Howard, CJ, Gilchrist, ID, Troscianko, T et al. (2 more authors) (2011) Task relevance predicts gaze in videos of real moving scenes. Experimental Brain Research, 214 (1). 131 - 137 . ISSN 0014-4819
Abstract
Low-level stimulus salience and task relevance together determine the human fixation priority assigned to scene locations (Fecteau and Munoz in Trends Cogn Sci 10(8):382–390, 2006). However, surprisingly little is known about the contribution of task relevance to eye movements during real-world visual search where stimuli are in constant motion and where the ‘target’ for the visual search is abstract and semantic in nature. Here, we investigate this issue when participants continuously search an array of four closed-circuit television (CCTV) screens for suspicious events. We recorded eye movements whilst participants watched real CCTV footage and moved a joystick to continuously indicate perceived suspiciousness. We find that when multiple areas of a display compete for attention, gaze is allocated according to relative levels of reported suspiciousness. Furthermore, this measure of task relevance accounted for twice the amount of variance in gaze likelihood as the amount of low-level visual changes over time in the video stimuli.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Visual search, Scene perception, Eye movements, Attention |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Mar 2013 09:55 |
Last Modified: | 04 Nov 2016 03:47 |
Published Version: | http://dx.doi.org/10.1007/s00221-011-2812-y |
Status: | Published |
Publisher: | Springer Berlin/Heidelberg |
Identification Number: | 10.1007/s00221-011-2812-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:75316 |