Personalizing the theme park: psychometric profiling and physiological monitoring
Rennick-Egglestone, Stefan and Whitbrook, Amanda and Leygue, Caroline and Greensmith, Julie and Walker, Brendan and Benford, Steve and Schnädelbach, Holger and Reeves, Stuart and Marshall, Joe and Kirk, David and Tennent, Paul and Irune, Ainoje and Rowland, Duncan (2011) Personalizing the theme park: psychometric profiling and physiological monitoring. In: User modeling, adaption, and personalization: 19th international conference, UMAP 2011, Girona, Spain, July 11-15, 2011: proceedings. Lecture notes in computer science (6787). Springer, Berlin, pp. 281-292. ISBN 9783642223617
Official URL: http://www.springerlink.com/content/f1w7mkn711302527/
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.
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