![]() ![]() ![]() We also tracked their eye movements and recorded as temporal chains their eye fixation points using an eye-tracking system. We obtained a quantitative hit rate score for each stimulus and subject. ![]() With these visual stimuli, we conducted a simple face recognition experiment, and subjects judged whether they had seen the faces before. We used a set of computer-generated faces that included both the images of actual faces and synthetic images obtained by slightly transforming the impressions of the original faces. We formulated the statistical nature of their eye movements from a machine-learning perspective by applying a hidden Markov model (HMM). We investigated the relationship between the face recognition performance of individuals and their eye movement characteristics that were measured while each subject observed the faces that were displayed on a screen. ![]()
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January 2023
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