Title
Explanation-Based Negotiation Protocol for Nutrition Virtual Coaching
Author
Buzcu, Berk (Özyeğin University)
Varadhajaran, Vanitha (University of Luxembourg)
Tchappi, Igor (University of Luxembourg)
Najjar, Amro (Luxembourg Institute of Science and Technology)
Calvaresi, Davide (University of Applied Sciences and Arts Western Switzerland)
Aydoğan, Reyhan (TU Delft Interactive Intelligence; Özyeğin University)
Contributor
Aydoğan, Reyhan (editor)
Criado, Natalia (editor)
Sanchez-Anguix, Victor (editor)
Lang, Jérôme (editor)
Serramia, Marc (editor)
Date
2023
Abstract
People’s awareness about the importance of healthy lifestyles is rising. This opens new possibilities for personalized intelligent health and coaching applications. In particular, there is a need for more than simple recommendations and mechanistic interactions. Recent studies have identified nutrition virtual coaching systems (NVC) as a technological solution, possibly bridging technologies such as recommender, informative, persuasive, and argumentation systems. Enabling NVC to explain recommendations and discuss (argument) dietary solutions and alternative items or behaviors is crucial to improve the transparency of these applications and enhance user acceptability and retain their engagement. This study primarily focuses on virtual agents personalizing the generation of food recipes recommendation according to users’ allergies, eating habits, lifestyles, nutritional values, etc. Although the agent would nudge the user to consume healthier food, users may tend to object in favor of tastier food. To resolve this divergence, we propose a user-agent negotiation interacting over the revision of the recommendation (via feedback and explanations) or convincing (via explainable arguments) the user of its benefits and importance. Finally, the paper presents our initial findings on the acceptability and usability of such a system obtained via tests with real users. Our preliminary experimental results show that the majority of the participants appreciate the ability to express their feedback as well as receive explanations of the recommendations, while there is still room for improvement in the persuasiveness of the explanations.
To reference this document use:
http://resolver.tudelft.nl/uuid:7ac58bc5-097f-4fd5-8d2d-63502e20be1c
DOI
https://doi.org/10.1007/978-3-031-21203-1_2
Publisher
Springer
Embargo date
2023-07-01
ISBN
9783031212024
Source
PRIMA 2022: Principles and Practice of Multi-Agent Systems - 24th International Conference, Proceedings
Event
24th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, 2022-11-16 → 2022-11-18, Valencia , Spain
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 13753 LNAI
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2023 Berk Buzcu, Vanitha Varadhajaran, Igor Tchappi, Amro Najjar, Davide Calvaresi, Reyhan Aydoğan