Understanding Individual Differences in Eye Movement Pattern During Scene Perception through Co-Clustering of Hidden Markov Models
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | COGSCI'19 - Creativity + Cognition + Computation |
Subtitle of host publication | Proceedings of the 41st Annual Meeting of the Cognitive Science Society |
Place of Publication | Montreal |
Pages | 3283 |
Publication status | Published - Jul 2019 |
Conference
Title | 41st Annual Meeting of the Cognitive Science Society (CogSci 2019) |
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Place | Canada |
City | Montreal |
Period | 24 - 27 July 2019 |
Link(s)
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(adf7c318-67af-4c7c-bc87-c7fa81e4ca7b).html |
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Abstract
Here we combined the Eye Movement analysis with Hidden Markov Models (EMHMM) method with the data mining technique co-clustering to discover participant groups with consistent eye movement patterns across stimuli during scene perception. We discovered explorative (switching between foreground and background information) and focused (mainly on foreground) eye movement strategy groups among Asian participants. In contrast to previous research suggesting a cultural difference where Asians adopted explorative and Caucasians used focused eye movement strategies, we found that explorative patterns were associated with better foreground object recognition performance whereas focused patterns were associated with better feature integration in the flanker task and higher preference rating of the scenes. In addition, images with a salient foreground object relative to the background induced larger individual differences in eye movements. Thus, eye movements in scene perception not only contribute to scene recognition performance, but also reflects individual differences in cognitive ability and scene preference.
Bibliographic Note
Information for this record is supplemented by the author(s) concerned.
Citation Format(s)
Understanding Individual Differences in Eye Movement Pattern During Scene Perception through Co-Clustering of Hidden Markov Models. / Hsiao, Janet; Chan, Kin Yan; Du, Yuefeng et al.
COGSCI'19 - Creativity + Cognition + Computation: Proceedings of the 41st Annual Meeting of the Cognitive Science Society. Montreal, 2019. p. 3283.
COGSCI'19 - Creativity + Cognition + Computation: Proceedings of the 41st Annual Meeting of the Cognitive Science Society. Montreal, 2019. p. 3283.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review