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  • Title: An inter-item similarity model unifying feature and conjunction search.
    Author: Phillips S, Takeda Y, Kumada T.
    Journal: Vision Res; 2006 Oct; 46(22):3867-80. PubMed ID: 16920177.
    Abstract:
    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.
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