Literature DB >> 30922820

Gender-based eye movement differences in passive indoor picture viewing: An eye-tracking study.

Bahman Abdi Sargezeh1, Niloofar Tavakoli2, Mohammad Reza Daliri3.   

Abstract

Male and female brains have different structures, which can make genders produce various eye- movement patterns. This study presents the results of an eye tracking experiment in which we analyzed the eye movements of 25 male and 20 female participants during passive indoor picture viewing. We examined eye-movement parameters, namely fixation duration, scan path length, number of saccades, spatial density, saccade amplitude, and the ratio of total fixation duration to total saccade duration so as to investigate gender differences in eye-movement patterns while indoor picture viewing. We found significant differences in eye-movement patterns between genders. The results of eye-movement analysis also indicated that females showed more explorative gaze behavior, indicated by larger saccade amplitudes, and by longer scan paths. Furthermore, owing to shorter ratio of fixation durations to saccade duration in females as compared to male, we speculate that females inspect the images faster than males. In addition, we classified the genders into two subgroups-males and females-based on their eye-movement parameters by using a support vector machine classifier achieving an accuracy of 70%. We have come to the result males and females - with same culture - see the environment differently. Our findings have profound implications for researches employing gaze-based models.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Eye movements; Eye tracking; Gender classification; Gender differences; Genders' attitudes

Mesh:

Year:  2019        PMID: 30922820     DOI: 10.1016/j.physbeh.2019.03.023

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  4 in total

1.  Factors Affecting Human Visual Behavior and Preference for Sneakers: An Eye-Tracking Study.

Authors:  Zihao Chen; Wenfang Song
Journal:  Front Psychol       Date:  2022-06-13

2.  Impact of Think-Aloud on Eye-Tracking: A Comparison of Concurrent and Retrospective Think-Aloud for Research on Decision-Making in the Game Environment.

Authors:  Michal Prokop; Ladislav Pilař; Ivana Tichá
Journal:  Sensors (Basel)       Date:  2020-05-12       Impact factor: 3.576

Review 3.  Eye-Tracking Feature Extraction for Biometric Machine Learning.

Authors:  Jia Zheng Lim; James Mountstephens; Jason Teo
Journal:  Front Neurorobot       Date:  2022-02-01       Impact factor: 2.650

4.  The effects of age and sex on the incidence of multiple step saccades and corrective saccades.

Authors:  Wenbo Ma; Mingsha Zhang
Journal:  Front Aging Neurosci       Date:  2022-09-07       Impact factor: 5.702

  4 in total

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