Recommending rides: psychometric profiling in the theme park

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

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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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/706860
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
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1145/1902593.1902600
Depositing User: Rennick-Egglestone, Mr Stefan
Date Deposited: 30 Nov 2011 21:07
Last Modified: 04 May 2020 16:29
URI: https://eprints.nottingham.ac.uk/id/eprint/1561

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