Browsing by Author Chan, AB

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TitleAuthor(s)Issue DateViews
 
Analytic eye movement patterns in face recognition are associated with better performance and more top-down control of visual attention: an fMRI study
Proceeding/Conference:Proceedings of the 38th Annual Conference of the Cognitive Science Society, CogSci 2016
2016
152
 
2017
40
 
2014
175
2018
33
 
EMHMM: Eye Movement Analysis with Hidden Markov Models and Its Applications in Cognitive Research
Proceeding/Conference:The 41st Annual Conference of the Cognitive Science Society
2019
4
 
2019
2
 
Eye Movement Pattern in Face Recognition is Associated with Cognitive Decline in the Elderly
Proceeding/Conference:International Alzheimer's Disease Conference
2015
32
 
Eye movement pattern in face recognition is associated with cognitive decline in the elderly
Proceeding/Conference:Proceedings of the 37th Annual Conference of the Cognitive Science Society, CogSci 2015
2015
102
2018
31
 
2018
39
 
Global and local priming evoke different face processing strategies: evidence from an eye movement study
Proceeding/Conference:Annual Meeting of Vision Sciences Society, VSS 2015
2015
62
 
Hidden Markov model analysis reveals better eye movement strategies in face recognition
Proceeding/Conference:Proceedings of the 37th Annual Conference of the Cognitive Science Society, CogSci 2015
2015
60
 
2017
51
 
Hidden Markov modeling of eye movements with image information leads to better discovery of regions of interest
Proceeding/Conference:Proceedings of the 38th Annual Conference of the Cognitive Science Society, CogSci 2016
2016
81
 
2019
9
 
2018
45
 
2016
54
Insomniacs misidentify angry faces as fearful faces because of missing the eyes: An eye-tracking study
Proceeding/Conference:Annual Conference of the Cognitive Science Society, CogSci 2017
2017
36
 
2017
29
 
Mind reading: discovering individual preferences from eye movements using switching hidden Markov models
Proceeding/Conference:Proceedings of the 38th Annual Conference of the Cognitive Science Society, CogSci 2016
2016
69