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Recommending rides: psychometric profiling in the theme park

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

Publisher: ACM
Year: 2010
OAI identifier: oai:eprints.nottingham.ac.uk:1561
Provided by: Nottingham ePrints

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