{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:18:44Z","timestamp":1759033124423,"version":"3.28.0"},"reference-count":18,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2007,9,1]],"date-time":"2007-09-01T00:00:00Z","timestamp":1188604800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cognitive Science"],"published-print":{"date-parts":[[2007,9,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Color coding is used to guide attention in computer displays for such critical tasks as baggage screening or air traffic control. It has been shown that a display object attracts more attention if its color is more similar to the color for which one is searching. However, what does <jats:italic>similar<\/jats:italic> precisely mean? Can we predict the amount of attention that a display color will receive during a search for a given target color? To tackle this question, two color\u2010search experiments measuring the selectivity of saccadic eye movements and mapping out its underlying color space were conducted. A variety of mathematical models, predicting saccadic selectivity for given target and display colors, were devised and evaluated. The results suggest that applying a Gaussian function to a weighted Euclidean distance in a slightly modified HSI color space is the best predictor of saccadic selectivity in the chosen paradigm. Hue and intensity information by itself provides a basis for useful predictors, spanning a possibly spherical color space of saccadic selectivity. Although the current models cannot predict saccadic selectivity values for a wide variety of visual search tasks, they reveal some characteristics of color search that are of both theoretical and applied interest, such as for the design of human\u2013computer interfaces.<\/jats:p>","DOI":"10.1080\/03640210701530789","type":"journal-article","created":{"date-parts":[[2008,4,18]],"date-time":"2008-04-18T18:25:43Z","timestamp":1208543143000},"page":"877-887","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Mapping the Color Space of Saccadic Selectivity in Visual Search"],"prefix":"10.1111","volume":"31","author":[{"given":"Yun","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emily C.","family":"Higgins","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mei","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Pomplun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,9]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0042-6989(95)00207-3"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(98)00302-2"},{"volume-title":"Basic color terms: Their universality and evolution","year":"1969","author":"Berlin B.","key":"e_1_2_6_4_1"},{"volume-title":"Multidimensional scaling","year":"2001","author":"Cox M. 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