Efficiency of a Visual Search Explained by the Small-World Features of a Gaze Position Network
Author:
Affiliation:
1. Graduate School of Science and Technology, Niigata University
2. Graduate School of Engineering Science, Osaka University
3. National Institute of Technology, Toyama College
Publisher
Japanese Society for Medical and Biological Engineering
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering,Biomaterials,Biotechnology
Link
https://www.jstage.jst.go.jp/article/abe/12/0/12_12_37/_pdf
Reference54 articles.
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3. 3. Drew T, Boettcher SEP, Wolfe JM: One visual search, many memory searches: An eye-tracking investigation of hybrid search. J Vis. 17(11), 5, 2017.
4. 4. Becker SI: Determinants of dwell time in visual search: similarity or perceptual difficulty?. PLoS One. 6(3), e17740, 2011.
5. 5. Dewhurst R, Foulsham T, Jarodzka H, Johansson R, Holmqvist K, Nystrom M: How task demands influence scanpath similarity in a sequential number search task. Vision Res. 149, 9–23, 2018.
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