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Personalizing the theme park: psychometric profiling and physiological monitoring

Rennick-Egglestone, Stefan; Whitbrook, Amanda; Leygue, Caroline; Greensmith, Julie; Walker, Brendan; Benford, Steve; Schn�delbach, Holger; Reeves, Stuart; Marshall, Joe; Kirk, David; Tennent, Paul; Irune, Ainoje; Rowland, Duncan

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Authors

Stefan Rennick-Egglestone

Amanda Whitbrook

Caroline Leygue

Brendan Walker

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STEVE BENFORD steve.benford@nottingham.ac.uk
Dunford Chair in Computer Science

Holger Schn�delbach

Joe Marshall

David Kirk

Ainoje Irune

Duncan Rowland



Contributors

Joseph A. Konstan
Editor

Ricardo Conejo
Editor

Jos� L. Marzo
Editor

Nuria Oliver
Editor

Abstract

Theme parks are important and complex forms of entertainment, with a broad user-base, and with a substantial economic impact. In this paper, we present a case study of an existing theme park, and use this to motivate two research challenges in relation to user-modeling and personalization in this environment: developing recommender systems to support theme park visits, and developing rides that are personalized to the users who take part in them. We then provide an analysis, drawn from a real-world study on an existing ride, which illustrates the efficacy of psychometric profiling and physiological monitoring in relation to these challenges. We conclude by discussing further research work that could be carried out within the theme park, but motivate this research by considering the broader contribution to user-modeling issues that it could make. As such, we present the theme park as a microcosm which is amenable to research, but which is relevant in a much broader setting.

Citation

Rennick-Egglestone, S., Whitbrook, A., Leygue, C., Greensmith, J., Walker, B., Benford, S., …Rowland, D. (2011). Personalizing the theme park: psychometric profiling and physiological monitoring. In J. A. Konstan, R. Conejo, J. L. Marzo, & N. Oliver (Eds.), User modeling, adaption, and personalization: 19th international conference, UMAP 2011, Girona, Spain, July 11-15, 2011: proceedings. Springer. https://doi.org/10.1007/978-3-642-22362-4_24

Publication Date Jul 5, 2011
Deposit Date Nov 25, 2011
Publicly Available Date Mar 28, 2024
Peer Reviewed Peer Reviewed
Issue 6787
Series Title Lecture notes in computer science
Book Title User modeling, adaption, and personalization: 19th international conference, UMAP 2011, Girona, Spain, July 11-15, 2011: proceedings
ISBN 9783642223617
DOI https://doi.org/10.1007/978-3-642-22362-4_24
Public URL https://nottingham-repository.worktribe.com/output/707836
Publisher URL http://www.springerlink.com/content/f1w7mkn711302527/
Additional Information The original publication is available at www.springerlink.com

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