A Conversational & Reflective Approach for Dietary Logging with the Food Pyramid: Chatbot RAINA

Authors

Nadja Leipold, Technical University of MunichFollow
Monika Wintergerst, Technical University of MunichFollow
Anton Steuer, Technical University of MunichFollow
Georg Groh, Technical University of MunichFollow
Markus Böhm, University of Applied Sciences LandshutFollow
Helmut Krcmar, Technical University of MunichFollow

Paper Number

1714

Abstract

Mobile health (mHealth) applications have the potential to assist users in tracking and monitoring their behavior with the goal of raising awareness and finally supporting a healthier lifestyle. However, current nutrition-related applications mainly support weight loss through calorie counting rather than focusing on a balanced, healthy diet. In this work, we develop a chatbot that follows a more holistic approach to tracking and monitoring one’s diet. It incorporates the principles of a food pyramid to track a personal diet via free-text input and reflect on it via visual feedback. In a seven-day user study with 18 participants, we assess the user engagement and experience by analyzing usage data and results from a pre-/post-study questionnaire. Our results provide first promising insights into the user perceptions of this alternative approach regarding usability and usefulness, nutrition self-efficacy, reflective thinking, health consciousness, as well as intentions and recommendations for future use.

Comments

Paper Number 1714

Recommended Citation

Leipold, Nadja; Wintergerst, Monika; Steuer, Anton; Groh, Georg; Böhm, Markus; and Krcmar, Helmut, "A Conversational & Reflective Approach for Dietary Logging with the Food Pyramid: Chatbot RAINA" (2022). PACIS 2022 Proceedings. 142.
https://aisel.aisnet.org/pacis2022/142