2006年10月
An inter-item similarity model unifying feature and conjunction search
VISION RESEARCH
- ,
- ,
- 巻
- 46
- 号
- 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