Conference proceeding
Investigating Preferred Food Description Practices in Digital Food Journaling
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
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.
Details
- Title: Subtitle
- Investigating Preferred Food Description Practices in Digital Food Journaling
- Creators
- Lucas M Silva - University of California, IrvineDaniel A Epstein - University of California, Irvine
- Contributors
- Wendy Ju (Editor) - Technion – Israel Institute of TechnologyLora Oehlberg (Editor) - University of CalgarySean Follmer (Editor) - Stanford UniversitySarah Fox (Editor) - Carnegie Mellon UniversityStacey Kuznetsov (Editor) - Arizona State University
- Resource Type
- Conference proceeding
- Publication Details
- Designing Interactive Systems Conference 2021, pp.589-605
- Conference
- DIS '21: Designing Interactive Systems Conference 2021
- Series
- ACM Conferences
- DOI
- 10.1145/3461778.3462145
- Publisher
- ACM
- Language
- English
- Date published
- 06/28/2021
- Academic Unit
- Computer Science
- Record Identifier
- 9984696584602771
Metrics
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