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A personalized agent-based chatbot for nutritional coaching
Type of publication: Inproceedings
Citation:
Booktitle: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
Series: WI-IAT '21
Year: 2021
Month: December
Pages: 682–687
Publisher: ACM
Location: Melbourne, VIC, Australia
Address: New York, NY, USA
ISBN: 9781450391153
URL: https://doi.org/10.1145/348662...
DOI: 10.1145/3486622.3493992
Abstract: Intelligent systems increasingly support users’ behavior change, including exercise adherence, smoking cessation, and healthy diet adoption. Their effectiveness is affected by the personalization degree of advice/coaching and HMI mechanisms. This paper proposes a personalized agent-based chatbot platform assisting the user in healthy nutrition via pervasive technologies leveraging dynamical, multi-modal, and personalized interactions. The system provides diet recommendations and tracks the user’s food intake and nutritional behaviors to promote a healthy lifestyle. The study concludes with a user study and performance evaluation.
Keywords: agent-based chatbots, food chatbot, nutrition coaching
Authors Calvaresi, Davide
Eggenschwiler, Stefan
Calbimonte, Jean-Paul
Manzo, Gaetano
Schumacher, Michael
Added by: []
Total mark: 0
Attachments
  • FoodFirst_at_WI21.pdf
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