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Recommending rides: psychometric profiling in the theme park

Rennick-Egglestone, Stefan; Whitbrook, Amanda; Greensmith, Julie; Walker, Brendan; Benford, Steve; Marshall, Joe; Kirk, David; Schnädelbach, Holger; Irune, Ainoje; Rowland, Duncan

Authors

Stefan Rennick-Egglestone stefan.egglestone@nottingham.ac.uk

Amanda Whitbrook a.m.whitbrook@lboro.ac.uk

Julie Greensmith jqg@cs.nott.ac.uk

Brendan Walker info@aerial.fm

Steve Benford steve.benford@nottingham.ac.uk

Joe Marshall jqm@cs.nott.ac.uk

David Kirk

Holger Schnädelbach holger.schnadelbach@nottingham.ac.uk

Ainoje Irune

Duncan Rowland

Abstract

This paper 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 paper 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 paper 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.

Journal Article Type Article
Publication Date Dec 1, 2010
Journal Computers in Entertainment
Peer Reviewed Peer Reviewed
Volume 8
Issue 3
Institution Citation Rennick-Egglestone, S., Whitbrook, A., Greensmith, J., Walker, B., Benford, S., Marshall, J., …Rowland, D. (2010). Recommending rides: psychometric profiling in the theme park. doi:10.1145/1902593.1902600
DOI https://doi.org/10.1145/1902593.1902600
Publisher URL http://doi.acm.org/10.1145/1902593.1902600
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information © ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Computers in Entertainment, 8(3), 2010, http://doi.acm.org/10.1145/1902593.1902600

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf




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