Visual attention towards food during unplanned purchases - A pilot study using mobile eye tracking technology.
This pilot study aims to investigate the relationships between consumers' weight status, energy density of food and visual attention towards food during unplanned purchase behavior in a real-world environment. After more than a decade of intensive experimental eye tracking research on food perc...
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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:4a4ca9918e774beb9ad315b83e61ede32021-11-25T06:23:48ZVisual attention towards food during unplanned purchases - A pilot study using mobile eye tracking technology.1932-620310.1371/journal.pone.0247755https://doaj.org/article/4a4ca9918e774beb9ad315b83e61ede32021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0247755https://doaj.org/toc/1932-6203This pilot study aims to investigate the relationships between consumers' weight status, energy density of food and visual attention towards food during unplanned purchase behavior in a real-world environment. After more than a decade of intensive experimental eye tracking research on food perception, this pilot study attempts to link experimental and field research in this area. Shopping trips of participants with different weight status were recorded with mobile eye tracking devices and their unplanned purchase behavior was identified and analyzed. Different eye movement measurements for initial orientation and maintained attention were analyzed. Differences in visual attention caused by energy density of food were found. There was a tendency across all participants to look at low energy density food longer and more often.Gerrit HummelSaskia MaierMaren BaumgartenCora EderPatrick Thomas StrubichNanette Stroebele-BenschopPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 3, p e0247755 (2021) |
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Medicine R Science Q Gerrit Hummel Saskia Maier Maren Baumgarten Cora Eder Patrick Thomas Strubich Nanette Stroebele-Benschop Visual attention towards food during unplanned purchases - A pilot study using mobile eye tracking technology. |
description |
This pilot study aims to investigate the relationships between consumers' weight status, energy density of food and visual attention towards food during unplanned purchase behavior in a real-world environment. After more than a decade of intensive experimental eye tracking research on food perception, this pilot study attempts to link experimental and field research in this area. Shopping trips of participants with different weight status were recorded with mobile eye tracking devices and their unplanned purchase behavior was identified and analyzed. Different eye movement measurements for initial orientation and maintained attention were analyzed. Differences in visual attention caused by energy density of food were found. There was a tendency across all participants to look at low energy density food longer and more often. |
format |
article |
author |
Gerrit Hummel Saskia Maier Maren Baumgarten Cora Eder Patrick Thomas Strubich Nanette Stroebele-Benschop |
author_facet |
Gerrit Hummel Saskia Maier Maren Baumgarten Cora Eder Patrick Thomas Strubich Nanette Stroebele-Benschop |
author_sort |
Gerrit Hummel |
title |
Visual attention towards food during unplanned purchases - A pilot study using mobile eye tracking technology. |
title_short |
Visual attention towards food during unplanned purchases - A pilot study using mobile eye tracking technology. |
title_full |
Visual attention towards food during unplanned purchases - A pilot study using mobile eye tracking technology. |
title_fullStr |
Visual attention towards food during unplanned purchases - A pilot study using mobile eye tracking technology. |
title_full_unstemmed |
Visual attention towards food during unplanned purchases - A pilot study using mobile eye tracking technology. |
title_sort |
visual attention towards food during unplanned purchases - a pilot study using mobile eye tracking technology. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/4a4ca9918e774beb9ad315b83e61ede3 |
work_keys_str_mv |
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_version_ |
1718413740670451712 |