Foundations for Systematic Evaluation and Benchmarking of a Mobile Food Logger in a Large-scale ...
summary
EaT implements a novel Search-Accelerator to speed lookup in a over 6,000 foods database; a public health field study with 1,027 participants logs 30,715 food items over three days and yields 1,163 user-added entries that are hand-cleaned and analyzed to identify failure modes. Benchmarks quantify timeliness of logging across the day, per-day time burden from a 12-person lab, and search accuracy, identifying specific causes of missed matches and concrete UI fixes.
AI-written summary · about
related talks
26mNavigating to nourishment: Technology for food equity
44mPerformance Testing with a "Big Data Tool"
14mTelling Traces
28mRe-examining recipe search
25mForecasting critical food violations at restaurants using open data
18mData Edibilization: Representing Data with Food
57mVideo
30mDebugging and Optimizing User Experience with Deep Visual Analytics