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

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

Standard

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

Harvard

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

APA

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

Vancouver

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

Author

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).

Bibtex

@inproceedings{25f7d444cc654bdd8a5a3c656e2e9179,
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 = "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.",
author = "Reinbach, {Helene Christine} and Thomas Bj{\o}rner and Thomas Skov and Dannie Korsgaard",
year = "2022",
doi = "10.1007/978-3-031-17902-0_36",
language = "English",
isbn = "978-3-031-17901-3",
series = "Lecture Notes In Computer Science",
publisher = "Springer",
pages = "510--523",
editor = "Duffy, {Vincent G.} and Qin Gao and Jia Zhou and Margherita Antona and Constantine Stephanidis",
booktitle = "HCI International 2022 – Late Breaking Papers",
address = "Switzerland",
note = "null ; Conference date: 26-06-2022 Through 01-07-2022",
url = "https://2022.hci.international/",

}

RIS

TY - GEN

T1 - 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

AU - Reinbach, Helene Christine

AU - Bjørner, Thomas

AU - Skov, Thomas

AU - Korsgaard, Dannie

N1 - Conference code: 24

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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

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

M3 - Article in proceedings

SN - 978-3-031-17901-3

T3 - Lecture Notes In Computer Science

SP - 510

EP - 523

BT - HCI International 2022 – Late Breaking Papers

A2 - Duffy, Vincent G.

A2 - Gao, Qin

A2 - Zhou, Jia

A2 - Antona, Margherita

A2 - Stephanidis, Constantine

PB - Springer

Y2 - 26 June 2022 through 1 July 2022

ER -

ID: 325470276