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
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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 |
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Titel | HCI International 2022 – Late Breaking Papers : HCI for Health, Well-being, Universal Access and Healthy Aging |
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 | |
Status | Udgivet - 2022 |
Begivenhed | International Conference on Human-Computer Interaction - Online Varighed: 26 jun. 2022 → 1 jul. 2022 Konferencens nummer: 24 https://2022.hci.international/ |
Konference
Konference | International Conference on Human-Computer Interaction |
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Nummer | 24 |
Lokation | Online |
Periode | 26/06/2022 → 01/07/2022 |
Internetadresse |
Navn | Lecture Notes In Computer Science |
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Vol/bind | 13521 |
ISSN | 0302-9743 |
ID: 325470276