Face exploration dynamics differentiate men and women
Journal of Vision, ISSN: 1534-7362, Vol: 16, Issue: 14, Page: 16
2016
- 63Citations
- 130Captures
- 6Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations63
- Citation Indexes63
- 63
- CrossRef8
- Captures130
- Readers130
- 130
- Mentions6
- News Mentions5
- 5
- Blog Mentions1
- Blog1
Most Recent News
Men, Women Absorb Visual Information In Different Ways: Study Suggests Gender Differences Affects Understanding Of Visual Cues
There are differences in the way men and women observe visual information, reported a team of researchers from Queen Mary University of London. From the way the people scan the faces, it is possible to tell if the participant was a male or a female with accuracy of 80 percent, noted the researchers.
Article 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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85004010275&origin=inward; http://dx.doi.org/10.1167/16.14.16; http://www.ncbi.nlm.nih.gov/pubmed/27893894; http://jov.arvojournals.org/article.aspx?doi=10.1167/16.14.16; https://dx.doi.org/10.1167/16.14.16; http://jov.arvojournals.org/article.aspx?articleid=2587793
Association for Research in Vision and Ophthalmology (ARVO)
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