Literature DB >> 9616483

Face detection in peripheral vision: do faces pop out?

V Brown1, D Huey, J M Findlay.   

Abstract

We examined whether faces can produce a 'pop-out' effect in visual search tasks. In the first experiment, subjects' eye movements and search latencies were measured while they viewed a display containing a target face amidst distractors. Targets were upright or inverted faces presented with seven others of the opposite polarity as an 'around-the-clock' display. Face images were either photographic or 'feature only', with the outline removed. Naive subjects were poor at locating an upright face from an array of inverted faces, but performance improved with practice. In the second experiment, we investigated systematically how training improved performance. Prior to testing, subjects were practised on locating either upright or inverted faces. All subjects benefited from training. Subjects practised on upright faces were faster and more accurate at locating upright target faces than inverted. Subjects practised on inverted faces showed no difference between upright and inverted targets. In the third experiment, faces with 'jumbled' features were used as distractors, and this resulted in the same pattern of findings. We conclude that there is no direct rapid 'pop-out' effect for faces. However, the findings demonstrate that, in peripheral vision, upright faces show a processing advantage over inverted faces.

Mesh:

Year:  1997        PMID: 9616483     DOI: 10.1068/p261555

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  20 in total

1.  Age-Group Differences in Interference from Young and Older Emotional Faces.

Authors:  Natalie C Ebner; Marcia K Johnson
Journal:  Cogn Emot       Date:  2010-11-01

2.  When two faces are not better than one: Serial limited-capacity processing with redundant-target faces.

Authors:  Daniel Fitousi
Journal:  Atten Percept Psychophys       Date:  2021-06-27       Impact factor: 2.199

3.  An objective method for measuring face detection thresholds using the sweep steady-state visual evoked response.

Authors:  Justin M Ales; Faraz Farzin; Bruno Rossion; Anthony M Norcia
Journal:  J Vis       Date:  2012-09-29       Impact factor: 2.240

4.  Investigating attention in complex visual search.

Authors:  Christopher K Kovach; Ralph Adolphs
Journal:  Vision Res       Date:  2014-12-08       Impact factor: 1.886

5.  Attentional and perceptual factors affecting the attentional blink for faces and objects.

Authors:  Ayelet N Landau; Shlomo Bentin
Journal:  J Exp Psychol Hum Percept Perform       Date:  2008-08       Impact factor: 3.332

6.  Averaging facial expression over time.

Authors:  Jason Haberman; Tom Harp; David Whitney
Journal:  J Vis       Date:  2009-10-02       Impact factor: 2.240

7.  Local feature suppression effect in face and non-face stimuli.

Authors:  Artyom Zinchenko; Hyojung Kim; Adrian Danek; Hermann J Müller; Dragan Rangelov
Journal:  Psychol Res       Date:  2014-03-01

8.  Visual search efficiency is greater for human faces compared to animal faces.

Authors:  Elizabeth A Simpson; Haley L Husband; Krysten Yee; Alison Fullerton; Krisztina V Jakobsen
Journal:  Exp Psychol       Date:  2014

9.  Do faces capture the attention of individuals with Williams syndrome or autism? Evidence from tracking eye movements.

Authors:  Deborah M Riby; Peter J B Hancock
Journal:  J Autism Dev Disord       Date:  2008-09-12

10.  Visual search for human gaze direction by a Chimpanzee (Pan troglodytes).

Authors:  Masaki Tomonaga; Tomoko Imura
Journal:  PLoS One       Date:  2010-02-09       Impact factor: 3.240

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