Open AccessDeveloping chatbots in the field of healthcare: A systematic review
Author(s) -
Haniel Gomes Cavalcante,
Thaís de Almeida Barros,
Ricardo Antônio Rebouças Celestino,
Daniel Gleison Moreira Lira,
Francisco Vinicius Nascimento da Silva,
Pedro Henrique Araújo de Brito,
Mariela I. Cortés
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/enucompi.2021.17771
Subject(s) - computer science , health care , context (archaeology) , face (sociological concept) , data science , chatbot , covid-19 , field (mathematics) , pandemic , work (physics) , applications of artificial intelligence , human–computer interaction , artificial intelligence , medicine , engineering , sociology , political science , mechanical engineering , paleontology , social science , mathematics , disease , pathology , infectious disease (medical specialty) , pure mathematics , law , biology
Considering the context of Computer Science, chatbots are computer programs that use Artificial Intelligence techniques to simulate human behavior in dialogues. The use of chatbots applied to the health area has been growing, especially in scenarios for dealing with pandemics, such as COVID-19, as they help to avoid the burden of face-to-face care. Thus, this article proposes a systematic review of the work carried out in this line of research. After the review, it was found which technologies, strategies and frameworks are most used in recent times, as well as which specific areas of health are having more focus on the use of chatbots.