An XR eye-tracking investigation on the assessment of existing food habits

The work detailed in this paper is part of the development of a systematic approach to understanding human preferences and decision-making through the use of eye-tracking technology in extended reality (XR) settings. The present work aspires to better understanding of citizens’ food consumption habits, revealing the factors influencing choices and drivers that could facilitate changes in behaviour in an inclusive manner towards healthy and sustainable food consumption practices. Participants are equipped with video see-through headsets and are presented with a variety food consumption scenarios. Eyetracking data are collected and compared against detailed questionnaires on eating habits presented directly within the XR environment. Participants’ focus on specific food options is evaluated by examining key metrics related to eye gaze such as direction, duration and frequency. The evaluation showcases the use of eye tracking to reveal preferences and biases of immersed audience that may not be captured by traditional methods focusing only on questionnaires and interviews highlighting its importance for areas such as climate change, health, nutrition and advertising that are often influenced by intangible factors. Preliminary results suggest a connection between eye gaze metrics and food selections showing influences, from socio-educational backgrounds and demonstrating the value of using XR eyetracking for studying patterns and analyzing consumer behavior.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-31
DOI
https://doi.org/10.5281/zenodo.14017372
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
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article

An XR eye-tracking investigation on the assessment of existing food habits

Zenodo (CERN European Organization for Nuclear Research)
Gaze Tracking and Assistive Technology
article

An XR eye-tracking investigation on the assessment of existing food habits

article en

Abstract

The work detailed in this paper is part of the development of a systematic approach to understanding human preferences and decision-making through the use of eye-tracking technology in extended reality (XR) settings. The present work aspires to better understanding of citizens’ food consumption habits, revealing the factors influencing choices and drivers that could facilitate changes in behaviour in an inclusive manner towards healthy and sustainable food consumption practices. Participants are equipped with video see-through headsets and are presented with a variety food consumption scenarios. Eyetracking data are collected and compared against detailed questionnaires on eating habits presented directly within the XR environment. Participants’ focus on specific food options is evaluated by examining key metrics related to eye gaze such as direction, duration and frequency. The evaluation showcases the use of eye tracking to reveal preferences and biases of immersed audience that may not be captured by traditional methods focusing only on questionnaires and interviews highlighting its importance for areas such as climate change, health, nutrition and advertising that are often influenced by intangible factors. Preliminary results suggest a connection between eye gaze metrics and food selections showing influences, from socio-educational backgrounds and demonstrating the value of using XR eyetracking for studying patterns and analyzing consumer behavior.

Zenodo (CERN European Organization for Nuclear Research)
Labster (Denmark) (DK), Institute of Communication and Computer Systems (GR)
Zero hunger
Openalex Percentile: Top 66%
Gaze Tracking and Assistive Technology
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An XR eye-tracking investigation on the assessment of existing food habits · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS