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

Journals

  1. Ittarat M, Cheungpasitporn W, Chansangpetch S. Personalized Care in Eye Health: Exploring Opportunities, Challenges, and the Road Ahead for Chatbots. Journal of Personalized Medicine 2023;13(12):1679 View
  2. Arnold V, Purnat T, Marten R, Pattison A, Gouda H. Chatbots and COVID-19: Taking Stock of the Lessons Learned. Journal of Medical Internet Research 2024;26:e54840 View