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dc.contributor.authorMauderer, Michael
dc.contributor.authorFlatla, David R.
dc.contributor.authorNacenta Sanchez, Miguel Angel
dc.date.accessioned2016-07-19T15:30:16Z
dc.date.available2016-07-19T15:30:16Z
dc.date.issued2016-05-07
dc.identifier.citationMauderer , M , Flatla , D R & Nacenta Sanchez , M A 2016 , Gaze-contingent manipulation of color perception . in Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems . ACM , New York , pp. 5191-5202 , 2016 CHI Conference on Human Factors in Computing Systems (CHI'16) , San Jose, CA , California , United States , 7/05/16 . https://doi.org/10.1145/2858036.2858320en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450333627
dc.identifier.otherPURE: 243386423
dc.identifier.otherPURE UUID: d0ba3328-c64b-4220-a86d-e99b7c80d540
dc.identifier.otherScopus: 85015108121
dc.identifier.otherORCID: /0000-0002-9864-9654/work/34034533
dc.identifier.otherWOS: 000380532905016
dc.identifier.urihttps://hdl.handle.net/10023/9172
dc.description.abstractUsing real time eye tracking, gaze-contingent displays can modify their content to represent depth (e.g., through additional depth cues) or to increase rendering performance (e.g., by omitting peripheral detail). However, there has been no research to date exploring how gaze-contingent displays can be leveraged for manipulating perceived color. To address this, we conducted two experiments (color matching and sorting) that manipulated peripheral background and object colors to influence the user's color perception. Findings from our color matching experiment suggest that we can use gaze-contingent simultaneous contrast to affect color appearance and that existing color appearance models might not fully predict perceived colors with gaze-contingent presentation. Through our color sorting experiment we demonstrate how gaze-contingent adjustments can be used to enhance color discrimination. Gaze-contingent color holds the promise of expanding the perceived color gamut of existing display technology and enabling people to discriminate color with greater precision.
dc.format.extent12
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofProceedings of the 2016 CHI Conference on Human Factors in Computing Systemsen
dc.rights© Michael Mauderer, David R. Flatla, Miguel A. Nacenta 2016. This is the author’s version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2016 (CHI ’16) DOI: http://dx.doi.org/10.1145/2858036.2858320en
dc.subjectEye trackingen
dc.subjectGaze-contingent displaysen
dc.subjectColor perceptionen
dc.subjectSimultaneous contrasten
dc.subjectLocal contrast enhancementen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectDASen
dc.subject.lccQA75en
dc.titleGaze-contingent manipulation of color perceptionen
dc.typeConference itemen
dc.contributor.sponsorEuropean Commissionen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1145/2858036.2858320
dc.date.embargoedUntil2016-05-07
dc.identifier.grantnumberFP7-PEOPLE-2011-CIGen


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