Photo Analysis for Characterizing Food-Related Behavior and Photo Elicitation to Set-Up a Mixed Reality Environment for Social Eating Among Older Adults Living at Home

Helene Christine Reinbach; Thomas Bjørner; Thomas Skov; Dannie Korsgaard

doi:10.1007/978-3-031-17902-0_36

Photo Analysis for Characterizing Food-Related Behavior and Photo Elicitation to Set-Up a Mixed Reality Environment for Social Eating Among Older Adults Living at Home

Helene Christine Reinbach, Thomas Bjørner, Thomas Skov, Dannie Korsgaard

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

o be more successful in preventing malnutrition for older adults living at home, there is a need for better methods to characterize their food behavior, as well as there is a need for health-supporting technologies focusing more on individualized contextual preferences. This study reveals how photos can be used to characterize older adults’ food-related behavior and preferences, and how photo elicitation can be used to design an eating environment in mixed reality for older solitary adults. This study is based on a sample of 22 older adults, who took in total 153 pictures of their meals, and a workshop using photo elicitation with 16 older adults in a community center. The findings revealed how photos can be used as a self-monitoring process to create meaningful and rich in-depth information on food-related behavior of older adults living at home. Photo elicitation can be used as a supplement to characterize older adults’ food-related behavior and preferences in a mixed reality environment. Further, we outline both advantages and limitations of using photo elicitation in a context of human-computer interaction.

Original language	English
Title of host publication	HCI International 2022 – Late Breaking Papers : HCI for Health, Well-being, Universal Access and Healthy Aging
Editors	Vincent G. Duffy, Qin Gao, Jia Zhou, Margherita Antona, Constantine Stephanidis
Number of pages	14
Publisher	Springer
Publication date	2022
Pages	510-523
ISBN (Print)	978-3-031-17901-3
ISBN (Electronic)	978-3-031-17902-0
DOIs	https://doi.org/10.1007/978-3-031-17902-0_36
Publication status	Published - 2022
Event	International Conference on Human-Computer Interaction - Online Duration: 26 Jun 2022 → 1 Jul 2022 Conference number: 24 https://2022.hci.international/

Conference

Conference	International Conference on Human-Computer Interaction
Number	24
Location	Online
Period	26/06/2022 → 01/07/2022
Internet address	https://2022.hci.international/

Series	Lecture Notes In Computer Science
Volume	13521
ISSN	0302-9743

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10.1007/978-3-031-17902-0_36

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Reinbach, H. C., Bjørner, T., Skov, T., & Korsgaard, D. (2022). Photo Analysis for Characterizing Food-Related Behavior and Photo Elicitation to Set-Up a Mixed Reality Environment for Social Eating Among Older Adults Living at Home. In V. G. Duffy, Q. Gao, J. Zhou, M. Antona, & C. Stephanidis (Eds.), HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging (pp. 510-523). Springer. Lecture Notes In Computer Science Vol. 13521 https://doi.org/10.1007/978-3-031-17902-0_36

Photo Analysis for Characterizing Food-Related Behavior and Photo Elicitation to Set-Up a Mixed Reality Environment for Social Eating Among Older Adults Living at Home. / Reinbach, Helene Christine; Bjørner, Thomas; Skov, Thomas; Korsgaard, Dannie.

HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging. ed. / Vincent G. Duffy; Qin Gao; Jia Zhou; Margherita Antona; Constantine Stephanidis. Springer, 2022. p. 510-523 (Lecture Notes In Computer Science, Vol. 13521).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Reinbach, HC, Bjørner, T, Skov, T & Korsgaard, D 2022, Photo Analysis for Characterizing Food-Related Behavior and Photo Elicitation to Set-Up a Mixed Reality Environment for Social Eating Among Older Adults Living at Home. in VG Duffy, Q Gao, J Zhou, M Antona & C Stephanidis (eds), HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging. Springer, Lecture Notes In Computer Science, vol. 13521, pp. 510-523, International Conference on Human-Computer Interaction, 26/06/2022. https://doi.org/10.1007/978-3-031-17902-0_36

Reinbach HC, Bjørner T, Skov T, Korsgaard D. Photo Analysis for Characterizing Food-Related Behavior and Photo Elicitation to Set-Up a Mixed Reality Environment for Social Eating Among Older Adults Living at Home. In Duffy VG, Gao Q, Zhou J, Antona M, Stephanidis C, editors, HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging. Springer. 2022. p. 510-523. (Lecture Notes In Computer Science, Vol. 13521). https://doi.org/10.1007/978-3-031-17902-0_36

Reinbach, Helene Christine ; Bjørner, Thomas ; Skov, Thomas ; Korsgaard, Dannie. / Photo Analysis for Characterizing Food-Related Behavior and Photo Elicitation to Set-Up a Mixed Reality Environment for Social Eating Among Older Adults Living at Home. HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging. editor / Vincent G. Duffy ; Qin Gao ; Jia Zhou ; Margherita Antona ; Constantine Stephanidis. Springer, 2022. pp. 510-523 (Lecture Notes In Computer Science, Vol. 13521).

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abstract = "o be more successful in preventing malnutrition for older adults living at home, there is a need for better methods to characterize their food behavior, as well as there is a need for health-supporting technologies focusing more on individualized contextual preferences. This study reveals how photos can be used to characterize older adults{\textquoteright} food-related behavior and preferences, and how photo elicitation can be used to design an eating environment in mixed reality for older solitary adults. This study is based on a sample of 22 older adults, who took in total 153 pictures of their meals, and a workshop using photo elicitation with 16 older adults in a community center. The findings revealed how photos can be used as a self-monitoring process to create meaningful and rich in-depth information on food-related behavior of older adults living at home. Photo elicitation can be used as a supplement to characterize older adults{\textquoteright} food-related behavior and preferences in a mixed reality environment. Further, we outline both advantages and limitations of using photo elicitation in a context of human-computer interaction.",

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