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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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 languageEnglish
Title of host publicationHCI International 2022 – Late Breaking Papers : HCI for Health, Well-being, Universal Access and Healthy Aging
EditorsVincent G. Duffy, Qin Gao, Jia Zhou, Margherita Antona, Constantine Stephanidis
Number of pages14
Publication date2022
ISBN (Print)978-3-031-17901-3
ISBN (Electronic)978-3-031-17902-0
Publication statusPublished - 2022
EventInternational Conference on Human-Computer Interaction - Online
Duration: 26 Jun 20221 Jul 2022
Conference number: 24


ConferenceInternational Conference on Human-Computer Interaction
SeriesLecture Notes In Computer Science

ID: 325470276