{"pk":25448,"title":"Hidden Markov model analysis reveals better eye movement strategies in face\nrecognition","subtitle":null,"abstract":"Here we explored eye movement strategies that lead to better\nperformance in face recognition with hidden Markov models\n(HMMs). Participants performed a standard face recognition\nmemory task with eye movements recorded. The durations\nand locations of the fixations were analyzed using HMMs for\nboth the study and the test phases. Results showed that in the\nstudy phase, the participants who looked more often at the\neyes and shifted between different regions on the face with\nlong fixation durations had better performances. The test\nphase analyses revealed that an efficient, short first orienting\nfixation followed by a more analytic pattern focusing mainly\non the eyes led to better performances. These strategies could\nnot be revealed by analysis methods that do not take individual\ndifferences in both temporal and spatial dimensions of eye\nmovements into account, demonstrating the power of the\nHMM approach.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"hidden Markov model; fixation duration; eye\nmovement; face recognition"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/54t0b5zp","frozenauthors":[{"first_name":"Tim","middle_name":"","last_name":"Chuk","name_suffix":"","institution":"Department of Psychology, The University of Hong Kong","department":""},{"first_name":"Antoni","middle_name":"B","last_name":"Chan","name_suffix":"","institution":"Department of Computer Science, City University of Hong Kong","department":""},{"first_name":"Janet","middle_name":"","last_name":"Hsiao","name_suffix":"","institution":"Department of Psychology, The University of Hong Kong","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2015-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/25448/galley/15072/download/"}]}