FoodScrap: Promoting Rich Data Capture and Reflective Food Journaling Through Speech Input
Analyzing how speech input can support low-burden and reflective food journaling.
University of Maryland College of Information Studies (UMD iSchool) Associate Professor Eun Kyoung Choe and PhD Student Yuhan Luo posted a presentation online on their work capturing data during food journaling.
Through their research, they examined how speech input supports capturing everyday food practice through a week-long data collection study. They deployed FoodScrap, a speech-based food journaling app that allows people to capture food components, preparation methods, and food decisions. Using speech input, participants detailed their meal ingredients and elaborated their food decisions by describing the eating moments, explaining their eating strategy, and assessing their food practice. Participants recognized that speech input facilitated self-reflection, but expressed concerns around re-recording, mental load, social constraints, and privacy.