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Patterns of saliency and semantic features distinguish gaze of expert and novice viewers of surveillance footage.

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Title: Patterns of saliency and semantic features distinguish gaze of expert and novice viewers of surveillance footage.
Authors: Peng Y; School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China. yujia_peng@pku.edu.cn.; Institute for Artificial Intelligence, Peking University, Beijing, China. yujia_peng@pku.edu.cn.; National Key Laboratory of General Artificial Intelligence, Beijing Institute for General Artificial Intelligence, Beijing, China. yujia_peng@pku.edu.cn.; Department of Psychology, University of California, Los Angeles, CA, USA. yujia_peng@pku.edu.cn., Burling JM; Department of Psychology, University of California, Los Angeles, CA, USA., Todorova GK; School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK., Neary C; School of Health and Social Wellbeing, The University of the West of England, Bristol, UK., Pollick FE; School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK., Lu H; Department of Psychology, University of California, Los Angeles, CA, USA.; Department of Statistics, University of California, Los Angeles, CA, USA.
Source: Psychonomic bulletin & review [Psychon Bull Rev] 2024 Aug; Vol. 31 (4), pp. 1745-1758. Date of Electronic Publication: 2024 Jan 25.
Publication Type: Journal Article
Journal Info: Publisher: Springer] Country of Publication: United States NLM ID: 9502924 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1531-5320 (Electronic) Linking ISSN: 10699384 NLM ISO Abbreviation: Psychon Bull Rev Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Peng+Y%22">Peng Y</searchLink>; School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China. yujia_peng@pku.edu.cn.; Institute for Artificial Intelligence, Peking University, Beijing, China. yujia_peng@pku.edu.cn.; National Key Laboratory of General Artificial Intelligence, Beijing Institute for General Artificial Intelligence, Beijing, China. yujia_peng@pku.edu.cn.; Department of Psychology, University of California, Los Angeles, CA, USA. yujia_peng@pku.edu.cn.<br /><searchLink fieldCode="AU" term="%22Burling+JM%22">Burling JM</searchLink>; Department of Psychology, University of California, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Todorova+GK%22">Todorova GK</searchLink>; School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK.<br /><searchLink fieldCode="AU" term="%22Neary+C%22">Neary C</searchLink>; School of Health and Social Wellbeing, The University of the West of England, Bristol, UK.<br /><searchLink fieldCode="AU" term="%22Pollick+FE%22">Pollick FE</searchLink>; School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK.<br /><searchLink fieldCode="AU" term="%22Lu+H%22">Lu H</searchLink>; Department of Psychology, University of California, Los Angeles, CA, USA.; Department of Statistics, University of California, Los Angeles, CA, USA.
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        Value: 10.3758/s13423-024-02454-y
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              Text: 2024 Aug
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