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This paper is in the following e-collection/theme issue:

mHealth for Wellness, Behavior Change and Prevention (3520) Design and Formative Evaluation of Mobile Apps (846) Instruments and Questionnaires for Nutrition and Food Intake (234) Occupational Health and Ergonomics/Prevention at the Workplace (346) Innovations and Technology for Healthy Eating Education (517) Co-Design & Participatory Design (232)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51271, first published .
Man in blue shirt eating healthy salad at desk with laptop and orange juice

An Explanation Interface for Healthy Food Recommendations in a Real-Life Workplace Deployment: User-Centered Design Study

An Explanation Interface for Healthy Food Recommendations in a Real-Life Workplace Deployment: User-Centered Design Study

Authors of this article:

Robin De Croon1 Author Orcid Image ;   Daniela Segovia-Lizano2 Author Orcid Image ;   Paul Finglas2 Author Orcid Image ;   Vero Vanden Abeele1 Author Orcid Image ;   Katrien Verbert1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Shorbaji M, Alalwan A, Algharabat R. AI-Enabled Mobile Food-Ordering Apps and Customer Experience: A Systematic Review and Future Research Agenda. Journal of Theoretical and Applied Electronic Commerce Research 2025;20(3):156 View
  2. Gardini V, Paolillo Diodati M, Mori C, Tomba E. Digital Tools for the Promotion of Healthy and Sustainable Eating Behaviors in the General Population: A Systematic Review of the Literature. Nutrients 2026;18(4):645 View
  3. Bordbar Y, Deng J, King B, Lee H, Zhang W. Bridging Technology and Nutrition: A Systematic Review of AI and XR Applications for Nutritional Insights in Restaurants and Foodservice Operations. Nutrients 2026;18(9):1364 View
  4. Fanfani M, Palesi L, Nesi P. Human-Centered AI for Decision Support Systems: A Systematic Review of Application Domains, Architecture Designs, Current Trends and Future Directions. Big Data and Cognitive Computing 2026;10(6):186 View