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.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Thessaloniki, Greece, 14-17 October 2019
Date:
2019-10
Thessaloniki, Greece
14-17 October 2019
Pagination:
Pp. 286-292
Published in:
Proceedings of WI '19 : IEEE/WIC/ACM International Conference on Web Intelligence
DOI:
ISBN:
9781450369343
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-05-12, last modified 2020-05-14

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