論文

査読有り
2006年10月

An inter-item similarity model unifying feature and conjunction search

VISION RESEARCH
  • Steven Phillips
  • ,
  • Yuji Takeda
  • ,
  • Takatsune Kumada

46
22
開始ページ
3867
終了ページ
3880
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.visres.2006.06.016
出版者・発行元
PERGAMON-ELSEVIER SCIENCE LTD

We propose a model of visual search to address the hitherto unresolved issue of reconciling serial deployment of attention accounts with inter-item similarity effects. Target-distractor and distractor-distractor similarity were systematically varied in 85 (17x5) set type size conditions over seven experiments, including univariate feature and bivariate conjunction search. The model, a power (square root) function of dimension-specific target-distractor and distractor-distractor similarity in linear combination with set size, accounted for 98% of the variance on type-size means. It suggests that much of efficient and inefficient search can be unified under a single theory involving item similarity. (c) 2006 Elsevier Ltd. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.visres.2006.06.016
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201102236217235409
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/16920177
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000241597700013&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.visres.2006.06.016
  • ISSN : 0042-6989
  • eISSN : 1878-5646
  • J-Global ID : 201102236217235409
  • PubMed ID : 16920177
  • Web of Science ID : WOS:000241597700013

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