Recommending rides: psychometric profiling in the theme park

Article

Egglestone, S., Rowland, D., Whitbrook, A., Greensmith, J., Walker, B., Benford, S., Marshall, J., Kirk, D., Schnädelbach, H. and Irune, A. 2010. Recommending rides: psychometric profiling in the theme park. Computers in Entertainment: Theoretical and Practical Computer Applications in Entertainment. 8 (3), pp. 1-17. https://doi.org/10.1145/1902593.1902600
TypeArticle
TitleRecommending rides: psychometric profiling in the theme park
AuthorsEgglestone, S., Rowland, D., Whitbrook, A., Greensmith, J., Walker, B., Benford, S., Marshall, J., Kirk, D., Schnädelbach, H. and Irune, A.
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.

PublisherAssociation for Computing Machinery (ACM)
JournalComputers in Entertainment: Theoretical and Practical Computer Applications in Entertainment
ISSN1544-3574
Publication dates
PrintDec 2010
Publication process dates
Deposited03 Jul 2013
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1145/1902593.1902600
LanguageEnglish
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