September 2011
Volume 11, Issue 11
Vision Sciences Society Annual Meeting Abstract  |   September 2011
Eye Movement in Face Change Detection Task
Author Affiliations
  • Buyun Xu
    Department of Psychology, University of Victoria, Canada
  • James Tanaka
    Department of Psychology, University of Victoria, Canada
Journal of Vision September 2011, Vol.11, 678. doi:10.1167/11.11.678
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      Buyun Xu, James Tanaka; Eye Movement in Face Change Detection Task. Journal of Vision 2011;11(11):678. doi: 10.1167/11.11.678.

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      © ARVO (1962-2015); The Authors (2016-present)

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Unlike reading or scene perception, the utility of eye tracking for purposes of studying face processes is limited given that recognition typically occurs within one or two saccades. However, if processing time is extended for a longer duration, eye tracking can be useful for uncovering the strategies mediating face discrimination decisions. To achieve this, we employed a change detection paradigm where two faces were continuously presented with an intervening noise mask until the participant made a “same” or “different” response. The faces were either identical or differed in their featural or configural properties and shown in their upright and inverted orientations. Featural differences were either in the size of the eyes or the mouth. Configural differences were either in the horizontal distance between the eyes or vertical distance between nose and mouth. Eye movements were analyzed in terms of the location of the first fixation, location of last fixation and location of aggregate fixations. Initial fixations to upright face were predominantly directed to the eye area whereas first fixations to inverted face were equally distributed to eyes and the nose area. In terms of accuracy, inversion differentially impaired the detection of featural and configural changes in mouth region than the eye region even though more and longer eye fixations were allocated to this area. Overall, the nose was attended to more on configural change trials than on featural change trails regardless of the orientation. The analysis of last fixations revealed that changes were more likely to be detected if the last fixation was located in the region where the change occurred indicating that the eye movement behavior was predictive of change detection performance. In short, this study showed that face strategies are accurately reflected in eye movement behaviors when the task is self-paced and requires additional processing time.

This research was funded by grants from the James S. McDonnell Foundation, the National Science Foundation (#SBE-0542013), and the National Sciences and Engineering Research Council of Canada. 

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