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Conference Paper: Does face-drawing experience enhance face processing abilities? Evidence from hidden Markov modeling of eye movements

TitleDoes face-drawing experience enhance face processing abilities? Evidence from hidden Markov modeling of eye movements
Authors
Issue Date2018
PublisherAssociation for Research in Vision and Ophthalmology. The Journal's web site is located at http://wwwjournalofvisionorg/
Citation
18th Annual Meeting of Vision Sciences Society (VSS 2018), St. Pete Beach, Florida, USD, 18-23 May 2018. Meeting Abstracts in Journal of Vision, 2018, v. 18 n. 10, abstract no. 561 How to Cite?
AbstractRecent research has suggested the importance of part-based information in face recognition in addition to global information. Consistent with this finding, eye movement patterns that focus on individual eyes in addition to the face center (analytic patterns) were associated with better recognition performance (Chuk et al., 2017). Nevertheless, face drawing experience was reported to enhance selective attention to face parts but not face recognition performance (Zhou et al., 2012; Tree et al., 2017), presenting a counter example. Here we examined whether eye movement patterns and performances in simultaneous face matching, face recognition (old/new judgment), and part-whole effect (whole face advantage) were modulated by face drawing experience through the Eye Movement analysis with Hidden Markov Models (EMHMM) approach. This approach summarizes an individual's eye movements in terms of personalized regions of interest (ROIs) and transition probabilities among the ROIs using a hidden Markov model (HMM), and similarities among individual HMMs can be quantitatively assessed through log-likelihood measures. We recruited 39 face artists and 39 matched novices. Through clustering participants' eye movement HMMs, we discovered analytic (focusing more on the eyes) and holistic patterns (focusing more on the face center) in all three tasks. Face artists adopted patterns that were more analytic and had better performance than novices in face matching, and participants' drawing ratings were correlated with both eye movement similarity to analytic patterns and face matching performance. In contrast, although in general analytic patterns were associated with better face recognition performance and increased part advantage, artists and novices did not differ in eye movements, recognition performance, or part-whole effect. These results confirm the importance of retrieving part-based information in addition to global information through analytic eye movement patterns in face processing, and suggest that face artists' advantage in face processing is limited to perceptual judgments similar to their drawing experience.
Persistent Identifierhttp://hdl.handle.net/10722/265195
ISSN
2017 Impact Factor: 2.266
2015 SCImago Journal Rankings: 1.042

 

DC FieldValueLanguage
dc.contributor.authorHsiao, JHW-
dc.contributor.authorChan, HF-
dc.contributor.authorLi, TK-
dc.contributor.authorChan, AB-
dc.date.accessioned2018-11-20T02:01:58Z-
dc.date.available2018-11-20T02:01:58Z-
dc.date.issued2018-
dc.identifier.citation18th Annual Meeting of Vision Sciences Society (VSS 2018), St. Pete Beach, Florida, USD, 18-23 May 2018. Meeting Abstracts in Journal of Vision, 2018, v. 18 n. 10, abstract no. 561-
dc.identifier.issn1534-7362-
dc.identifier.urihttp://hdl.handle.net/10722/265195-
dc.description.abstractRecent research has suggested the importance of part-based information in face recognition in addition to global information. Consistent with this finding, eye movement patterns that focus on individual eyes in addition to the face center (analytic patterns) were associated with better recognition performance (Chuk et al., 2017). Nevertheless, face drawing experience was reported to enhance selective attention to face parts but not face recognition performance (Zhou et al., 2012; Tree et al., 2017), presenting a counter example. Here we examined whether eye movement patterns and performances in simultaneous face matching, face recognition (old/new judgment), and part-whole effect (whole face advantage) were modulated by face drawing experience through the Eye Movement analysis with Hidden Markov Models (EMHMM) approach. This approach summarizes an individual's eye movements in terms of personalized regions of interest (ROIs) and transition probabilities among the ROIs using a hidden Markov model (HMM), and similarities among individual HMMs can be quantitatively assessed through log-likelihood measures. We recruited 39 face artists and 39 matched novices. Through clustering participants' eye movement HMMs, we discovered analytic (focusing more on the eyes) and holistic patterns (focusing more on the face center) in all three tasks. Face artists adopted patterns that were more analytic and had better performance than novices in face matching, and participants' drawing ratings were correlated with both eye movement similarity to analytic patterns and face matching performance. In contrast, although in general analytic patterns were associated with better face recognition performance and increased part advantage, artists and novices did not differ in eye movements, recognition performance, or part-whole effect. These results confirm the importance of retrieving part-based information in addition to global information through analytic eye movement patterns in face processing, and suggest that face artists' advantage in face processing is limited to perceptual judgments similar to their drawing experience.-
dc.languageeng-
dc.publisherAssociation for Research in Vision and Ophthalmology. The Journal's web site is located at http://wwwjournalofvisionorg/-
dc.relation.ispartofJournal of Vision-
dc.relation.ispartofAnnual Meeting of Vision Sciences Society (VSS)-
dc.titleDoes face-drawing experience enhance face processing abilities? Evidence from hidden Markov modeling of eye movements-
dc.typeConference_Paper-
dc.identifier.emailHsiao, JHW: jhsiao@hku.hk-
dc.identifier.authorityHsiao, JHW=rp00632-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1167/18.10.561-
dc.identifier.hkuros295946-
dc.identifier.volume18-
dc.identifier.issue10-
dc.identifier.spage561-
dc.identifier.epage561-
dc.publisher.placeUnited States-

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