Gaze Pattern Variations among Men When Assessing Female Attractiveness

Pilot data from eye-tracking research suggest that each male participant has his own gaze pattern, usefully regarded as an individual difference, when viewing female targets whom they are rating for attractiveness. Gaze patterns appear to be consistent within a given male participant across a variet...

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Main Authors: Joseph W. Melnyk, David M. McCord, Jamie Vaske
Format: Article
Language:English
Published: SAGE Publishing 2014-01-01
Series:Evolutionary Psychology
Online Access:https://doi.org/10.1177/147470491401200113
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spelling doaj-f0e9f4199f4c415fbd40698980a731332020-11-25T03:40:52ZengSAGE PublishingEvolutionary Psychology1474-70492014-01-011210.1177/14747049140120011310.1177_147470491401200113Gaze Pattern Variations among Men When Assessing Female AttractivenessJoseph W. MelnykDavid M. McCordJamie VaskePilot data from eye-tracking research suggest that each male participant has his own gaze pattern, usefully regarded as an individual difference, when viewing female targets whom they are rating for attractiveness. Gaze patterns appear to be consistent within a given male participant across a variety of target models, and these individual differences may override characteristics of the model in determining fixation points, body region focus, and other eye-tracker variables. The goal of the present study was to elucidate these variations of gaze pattern by assessing the extent to which systematic “types” of gaze patterns exist among a group of male participants. Latent class analysis was used to place 60 men into groups based on their gaze pattern. A two-cluster solution produced the most interpretable analysis, and groups formed by this clustering were significantly different from each other on variables of interest. Cross validation of this solution across three additional female models resulted in some support for generalization, though exceptions were noted.https://doi.org/10.1177/147470491401200113
collection DOAJ
language English
format Article
sources DOAJ
author Joseph W. Melnyk
David M. McCord
Jamie Vaske
spellingShingle Joseph W. Melnyk
David M. McCord
Jamie Vaske
Gaze Pattern Variations among Men When Assessing Female Attractiveness
Evolutionary Psychology
author_facet Joseph W. Melnyk
David M. McCord
Jamie Vaske
author_sort Joseph W. Melnyk
title Gaze Pattern Variations among Men When Assessing Female Attractiveness
title_short Gaze Pattern Variations among Men When Assessing Female Attractiveness
title_full Gaze Pattern Variations among Men When Assessing Female Attractiveness
title_fullStr Gaze Pattern Variations among Men When Assessing Female Attractiveness
title_full_unstemmed Gaze Pattern Variations among Men When Assessing Female Attractiveness
title_sort gaze pattern variations among men when assessing female attractiveness
publisher SAGE Publishing
series Evolutionary Psychology
issn 1474-7049
publishDate 2014-01-01
description Pilot data from eye-tracking research suggest that each male participant has his own gaze pattern, usefully regarded as an individual difference, when viewing female targets whom they are rating for attractiveness. Gaze patterns appear to be consistent within a given male participant across a variety of target models, and these individual differences may override characteristics of the model in determining fixation points, body region focus, and other eye-tracker variables. The goal of the present study was to elucidate these variations of gaze pattern by assessing the extent to which systematic “types” of gaze patterns exist among a group of male participants. Latent class analysis was used to place 60 men into groups based on their gaze pattern. A two-cluster solution produced the most interpretable analysis, and groups formed by this clustering were significantly different from each other on variables of interest. Cross validation of this solution across three additional female models resulted in some support for generalization, though exceptions were noted.
url https://doi.org/10.1177/147470491401200113
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