Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

10-2020

Abstract

Recent research has identified a few design flaws in popular mobile health (mHealth) applications for promoting healthy eating lifestyle, such as mobile food journals. These include tediousness of manual food logging, inadequate food database coverage, and a lack of healthy dietary goal setting. To address these issues, we present Foodbot, a chatbot-based mHealth application for goal-oriented just-in-time (JIT) healthy eating interventions. Powered by a large-scale food knowledge graph, Foodbot utilizes automatic speech recognition and mobile messaging interface to record food intake. Moreover, Foodbot allows users to set goals and guides their behavior toward the goals via JIT notification prompts, interactive dialogues, and personalized recommendation. Altogether, the Foodbot framework demonstrates the use of open-source data, tools, and platforms to build a practical mHealth solution for supporting healthy eating lifestyle in the general population.

Keywords

mHealth, chatbot, diet, self-tracking, food journal, goal-setting, just-in-time intervention, food recommendation, knowledge graph

Discipline

Artificial Intelligence and Robotics | Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

PervasiveHealth'20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

First Page

436

Last Page

439

ISBN

9781450375320

Identifier

10.1145/3421937.3421960

Publisher

ACM

City or Country

New York

Copyright Owner and License

LARC and Authors

Additional URL

https://doi.org/10.1145/3421937.3421960

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