A Conceptual Framework for the Development of Chatbots Addressing COVID-19 Vaccine Hesitancy

D. R. Neog, Rhythm Grover, R. Ransing, R. Ramalho
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Abstract

Aim of this letter is to review Chatbots that answer questions of vaccine-hesitant people, their utility, and their limitations in addressing psycho-social determinants of COVID-19 vaccine hesitancy. The authors propose a conceptual framework that could guide the development of artificial intelligence-based Chatbots and summarise the salient features of the four Chatbots discussed in the literature today, developed to address COVID-19 vaccine hesitancy.
解决COVID-19疫苗犹豫问题的聊天机器人开发概念框架
这封信的目的是回顾聊天机器人,它们回答了疫苗犹豫者的问题,它们的效用,以及它们在解决COVID-19疫苗犹豫的心理社会决定因素方面的局限性。作者提出了一个概念框架,可以指导基于人工智能的聊天机器人的发展,并总结了今天文献中讨论的四种聊天机器人的显著特征,这些聊天机器人是为了解决COVID-19疫苗犹豫而开发的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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