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Faces elicit different scanning patterns depending on task demands

Overview of attention for article published in Attention, Perception, & Psychophysics, February 2017
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Title
Faces elicit different scanning patterns depending on task demands
Published in
Attention, Perception, & Psychophysics, February 2017
DOI 10.3758/s13414-017-1284-y
Pubmed ID
Authors

Isabelle Boutet, Chantal L. Lemieux, Marc-André Goulet, Charles A. Collin

Abstract

Eye movements were recorded while participants discriminated upright and inverted faces that differed with respect to either configural or featural information. Two hypotheses were examined: (1) whether featural and configural information processing elicit different scanning patterns; (2) whether fixations on a specific region of the face dominate scanning patterns. Results from two experiments were compared to examine whether participants' prior knowledge of the kind of information that would be relevant for the task (i.e., configural vs featural) influences eye movements. In Experiment 1, featural and configural discrimination trials were presented in random order such that participants were unaware of the information that would be relevant on any given trial. In Experiment 2, featural and configural discrimination trials were blocked and participants were informed of the nature of the discriminations. The results of both experiments suggest that faces elicit different scanning patterns depending on task demands. When participants were unaware of the nature of the information relevant for the task at hand, face processing was dominated by attention to the eyes. When participants were aware that relational information was relevant, scanning was dominated by fixations to the center of the face. We conclude that faces elicit scanning strategies that are driven by task demands.

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The data shown below were collected from the profile of 1 X user 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 28%
Researcher 8 19%
Student > Doctoral Student 3 7%
Student > Master 3 7%
Lecturer 2 5%
Other 6 14%
Unknown 9 21%
Readers by discipline Count As %
Psychology 24 56%
Neuroscience 4 9%
Engineering 2 5%
Medicine and Dentistry 1 2%
Linguistics 1 2%
Other 0 0%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 February 2017.
All research outputs
#21,500,614
of 24,003,070 outputs
Outputs from Attention, Perception, & Psychophysics
#1,661
of 1,773 outputs
Outputs of similar age
#363,184
of 426,423 outputs
Outputs of similar age from Attention, Perception, & Psychophysics
#25
of 39 outputs
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So far Altmetric has tracked 1,773 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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