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Eyetracking Nutritional Behaviour and Choices

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Computer-Human Interaction Research and Applications (CHIRA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1609))

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Abstract

Visual attention on nutritional outcomes are currently under investigation. Across a variety of disciplines, visual analytics currently offers many new applications with easy-to-use tools. In this interdisciplinary pilot study, we are refining a novel visual analytics software for assessing dietary and food choices. The goal is to improve our understanding of nutritional behavior when individuals are hungry or satiated. In addition to developing a software toolchain, two null hypotheses were investigated: 1) there is no difference between visual search patterns on food when subjects were hungry and satiated and 2) there is no difference in visual search patterns between subjects when vegetarian and non-vegetarian. The experimental data suggest that food choices may differ from dietary patterns and are slightly correlated with dish gazing. Using visual analytics of food scene perception our study suggests there is likely variation in food gazing pattern when hungry and when satiated. Our study further suggests that participants’ dish-gazing probably could be generalizable; the participants’ gazes on dishes were predicted by shallow artificial neuronal networks (ANN). The mean squared error of the predicted to the real gaze points were \(11.1 \%\), probably indicating that study participants’ scene perception of food could be dirigible. In conclusion, to understand the complicated relationship between scene perception and nutritional behavioral patterns, this pilot study needs to be scaled up to a full study.

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Notes

  1. 1.

    Software source code can be downloaded at https://www.hs-osnabrueck.de/prof-dr-julius-schoening/nba.

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Authors and Affiliations

  1. Osnabrück University of Applied Sciences, Osnabrück, Germany

    Julius Schöning & Shoma Berkemeyer

Authors
  1. Julius Schöning
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  2. Shoma Berkemeyer
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Corresponding author

Correspondence to Julius Schöning .

Editor information

Editors and Affiliations

  1. Medical University of Graz, Graz, Austria

    Andreas Holzinger

  2. IT - Institute of Telecommunications, Lisboa, Portugal

    Hugo Plácido Silva

  3. Dublin City University, Dublin, Ireland

    Markus Helfert

  4. Madeira Interactive Technologies Institute, Funchal-Madeira, Portugal

    Larry Constantine

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Schöning, J., Berkemeyer, S. (2022). Eyetracking Nutritional Behaviour and Choices. In: Holzinger, A., Silva, H.P., Helfert, M., Constantine, L. (eds) Computer-Human Interaction Research and Applications. CHIRA 2020. Communications in Computer and Information Science, vol 1609. Springer, Cham. https://doi.org/10.1007/978-3-031-22015-9_2

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  • DOI: https://doi.org/10.1007/978-3-031-22015-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-22014-2

  • Online ISBN: 978-3-031-22015-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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