Face exploration dynamics differentiate men and women
The human face is central to our everyday social interactions. Recent studies have shown that while gazing at faces, each one of us has a particular eyescanning pattern, highly stable across time. Although variables such as culture or personality have been shown to modulate gaze behavior, we still d...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Association for Research in Vision and Ophthalmology
2016
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| Online Access: | https://eprints.nottingham.ac.uk/40939/ |
| _version_ | 1848796167256670208 |
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| author | Coutrot, Antoine Binetti, Nicola Harrison, Charlotte Mareschal, Isabelle Johnston, Alan |
| author_facet | Coutrot, Antoine Binetti, Nicola Harrison, Charlotte Mareschal, Isabelle Johnston, Alan |
| author_sort | Coutrot, Antoine |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The human face is central to our everyday social interactions. Recent studies have shown that while gazing at faces, each one of us has a particular eyescanning pattern, highly stable across time. Although variables such as culture or personality have been shown to modulate gaze behavior, we still don’t know what shapes these idiosyncrasies. Moreover, most previous observations rely on static analyses of small-sized eyeposition data sets averaged across time. Here, we probe the temporal dynamics of gaze to explore what information can be extracted about the observers and what is being observed. Controlling for any stimuli effect, we demonstrate that among many individual characteristics, the gender of both the participant (gazer) and the person being observed (actor) are the factors that most influence gaze patterns during face exploration.We record and exploit the largest set of eyetracking data (405 participants, 58 nationalities) from participants watching videos of another person. Using novel data-mining techniques, we show that female gazers follow a much more exploratory scanning strategy than males. Moreover, female gazers watching female actresses look more at the eye on the left side. These results have strong implications in every field using gazebased models from computer vision to clinical psychology. |
| first_indexed | 2025-11-14T19:43:40Z |
| format | Article |
| id | nottingham-40939 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:43:40Z |
| publishDate | 2016 |
| publisher | Association for Research in Vision and Ophthalmology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-409392020-05-04T18:19:48Z https://eprints.nottingham.ac.uk/40939/ Face exploration dynamics differentiate men and women Coutrot, Antoine Binetti, Nicola Harrison, Charlotte Mareschal, Isabelle Johnston, Alan The human face is central to our everyday social interactions. Recent studies have shown that while gazing at faces, each one of us has a particular eyescanning pattern, highly stable across time. Although variables such as culture or personality have been shown to modulate gaze behavior, we still don’t know what shapes these idiosyncrasies. Moreover, most previous observations rely on static analyses of small-sized eyeposition data sets averaged across time. Here, we probe the temporal dynamics of gaze to explore what information can be extracted about the observers and what is being observed. Controlling for any stimuli effect, we demonstrate that among many individual characteristics, the gender of both the participant (gazer) and the person being observed (actor) are the factors that most influence gaze patterns during face exploration.We record and exploit the largest set of eyetracking data (405 participants, 58 nationalities) from participants watching videos of another person. Using novel data-mining techniques, we show that female gazers follow a much more exploratory scanning strategy than males. Moreover, female gazers watching female actresses look more at the eye on the left side. These results have strong implications in every field using gazebased models from computer vision to clinical psychology. Association for Research in Vision and Ophthalmology 2016-11-28 Article PeerReviewed Coutrot, Antoine, Binetti, Nicola, Harrison, Charlotte, Mareschal, Isabelle and Johnston, Alan (2016) Face exploration dynamics differentiate men and women. Journal of Vision, 16 (14). 16/1-16/19. ISSN 1534-7362 http://jov.arvojournals.org/article.aspx?articleid=2587793 doi:10.1167/16.14.16 doi:10.1167/16.14.16 |
| spellingShingle | Coutrot, Antoine Binetti, Nicola Harrison, Charlotte Mareschal, Isabelle Johnston, Alan Face exploration dynamics differentiate men and women |
| title | Face exploration dynamics differentiate men and women |
| title_full | Face exploration dynamics differentiate men and women |
| title_fullStr | Face exploration dynamics differentiate men and women |
| title_full_unstemmed | Face exploration dynamics differentiate men and women |
| title_short | Face exploration dynamics differentiate men and women |
| title_sort | face exploration dynamics differentiate men and women |
| url | https://eprints.nottingham.ac.uk/40939/ https://eprints.nottingham.ac.uk/40939/ https://eprints.nottingham.ac.uk/40939/ |