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A personalized agent-based chatbot for nutritional coaching
Art der Publikation: Artikel in einem Konferenzbericht
Zitat:
Buchtitel: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
Serie: WI-IAT '21
Jahr: 2021
Monat: Dezember
Seiten: 682–687
Verlag: ACM
Ort: Melbourne, VIC, Australia
Ort: New York, NY, USA
ISBN: 9781450391153
URL: https://doi.org/10.1145/348662...
DOI: 10.1145/3486622.3493992
Abriss: 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.
Schlagworte: agent-based chatbots, food chatbot, nutrition coaching
Autoren Calvaresi, Davide
Eggenschwiler, Stefan
Calbimonte, Jean-Paul
Manzo, Gaetano
Schumacher, Michael
Hinzugefügt von: []
Gesamtbewertung: 0
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