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 | |
| Added by: | [] |
| Total mark: | 0 |
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