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Do People “Pop Out”?

Overview of attention for article published in PLOS ONE, October 2015
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Title
Do People “Pop Out”?
Published in
PLOS ONE, October 2015
DOI 10.1371/journal.pone.0139618
Pubmed ID
Authors

Katja M. Mayer, Quoc C. Vuong, Ian M. Thornton

Abstract

The human body is a highly familiar and socially very important object. Does this mean that the human body has a special status with respect to visual attention? In the current paper we tested whether people in natural scenes attract attention and "pop out" or, alternatively, are at least searched for more efficiently than targets of another category (machines). Observers in our study searched a visual array for dynamic or static scenes containing humans amidst scenes containing machines and vice versa. The arrays consisted of 2, 4, 6 or 8 scenes arranged in a circular array, with targets being present or absent. Search times increased with set size for dynamic and static human and machine targets, arguing against pop out. However, search for human targets was more efficient than for machine targets as indicated by shallower search slopes for human targets. Eye tracking further revealed that observers made more first fixations to human than to machine targets and that their on-target fixation durations were shorter for human compared to machine targets. In summary, our results suggest that searching for people in natural scenes is more efficient than searching for other categories even though people do not pop out.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Luxembourg 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 32%
Student > Bachelor 4 13%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Student > Postgraduate 2 6%
Other 5 16%
Unknown 4 13%
Readers by discipline Count As %
Psychology 17 55%
Nursing and Health Professions 2 6%
Agricultural and Biological Sciences 2 6%
Unspecified 1 3%
Business, Management and Accounting 1 3%
Other 2 6%
Unknown 6 19%