Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Admin (Ivan Eggel) for a login account.
 [BibTeX] [RIS]
Social Network Chatbots for Smoking Cessation: Agent and Multi-Agent Frameworks
Publicatietype: Proceedings
Citatie:
Tijdschrift: Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence Web Intelligence 2019
Jaar: 2019
Maand: Oktober
DOI: https://doi.org/10.1145/3350546.3352532
Samenvatting: 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.
Trefwoorden:
Auteurs Calvaresi, Davide
Calbimonte, Jean-Paul
Dubosson, Fabien
Najjar, Amro
Schumacher, Michael
Toegevoegd door: []
Totaalscore: 0
Bestanden
  • wi19-39.pdf
Aantekeningen
    Onderwerpen