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Operationalizing Behavior Change Techniques in Conversational Agents

  • Maria Inês Bastos
  • , Ana Paula Cláudio
  • , Isa Brito Félix
  • , Mara Pereira Guerreiro
  • , Maria Beatriz Carmo
  • , João Balsa

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2 Citações (Scopus)

Resumo

Departing from previous work on the use of well-established behavior change techniques in an mHealth intervention based on a conversational agent (CA), we propose in this contribution a new architecture for the design of behavior change CAs. This novel approach combines the use of an advanced natural language platform (Dialogflow) with the explicit representation, in an ontology, of how behavior change techniques can be operationalized. The integration of these two components is explained, as well as the most challenging aspect of using the advanced features of the platform in a way that allowed the agent to lead the dialogue flow, when needed. A successful proof of concept was built, which can be the basis for the development of advanced conversational agents, combining natural language tools with ontology-based knowledge representation.

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Título da publicação do anfitriãoICAART 2022 - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - (Volume 1)
EditoresAna Paula Rocha, Luc Steels, Jaap van den Herik
EditoraScience and Technology Publications, Lda
Páginas216-224
Número de páginas9
ISBN (impresso)9789897585470
DOIs
Estado da publicação???researchoutput.status.published??? - 2022
Publicado externamenteSim
Evento14th International Conference on Agents and Artificial Intelligence , ICAART 2022 - Virtual, Online
Duração: 3 fev. 20225 fev. 2022

Série de publicação

NomeInternational Conference on Agents and Artificial Intelligence
Volume1
ISSN (impresso)2184-3589
ISSN (eletrónico)2184-433X

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???event.eventtypes.event.conference???14th International Conference on Agents and Artificial Intelligence , ICAART 2022
CidadeVirtual, Online
Período3/02/225/02/22

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