Understanding the association between eye movement patterns and face recognition performance using hidden Markov models
Grant Data
Project Title
Understanding the association between eye movement patterns and face recognition performance using hidden Markov models
Principal Investigator
Dr Hsiao, Janet Hui Wen
(Principal Investigator (PI))
Co-Investigator(s)
Dr Chan Antoni B.
(Co-Investigator)
Duration
42
Start Date
2018-01-01
Amount
494702
Conference Title
Understanding the association between eye movement patterns and face recognition performance using hidden Markov models
Presentation Title
Keywords
eye movement, face recognition, hidden Markov model
Discipline
Psychology,Artificial Intelligence and Machine learning
Panel
Humanities & Social Sciences (H)
HKU Project Code
17609117
Grant Type
General Research Fund (GRF)
Funding Year
2017
Status
Completed
Objectives
1 To use our HMM-based approach for eye movement data analysis to examine the association between eye movements and performance in recognition tasks that have important real-life implications such as face matching and facial expression judgments. 2 To develop a new model that includes perceived image content to better capture what information participants use in recognition tasks. 3 To investigate whether we can train participants to use eye movement strategies that lead to better performances in face recognition. 4 To investigate the modulation of affective state on eye movement patterns and performance in face recognition.