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 Michael 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 Michael Korsgaard

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

To 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.

Originalsprog	Engelsk
Titel	HCI International 2022 – Late Breaking Papers : HCI for Health, Well-being, Universal Access and Healthy Aging - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
Redaktører	Vincent G. Duffy, Qin Gao, Jia Zhou, Margherita Antona, Constantine Stephanidis
Antal sider	14
Forlag	Springer
Publikationsdato	2022
Sider	510-523
ISBN (Trykt)	978-3-031-17901-3
ISBN (Elektronisk)	978-3-031-17902-0
DOI	https://doi.org/10.1007/978-3-031-17902-0_36
Status	Udgivet - 2022
Begivenhed	24th International Conference on Human-Computer Interaction, HCII 2022 - Virtual, Online Varighed: 26 jun. 2022 → 1 jul. 2022

Konference

Konference	24th International Conference on Human-Computer Interaction, HCII 2022
By	Virtual, Online
Periode	26/06/2022 → 01/07/2022

Navn	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind	13521 LNCS
ISSN	0302-9743

Bibliografisk note

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Adgang til dokumentet

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

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Citationsformater

Reinbach, H. C., Bjørner, T., Skov, T., & Korsgaard, D. M. (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. I V. G. Duffy, Q. Gao, J. Zhou, M. Antona, & C. Stephanidis (red.), HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings (s. 510-523). Springer. https://doi.org/10.1007/978-3-031-17902-0_36

Reinbach, Helene Christine ; Bjørner, Thomas ; Skov, Thomas et al. / 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 - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings. red. / Vincent G. Duffy ; Qin Gao ; Jia Zhou ; Margherita Antona ; Constantine Stephanidis. Springer, 2022. s. 510-523 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13521 LNCS).

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title = "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",

abstract = "To 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.",

keywords = "Malnutrition, Mixed reality, Older adults, Photo elicitation",

author = "Reinbach, {Helene Christine} and Thomas Bj{\o}rner and Thomas Skov and Korsgaard, {Dannie Michael}",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 24th International Conference on Human-Computer Interaction, HCII 2022 ; Conference date: 26-06-2022 Through 01-07-2022",

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Reinbach, HC, Bjørner, T, Skov, T & Korsgaard, DM 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. i VG Duffy, Q Gao, J Zhou, M Antona & C Stephanidis (red), HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 13521 LNCS, s. 510-523, 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual, Online, 26/06/2022. 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 et al.
HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings. red. / Vincent G. Duffy; Qin Gao; Jia Zhou; Margherita Antona; Constantine Stephanidis. Springer, 2022. s. 510-523 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13521 LNCS).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AU - Reinbach, Helene Christine

AU - Bjørner, Thomas

AU - Skov, Thomas

AU - Korsgaard, Dannie Michael

PY - 2022

Y1 - 2022

N2 - To 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.

AB - To 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.

KW - Malnutrition

KW - Mixed reality

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U2 - 10.1007/978-3-031-17902-0_36

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

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AN - SCOPUS:85141691970

SN - 978-3-031-17901-3

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 523

BT - HCI International 2022 – Late Breaking Papers

A2 - Duffy, Vincent G.

A2 - Gao, Qin

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ER -

Reinbach HC, Bjørner T, Skov T, Korsgaard DM. 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. I Duffy VG, Gao Q, Zhou J, Antona M, Stephanidis C, red., HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings. Springer. 2022. s. 510-523. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13521 LNCS). 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

Abstract

Konference

Bibliografisk note

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AUB Link

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Citationsformater