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文章基本信息

  • 标题:Human Vision at a Glance (Invited Talk)
  • 本地全文:下载
  • 作者:Ruth Rosenholtz ; Dian Yu
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2019
  • 卷号:142
  • 页码:1-4
  • DOI:10.4230/LIPIcs.COSIT.2019.1
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:Recent advances in human vision research have pointed toward a theory that unifies many aspects of vision relevant to information visualization. According to this theory, loss of information in peripheral vision determines performance on many visual tasks. This theory subsumes old concepts such as visual saliency, selective attention, and change blindness. It predicts the rich details we have access to at a glance. Furthermore, it provides insight into tasks not commonly studied in human vision, such as ability to comprehend connections in a network diagram, or to compare information in one part of a display with that in another.
  • 关键词:human vision; information visualization; attention; eye movements; peripheral vision; gist; ensemble perception; search; saliency
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