This paper is in the following e-collection/theme issue:

Theme Issue (2020): Human Factors of the COVID-19 Outbreak (52) JMIR Theme Issue: COVID-19 Special Issue (2452) Chatbots and Conversational Agents (531) Theme Issue 2022: Chatbots and COVID-19 (42) Human Factors and Usability Case Studies (787) Early Results from COVID-19 Studies (299)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42740, first published .
Design Validation of a Relational Agent by COVID-19 Patients: Mixed Methods Study

Design Validation of a Relational Agent by COVID-19 Patients: Mixed Methods Study

Design Validation of a Relational Agent by COVID-19 Patients: Mixed Methods Study

Authors of this article:

Ashraful Islam1, 2, 3 Author Orcid Image ;   Beenish Moalla Chaudhry1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Ashraful Islam   1, 2, 3 , BSc, MSc, PhD ;   Beenish Moalla Chaudhry   1 , BA, MA, PhD

1 School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, United States

2 Center for Computational and Data Sciences, Independent University, Bangladesh, Dhaka, Bangladesh

3 Department of Computer Science and Engineering, Independent University, Bangladesh, Dhaka, Bangladesh

Corresponding Author:

  • Beenish Moalla Chaudhry, BA, MA, PhD
  • School of Computing and Informatics
  • University of Louisiana at Lafayette
  • James R Oliver Hall
  • 301 East Lewis Street
  • Lafayette, LA, 70503
  • United States
  • Phone: 1 337-482-1676
  • Email: beenish.chaudhry@louisiana.edu