Social network chatbots for smoking cessation : agent and multi-agent frameworks

Calvaresi, Davide (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Calbimonte, Jean-Paul (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Dubosson, Fabien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Schumacher, Michael (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Najjar, Amro (Umea University, Sweden)

Asynchronous messaging is leading human-machine interaction due to the boom of mobile devices and social networks. The recent release of dedicated APIs from messaging platforms boosted the development of computer programs able to conduct conversations, (i.e., chatbots), which have been adopted in several domain-specific contexts. This paper proposes SMAG: a chatbot framework supporting a smoking cessation program (JDF) deployed on a social network. In particular, it details the single-agent implementation, the campaign results, a multi-agent design for SMAG enabling the modelization of personalized behavior and user profiling, and highlighting of coupling chatbot technology with and multi-agent systems.


Mots-clés:
Type de conférence:
full paper
Faculté:
Economie et Services
Ecole:
HEG-VS
Institut:
Institut Informatique de gestion
Classification:
Informatique
Adresse bibliogr.:
Thessaloniki, Greece, 14-17 October 2019
Date:
2019-10
Thessaloniki, Greece
14-17 October 2019
Pagination:
Pp. 286-292
Publié dans:
Proceedings of WI '19 : IEEE/WIC/ACM International Conference on Web Intelligence
DOI:
ISBN:
9781450369343
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 Notice créée le 2020-05-12, modifiée le 2020-05-14

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