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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

TitleAnalytic eye movement patterns in face recognition are associated with better performance and more top-down control of visual attention: an fMRI study
Authors
KeywordsEye movement
Functional magnetic resonance imaging (fMRI)
Face recognition
Analytic patterns
Hidden Markov Model (HMM)
Top-down visual attention
Issue Date2016
PublisherCognitive 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?
AbstractRecent 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.
DescriptionConference Theme: Integrating Psychological, Philosophical, Linguistic, Computational and Neural Perspectives
Poster Session 3: no. 57
Persistent Identifierhttp://hdl.handle.net/10722/232764

 

DC FieldValueLanguage
dc.contributor.authorChan, CYH-
dc.contributor.authorWong, JJ-
dc.contributor.authorChan, AB-
dc.contributor.authorLee, TMC-
dc.contributor.authorHsiao, JHW-
dc.date.accessioned2016-09-20T05:32:09Z-
dc.date.available2016-09-20T05:32:09Z-
dc.date.issued2016-
dc.identifier.citationThe 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.urihttp://hdl.handle.net/10722/232764-
dc.descriptionConference Theme: Integrating Psychological, Philosophical, Linguistic, Computational and Neural Perspectives-
dc.descriptionPoster Session 3: no. 57-
dc.description.abstractRecent 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.languageeng-
dc.publisherCognitive Science Society. The Conference Proceedings' website is located at http://mindmodeling.org/cogsci2016/index.html-
dc.relation.ispartofProceedings of the 38th Annual Conference of the Cognitive Science Society, CogSci 2016-
dc.subjectEye movement-
dc.subjectFunctional magnetic resonance imaging (fMRI)-
dc.subjectFace recognition-
dc.subjectAnalytic patterns-
dc.subjectHidden Markov Model (HMM)-
dc.subjectTop-down visual attention-
dc.titleAnalytic eye movement patterns in face recognition are associated with better performance and more top-down control of visual attention: an fMRI study-
dc.typeConference_Paper-
dc.identifier.emailWong, JJ: jjwong@hku.hk-
dc.identifier.emailLee, TMC: tmclee@hku.hk-
dc.identifier.emailHsiao, JHW: jhsiao@hku.hk-
dc.identifier.authorityLee, TMC=rp00564-
dc.identifier.authorityHsiao, JHW=rp00632-
dc.description.naturepostprint-
dc.identifier.hkuros263210-
dc.identifier.spage854-
dc.identifier.epage859-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 161007-

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