August 2010
Volume 10, Issue 7
Free
Vision Sciences Society Annual Meeting Abstract  |   August 2010
Asymmetry in visual search for local biological motion signals
Author Affiliations
  • Li Wang
    Institute of Psychology, Chinese Academy of Sciences
    Graduate School, Chinese Academy of Sciences
  • Kan Zhang
    Institute of Psychology, Chinese Academy of Sciences
  • Sheng He
    Department of Psychology, University of Minnesota
  • Yi Jiang
    Institute of Psychology, Chinese Academy of Sciences
Journal of Vision August 2010, Vol.10, 782. doi:10.1167/10.7.782
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      Li Wang, Kan Zhang, Sheng He, Yi Jiang; Asymmetry in visual search for local biological motion signals. Journal of Vision 2010;10(7):782. doi: 10.1167/10.7.782.

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Abstract

The visual search paradigm has been widely used to study the mechanisms underlying visual attention, and search asymmetry provides a source of insight into preattentive visual features. In the current study, we showed that observers were more efficient in searching for a spatially scrambled (or feet only) upright biological motion target among spatially scrambled (or feet only) inverted distractors than vice versa, suggesting that local biological motion signals can act as a basic preattentive feature for the human visual system. Interestingly, such search asymmetry disappeared when the global configuration in biological motion was kept intact, indicating that the attentional effects arising from biological features (e.g., local motion signals) and global novelty (e.g., inverted human figure) could interact and modulate visual search. Our findings provide strong evidence for local biological motion processing independent of global configuration, and shed new light on the mechanism of visual search asymmetry.

Wang, L. Zhang, K. He, S. Jiang, Y. (2010). Asymmetry in visual search for local biological motion signals [Abstract]. Journal of Vision, 10(7):782, 782a, http://www.journalofvision.org/content/10/7/782, doi:10.1167/10.7.782. [CrossRef]
Footnotes
 This research was supported by the Knowledge Innovation Program of Chinese Academy of Sciences (KSCX2-YW-R-248 and 09CX202020), Chinese Ministry of Science and Technology (No. 2007CB512300), and the US National Science Foundation.
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