Explainable AI; Interactive; Nutrition virtual coach; Recommender systems; Argumentation systems; Data driven; Healthy lifestyles; Human machine interaction; Mechanistics; User engagement; Users' acceptance; Artificial Intelligence
Abstract :
[en] The awareness about healthy lifestyles is increasing, opening to personalized intelligent health coaching applications. A demand for more than mere suggestions and mechanistic interactions has driven attention to nutrition virtual coaching systems (NVC) as a bridge between human-machine interaction and recommender, informative, persuasive, and argumentation systems. NVC can rely on data-driven opaque mechanisms. Therefore, it is crucial to enable NVC to explain their doing (i.e., engaging the user in discussions (via arguments) about dietary solutions/alternatives). By doing so, transparency, user acceptance, and engagement are expected to be boosted. This study focuses on NVC agents generating personalized food recommendations based on user-specific factors such as allergies, eating habits, lifestyles, and ingredient preferences. In particular, we propose a user-agent negotiation process entailing run-time feedback mechanisms to react to both recommendations and related explanations. Lastly, the study presents the findings obtained by the experiments conducted with multi-background participants to evaluate the acceptability and effectiveness of the proposed system. The results indicate that most participants value the opportunity to provide feedback and receive explanations for recommendations. Additionally, the users are fond of receiving information tailored to their needs. Furthermore, our interactive recommendation system performed better than the corresponding traditional recommendation system in terms of effectiveness regarding the number of agreements and rounds.
Disciplines :
Computer science
Author, co-author :
Buzcu, Berk; Computer Science, Özyeğin University, Istanbul, Turkey ; University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis), Sierre, Switzerland
Tessa, Melissa; Computer Science, High National School of Computer Science ESI ex-INI, Algiers, Algeria
TCHAPPI HAMAN, Igor ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
NAJJAR, Amro ; University of Luxembourg ; Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg
HULSTIJN, Joris ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Calvaresi, Davide; University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis), Sierre, Switzerland
Aydoğan, Reyhan; Computer Science, Özyeğin University, Istanbul, Turkey ; Interactive Intelligence, Delft University of Technology, Delft, The Netherlands ; University of Alcala, Alcala de Henares, Spain
External co-authors :
yes
Language :
English
Title :
Towards interactive explanation-based nutrition virtual coaching systems.
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu CHIST-ERA Fonds National de la Recherche Luxembourg Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung University of Applied Sciences and Arts Western Switzerland
Funding text :
This work has been supported by the CHIST-ERA grant CHIST-ERA-19-XAI-005, and by the Swiss National Science Foundation (G.A. 20CH21_195530), the Italian Ministry for Universities and Research, the Luxembourg National Research Fund (G.A. INTER/CHIST/19/14589586), the Scientific and Research Council of Turkey (TÜBİTAK, G.A. 120N680).Open access funding provided by University of Applied Sciences and Arts Western Switzerland (HES-SO). This work has been supported by the CHIST-ERA grant CHIST-ERA-19-XAI-005, and by the Swiss National Science Foundation (G.A. 20CH21_195530), the Italian Ministry for Universities and Research, the Luxembourg National Research Fund (G.A. INTER/CHIST/19/14589586), the Scientific and Research Council of Turkey (TÜBİTAK, G.A. 120N680).
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