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Publicação
Operacionalização de Técnicas de Mudança Comportamental em Agentes Conversacionais
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Autores
Resumo(s)
As intervenções no âmbito de mudança comportamental concretizadas através de aplicações de saúde eletrónica e móvel (eHealth e mHealth) estão a revolucionar as maneiras pelas quais os indivíduos podem monitorizar e melhorar os seus comportamentos e cuidados de saúde, melhorando os resultados, a experiência do paciente, e reduzindo custos. Partindo do trabalho realizado no âmbito do projeto VASelfCare, focado no uso de técnicas de mudança comportamental bem estabelecidas numa intervenção mHealth baseada num agente conversacional, este trabalho propõe uma nova arquitetura para o design de agentes conversacionais no âmbito de uma intervenção de mudança comportamental. Esta nova abordagem procura ultrapassar algumas das limitações apresentadas pelo agente precedente, combinando o uso de uma plataforma de linguagem natural avançada (Dialogflow) com a representação explícita, numa ontologia, de como as técnicas de mudança comportamental podem ser operacionalizadas. E exposto o modo de conceção e integração destes dois componentes no sistema, bem como o aspeto mais desafiador de utilizar os recursos avançados da plataforma de forma que permita ao agente conduzir o fluxo do diálogo e recorrer ao módulo de conhecimento externo, quando necessário. Foi construída uma prova de conceito bem-sucedida, que pretende servir de base para o desenvolvimento de agentes conversacionais avançados, combinando ferramentas de linguagem natural com representação de conhecimento baseado numa ontologia.
Behavior change interventions delivered through eHealth and mHealth applications are revolutionizing the ways in which individuals can monitor and improve their behaviors and health care, improving outcomes, the overall patient experience, and reducing costs. Based on the work carried out within the scope of the VASelfCare project, focused on the use of well-established behavior change techniques in an mHealth intervention based on a conversational agent, this work proposes a new architecture for the design of conversational agents within the scope of a behavior change intervention. This new approach seeks to overcome some of the limitations presented by the previous agent, combining the use of an advanced natural language platform (Dialogflow) with the explicit representation, in an ontology, of how behavior change techniques can be operationalized. It’s exposed the process of designing and integrating these two components into the system, as well as the most challenging aspect of using the advanced features of the platform in a way that would allow the agent to conduct the dialogue flow and use the external knowledge module, when necessary. A successful proof of concept was built, which aims to serve as base for the development of advanced conversational agents, combining natural language tools with ontology based knowledge representation.
Behavior change interventions delivered through eHealth and mHealth applications are revolutionizing the ways in which individuals can monitor and improve their behaviors and health care, improving outcomes, the overall patient experience, and reducing costs. Based on the work carried out within the scope of the VASelfCare project, focused on the use of well-established behavior change techniques in an mHealth intervention based on a conversational agent, this work proposes a new architecture for the design of conversational agents within the scope of a behavior change intervention. This new approach seeks to overcome some of the limitations presented by the previous agent, combining the use of an advanced natural language platform (Dialogflow) with the explicit representation, in an ontology, of how behavior change techniques can be operationalized. It’s exposed the process of designing and integrating these two components into the system, as well as the most challenging aspect of using the advanced features of the platform in a way that would allow the agent to conduct the dialogue flow and use the external knowledge module, when necessary. A successful proof of concept was built, which aims to serve as base for the development of advanced conversational agents, combining natural language tools with ontology based knowledge representation.
Descrição
Trabalho de projeto do mestrado, Informática, Universidade de Lisboa, Faculdade de Ciências, 2022
Palavras-chave
Agentes Conversacionais Ontologias Plataformas de Dialogo Intervenções de Mudança Comportamental Trabalhos de projeto de mestrado - 2022