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Rasch-based tailored goals for nutrition assistance systems

on YouTube 18m
Talkat IUI 2019 · 2019-03-17..03-20· [machine-learning]

speakers

name:Hanna Schäfer
links:none on file
name:Martijn C. Willemsen
links:none on file

resources

video:https://youtu.be/hgBgYOS4k9Y
slides:none on file

summary

Mobile app compares two goal-setting strategies over a 12-day study (original N=51 vs adapted N=47 after screening from ~300): one set recommends the six most critical nutrients, the other uses a Rasch scale to pick six tailored nutrients just above a user’s ability. Users log diet (>70% of engagement), get recipes and nutrient visualizations. Tailored goals yield higher success on the focused nutrients, are rated more diverse and personalized, and sustain recipe use longer.

AI-written summary · about

chapters (4)

  1. 0:00Start
  2. 3:13Food Frequency Questionnaire
  3. 6:44Nutritional Behavior
  4. 8:23Results

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