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Conference Paper: Analytic eye movement patterns in face recognition are associated with better performance and more top-down control of visual attention: an fMRI study
Title | Analytic eye movement patterns in face recognition are associated with better performance and more top-down control of visual attention: an fMRI study |
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Authors | |
Keywords | Eye movement Functional magnetic resonance imaging (fMRI) Face recognition Analytic patterns Hidden Markov Model (HMM) Top-down visual attention |
Issue Date | 2016 |
Publisher | Cognitive Science Society. The Conference Proceedings' website is located at http://mindmodeling.org/cogsci2016/index.html |
Citation | The 38th Annual Meeting of the Cognitive Science Society (CogSci 2016), Philadelphia, PA., 10-13 August 2016. In Conference Proceedings, 2016, p. 854-859 How to Cite? |
Abstract | Recent research has revealed two different eye movement patterns during face recognition: holistic and analytic. The present study investigated the neural correlates of these two patterns through functional magnetic resonance imaging (fMRI). A more holistic pattern was associated with more activation in the face-selective perceptual areas, including the occipital face area and fusiform face area. In contrast, participants using a more analytic pattern demonstrated more activation in areas important for top-down control of visual attention, including the frontal eye field and intraparietal sulcus. In addition, participants using the analytic patterns had better recognition performance than those showing holistic patterns. These results suggest that analytic eye movement patterns are associated with more engagement of top-down control of visual attention, which may consequently enhance recognition performance. |
Description | Conference Theme: Integrating Psychological, Philosophical, Linguistic, Computational and Neural Perspectives Poster Session 3: no. 57 |
Persistent Identifier | http://hdl.handle.net/10722/232764 |
DC Field | Value | Language |
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dc.contributor.author | Chan, CYH | - |
dc.contributor.author | Wong, JJ | - |
dc.contributor.author | Chan, AB | - |
dc.contributor.author | Lee, TMC | - |
dc.contributor.author | Hsiao, JHW | - |
dc.date.accessioned | 2016-09-20T05:32:09Z | - |
dc.date.available | 2016-09-20T05:32:09Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | The 38th Annual Meeting of the Cognitive Science Society (CogSci 2016), Philadelphia, PA., 10-13 August 2016. In Conference Proceedings, 2016, p. 854-859 | - |
dc.identifier.uri | http://hdl.handle.net/10722/232764 | - |
dc.description | Conference Theme: Integrating Psychological, Philosophical, Linguistic, Computational and Neural Perspectives | - |
dc.description | Poster Session 3: no. 57 | - |
dc.description.abstract | Recent research has revealed two different eye movement patterns during face recognition: holistic and analytic. The present study investigated the neural correlates of these two patterns through functional magnetic resonance imaging (fMRI). A more holistic pattern was associated with more activation in the face-selective perceptual areas, including the occipital face area and fusiform face area. In contrast, participants using a more analytic pattern demonstrated more activation in areas important for top-down control of visual attention, including the frontal eye field and intraparietal sulcus. In addition, participants using the analytic patterns had better recognition performance than those showing holistic patterns. These results suggest that analytic eye movement patterns are associated with more engagement of top-down control of visual attention, which may consequently enhance recognition performance. | - |
dc.language | eng | - |
dc.publisher | Cognitive Science Society. The Conference Proceedings' website is located at http://mindmodeling.org/cogsci2016/index.html | - |
dc.relation.ispartof | Proceedings of the 38th Annual Conference of the Cognitive Science Society, CogSci 2016 | - |
dc.subject | Eye movement | - |
dc.subject | Functional magnetic resonance imaging (fMRI) | - |
dc.subject | Face recognition | - |
dc.subject | Analytic patterns | - |
dc.subject | Hidden Markov Model (HMM) | - |
dc.subject | Top-down visual attention | - |
dc.title | Analytic eye movement patterns in face recognition are associated with better performance and more top-down control of visual attention: an fMRI study | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Wong, JJ: jjwong@hku.hk | - |
dc.identifier.email | Lee, TMC: tmclee@hku.hk | - |
dc.identifier.email | Hsiao, JHW: jhsiao@hku.hk | - |
dc.identifier.authority | Lee, TMC=rp00564 | - |
dc.identifier.authority | Hsiao, JHW=rp00632 | - |
dc.description.nature | postprint | - |
dc.identifier.hkuros | 263210 | - |
dc.identifier.spage | 854 | - |
dc.identifier.epage | 859 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 161007 | - |