Feeling Hungry: Association of Dietary Patterns with Food Choices using Scene Perception

Shoma Berkemeyer, Julius Schöning

2020

Abstract

Studies on nutrition have historically concentrated on food-shortages and over-nutrition. The physiological states of feeling hungry or being satiated and its dynamics in food choices, dietary patterns, and nutritional behavior, have not been the focus of many studies. Currently, visual analytic using easy-to-use tooling offers applicability in a wide-range of disciplines. In this interdisciplinary pilot-study we tested a novel visual analytic software to assess dietary patterns and food choices for greater understanding of nutritional behavior when hungry and when satiated. We developed software toolchain and tested the hypotheses that there is no difference between visual search patterns of dishes 1) when hungry and when satiated and 2) in being vegetarian and non-vegetarian. Results indicate that food choices can be deviant from dietary patterns but correlate slightly with dish-gazing. Further, scene perception probably could vary between being hungry and satiated. Understanding the complicated relationship between scene perception and nutritional behavioral patterns and scaling up this pilot-study to a full-study using our introduced software approaches is indispensable.

Paper Citation

in Harvard Style

Berkemeyer S. and Schöning J. (2020). Feeling Hungry: Association of Dietary Patterns with Food Choices using Scene Perception.In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA, ISBN 978-989-758-480-0, pages 188-195. DOI: 10.5220/0010146101880195

in Bibtex Style

@conference{chira20,
author={Shoma Berkemeyer and Julius Schöning},
title={Feeling Hungry: Association of Dietary Patterns with Food Choices using Scene Perception},
booktitle={Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,},
year={2020},
pages={188-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010146101880195},
isbn={978-989-758-480-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,
TI - Feeling Hungry: Association of Dietary Patterns with Food Choices using Scene Perception
SN - 978-989-758-480-0
AU - Berkemeyer S.
AU - Schöning J.
PY - 2020
SP - 188
EP - 195
DO - 10.5220/0010146101880195