Fast saccades towards faces are robust to orientation inversion and contrast negation.

Contrast negation Face detection Face inversion effect Rapid visual categorisation Saccade

Journal

Vision research
ISSN: 1878-5646
Titre abrégé: Vision Res
Pays: England
ID NLM: 0417402

Informations de publication

Date de publication:
08 2021
Historique:
received: 02 06 2020
revised: 22 03 2021
accepted: 30 03 2021
pubmed: 19 4 2021
medline: 27 1 2022
entrez: 18 4 2021
Statut: ppublish

Résumé

Eye movement studies show that humans can make very fast saccades towards faces in natural scenes, but the visual mechanisms behind this process remain unclear. Here we investigate whether fast saccades towards faces rely on mechanisms that are sensitive to the orientation or contrast of the face image. We present participants pairs of images each containing a face and a car in the left and right visual field or the reverse, and we ask them to saccade to faces or cars as targets in different blocks. We assign participants to one of three image conditions: normal images, orientation-inverted images, or contrast-negated images. We report three main results that hold regardless of image conditions. First, reliable saccades towards faces are fast - they can occur at 120-130 ms. Second, fast saccades towards faces are selective - they are more accurate and faster by about 60-70 ms than saccades towards cars. Third, saccades towards faces are reflexive - early saccades in the interval of 120-160 ms tend to go to faces, even when cars are the target. These findings suggest that the speed, selectivity, and reflexivity of saccades towards faces do not depend on the orientation or contrast of the face image. Our results accord with studies suggesting that fast saccades towards faces are mainly driven by low-level image properties, such as amplitude spectrum and spatial frequency.

Identifiants

pubmed: 33866144
pii: S0042-6989(21)00064-X
doi: 10.1016/j.visres.2021.03.009
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9-16

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Zoë Little (Z)

School of Psychology, Victoria University of Wellington, New Zealand. Electronic address: zoe.little@vuw.ac.nz.

Daniel Jenkins (D)

School of Psychology, Victoria University of Wellington, New Zealand.

Tirta Susilo (T)

School of Psychology, Victoria University of Wellington, New Zealand.

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Classifications MeSH