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Investigating Preferred Food Description Practices in Digital Food Journaling
Conference proceeding   Open access

Investigating Preferred Food Description Practices in Digital Food Journaling

Lucas M Silva and Daniel A Epstein
Designing Interactive Systems Conference 2021, pp.589-605
ACM Conferences
DIS '21: Designing Interactive Systems Conference 2021
06/28/2021
DOI: 10.1145/3461778.3462145
url
https://doi.org/10.1145/3461778.3462145View
Published (Version of record) Open Access

Abstract

Journaling of consumed foods through digital devices is a popular self-tracking strategy for weight loss and eating mindfulness. Research has explored modalities, like photos and open-ended text and voice descriptions, to make journaling less burdensome and more descriptive than traditional barcode and database searches. However, less is known about how people prefer to journal foods when less constrained by limitations of databases, natural language processing, and image recognition. We deployed a food journal prototype supporting varied devices and input modalities, which 15 participants used to journal 1008 food logs over two weeks. Participants had diverse strategies for indicating what and how much they ate, varying from ambiguous foods to specifying varieties and using different measurements for clarifying amount. Some strategies were interpretable by natural language food identification and image classification services, while others point to open research questions. We finally discuss opportunities for accounting for variance in food journaling.
Human-centered computing Human-centered computing -- Human computer interaction (HCI)

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