Attentional cartography: mapping the distribution of attention across time and space
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  • 作者:J. Eric T. Taylor ; David Chan ; Patrick J. Bennett…
  • 关键词:Attentional capture ; Space ; based attention ; Object ; based attention
  • 刊名:Attention, Perception, & Psychophysics
  • 出版年:2015
  • 出版时间:October 2015
  • 年:2015
  • 卷:77
  • 期:7
  • 页码:2240-2246
  • 全文大小:923 KB
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  • 作者单位:J. Eric T. Taylor (1)
    David Chan (1)
    Patrick J. Bennett (2)
    Jay Pratt (1)

    1. University of Toronto, 100 St. George St., Toronto, Ontario, M5S 3G3, Canada
    2. McMaster University, Hamilton, Ontario, Canada
  • 刊物主题:Cognitive Psychology;
  • 出版者:Springer US
  • ISSN:1943-393X
文摘
Decades of research have shown that the orienting of attention follows a reliable pattern of facilitation and then inhibition following a peripheral cue. However, the literature lacks a high-resolution spatiotemporal map of this pattern. Moreover, the use of visual placeholders to highlight potential stimulus locations is inconsistent. This is puzzling, given attention’s well-known predilection for objects. In this article, we remedy these outstanding issues with a large-scale investigation charting the spatiotemporal distribution of attention. Participants detected targets presented at 121 possible locations 100, 200, 400, or 800 ms following an uninformative peripheral cue. The cued locations were presented with or without placeholders. With placeholders, the classic pattern of early facilitation and late inhibition was observed for targets appearing within the placeholders, and the spread of inhibition was severely limited to within the placeholders. Without placeholders, we observed inhibition shortly after cue presentation, upsetting the famously reliable effect of facilitation following a cue. Moreover, inhibition spread from the cued location, unlike when placeholders were present. This investigation has produced an eminently detailed spatiotemporal map of attentional orienting and illustrated the consequences of placeholder stimuli, with surprising results. Keywords Attentional capture Space-based attention Object-based attention

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