whitbrook, Amanda, Greensmith, Julie, Walker, Brendan, Benford, Steve, Marshall, Joe, Kirk, David, Schnädelbach, Holger and Irune, Ainoje (2010) Recommending rides: psychometric profiling in the theme park. Computers in Entertainment: Theoretical and Practical Computer Applications in Entertainment, 8 (3). pp. 1-17. ISSN 1544-3574

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Abstract

This article presents a study intended to inform the design of a recommender system for theme park rides. It examines the efficacy of psychometric testing for profiling theme park visitors, with the aim of establishing a set of measures to be included in a visitor profile intended for use in a collaborative recommender system. Results presented in this article highlight the predictive value of a number of psychometric measures, including two drawn from the “Big Five” personality inventory, and one drawn from the “Sensation Seeking Scale”. The article discusses general research challenges associated with the integration of psychometric testing into recommender systems, and describes planned future work on a theme park recommender system.

Item Type: Article
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 11159
Useful Links:
Depositing User: Teddy ~
Date Deposited: 03 Jul 2013 15:52
Last Modified: 13 Oct 2016 14:27
URI: https://eprints.mdx.ac.uk/id/eprint/11159

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