Intarasirisawat, Jittrapol, Ang, Chee Siang, Efstratiou, Christos, Dickens, Luke, Page, Rupert (2019) Exploring the Touch and Motion Features in Game-Based Cognitive Assessments. Journal of Interactive, Mobile, Wearable and Ubiquitous Technologies, 3 (3). Article Number 87. ISSN 2474-9567. (doi:10.1145/3351245) (KAR id:75919)
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| Official URL: http://dx.doi.org/10.1145/3351245 |
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Abstract
Early detection of cognitive decline is important for timely intervention and treatment strategies to prevent further dete- rioration or development of more severe cognitive impairment, as well as identify at risk individuals for research. In this paper, we explore the feasibility of using data collected from built-in sensors of mobile phone and gameplay performance in mobile-game-based cognitive assessments. Twenty-two healthy participants took part in the two-session experiment where they were asked to take a series of standard cognitive assessments followed by playing three popular mobile games in which user-game interaction data were passively collected. The results from bivariate analysis reveal correlations between our proposed features and scores obtained from paper-based cognitive assessments. Our results show that touch gestural interaction and device motion patterns can be used as supplementary features on mobile game-based cognitive measurement. This study provides initial evidence that game related metrics on existing off-the-shelf games have potential to be used as proxies for conventional cognitive measures, specifically for visuospatial function, visual search capability, mental flexibility, memory and attention.
| Item Type: | Article |
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| DOI/Identification number: | 10.1145/3351245 |
| Uncontrolled keywords: | cognitive assessment, serious games, mobile health |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
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| Depositing User: | Jim Ang |
| Date Deposited: | 21 Aug 2019 10:52 UTC |
| Last Modified: | 20 May 2025 10:44 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/75919 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0002-1109-9689
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