Email this article A Conceptual Framework for the Development of Chatbots Addressing COVID-19 Vaccine Hesitancy
- Authors: Neog D.R.1, Grover R.1, Ransing R.2, Ramalho R.3
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Affiliations:
- Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati
- BKL Walwalkar Rural Medical College
- University of Auckland
- Issue: Vol 30, No 4 (2022)
- Pages: 575-580
- Section: Letter in edition
- URL: https://journals.rcsi.science/pavlovj/article/view/252596
- DOI: https://doi.org/10.17816/PAVLOVJ91196
- ID: 252596
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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.
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##article.viewOnOriginalSite##About the authors
Debanga Raj Neog
Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati
Email: dneog@iitg.ac.in
ORCID iD: 0000-0002-2794-4787
B. Tech., PhD, Assistant Professor
India, GuwahatiRhythm Grover
Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology Guwahati
Email: rhythmgrover@iitg.ac.in
ORCID iD: 0000-0002-0759-7554
MSc, PhD (Statistics), Assistant Professor
India, GuwahatiRamdas Ransing
BKL Walwalkar Rural Medical College
Author for correspondence.
Email: ramdas_ransing123@yahoo.co.in
ORCID iD: 0000-0002-5040-5570
MD, Associate Professor
India, RatnagiriRodrigo Ramalho
University of Auckland
Email: r.ramalho@auckland.ac.nz
ORCID iD: 0000-0002-2372-6854
MD, PhD, Senior Lecturer
New Zealand, AucklandReferences
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