Recommending rides: psychometric profiling in the theme park
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 collabo...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Published: |
ACM
2010
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| Online Access: | https://eprints.nottingham.ac.uk/1561/ |
| _version_ | 1848790629791825920 |
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| author | Rennick-Egglestone, Stefan Whitbrook, Amanda Greensmith, Julie Walker, Brendan Benford, Steve Marshall, Joe Kirk, David Schnädelbach, Holger Irune, Ainoje Rowland, Duncan |
| author_facet | Rennick-Egglestone, Stefan Whitbrook, Amanda Greensmith, Julie Walker, Brendan Benford, Steve Marshall, Joe Kirk, David Schnädelbach, Holger Irune, Ainoje Rowland, Duncan |
| author_sort | Rennick-Egglestone, Stefan |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:15:39Z |
| format | Article |
| id | nottingham-1561 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:15:39Z |
| publishDate | 2010 |
| publisher | ACM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-15612020-05-04T16:29:55Z https://eprints.nottingham.ac.uk/1561/ Recommending rides: psychometric profiling in the theme park Rennick-Egglestone, Stefan Whitbrook, Amanda Greensmith, Julie Walker, Brendan Benford, Steve Marshall, Joe Kirk, David Schnädelbach, Holger Irune, Ainoje Rowland, Duncan 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. ACM 2010-12-01 Article PeerReviewed 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). http://doi.acm.org/10.1145/1902593.1902600 doi:10.1145/1902593.1902600 doi:10.1145/1902593.1902600 |
| spellingShingle | Rennick-Egglestone, Stefan Whitbrook, Amanda Greensmith, Julie Walker, Brendan Benford, Steve Marshall, Joe Kirk, David Schnädelbach, Holger Irune, Ainoje Rowland, Duncan Recommending rides: psychometric profiling in the theme park |
| title | Recommending rides: psychometric profiling in the theme park |
| title_full | Recommending rides: psychometric profiling in the theme park |
| title_fullStr | Recommending rides: psychometric profiling in the theme park |
| title_full_unstemmed | Recommending rides: psychometric profiling in the theme park |
| title_short | Recommending rides: psychometric profiling in the theme park |
| title_sort | recommending rides: psychometric profiling in the theme park |
| url | https://eprints.nottingham.ac.uk/1561/ https://eprints.nottingham.ac.uk/1561/ https://eprints.nottingham.ac.uk/1561/ |