Explanation-based negotiation protocol for nutrition virtual coaching

Name: Explanation-based negotiation protocol for nutrition virtual coaching
Author: Buzcu, Berk, Varadhajaran, V., Tchappi, I., Najjar, A., Calvaresi, D., Aydoğan, Reyhan

İsim	Explanation-based negotiation protocol for nutrition virtual coaching
Yazar	Buzcu, Berk, Varadhajaran, V., Tchappi, I., Najjar, A., Calvaresi, D., Aydoğan, Reyhan
Basım Tarihi:	2023
Basım Yeri	- ACM
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-303121202-4
Kayıt Numarası	e246bf57-a493-4582-b27f-e3104e57dcaa
Lokasyon	Computer Science
Tarih	2023
Notlar	Italian Ministry for Universities and Research ; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung ; Fonds National de la Recherche Luxembourg ; CHIST-ERA ; TÜBİTAK
Örnek Metin	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.
DOI	10.1007/978-3-031-21203-1_2

Kaynağa git Özyeğin Üniversitesi

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Özyeğin Üniversitesi

Kaynağa git

Explanation-based negotiation protocol for nutrition virtual coaching

Yazar Buzcu, Berk, Varadhajaran, V., Tchappi, I., Najjar, A., Calvaresi, D., Aydoğan, Reyhan

Basım Tarihi 2023

Basım Yeri - ACM

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-303121202-4

Kayıt Numarası e246bf57-a493-4582-b27f-e3104e57dcaa

Lokasyon Computer Science

Tarih 2023

Notlar Italian Ministry for Universities and Research ; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung ; Fonds National de la Recherche Luxembourg ; CHIST-ERA ; TÜBİTAK

Örnek Metin 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.

DOI 10.1007/978-3-031-21203-1_2