September 2015
Volume 15, Issue 12
Vision Sciences Society Annual Meeting Abstract  |   September 2015
Faster than the speed of rejection: Object identification processes during visual search for multiple targets
Author Affiliations
  • Michael Hout
    Department of Psychology, New Mexico State University
  • Hayward Godwin
    School of Psychology, University of Southampton (UK)
  • Steven Walenchok
    Department of Psychology, Arizona State University
  • Joseph Houpt
    Department of Psychology, Wright State University
  • Stephen Goldinger
    Department of Psychology, Arizona State University
Journal of Vision September 2015, Vol.15, 241. doi:
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      Michael Hout, Hayward Godwin, Steven Walenchok, Joseph Houpt, Stephen Goldinger; Faster than the speed of rejection: Object identification processes during visual search for multiple targets. Journal of Vision 2015;15(12):241.

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

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When engaged in a visual search for two targets, participants are slower and less accurate in their responses, relative to their performance when searching for singular targets. Previous work on this “dual-target cost” has primarily focused on the breakdown of attention guidance when looking for two items. Here, we investigated how object identification processes are affected by dual-target search. Our goal was to chart the speed at which distractors could be rejected, in order to assess whether dual-target search impairs object identification. To do so, we examined the capacity coefficient, which measures the speed at which decisions can be made, and provides a baseline of parallel performance against which to compare. We found that participants could search at or above this baseline, suggesting that dual-target search does not impair object identification abilities. We also found substantial differences in performance when participants were asked to search for simple versus complex images. Somewhat paradoxically, participants were able to reject complex images more rapidly than simple images. We suggest that this reflects the greater number of features that can be used to identify complex images, a finding that has important consequences for understanding object identification in visual search more generally.

Meeting abstract presented at VSS 2015


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