Journal Article2022Cited by 12

A Mobile Application-Based Relational Agent as a Health Professional for COVID-19 Patients: Design, Approach, and Implications

Ashraful Islam, Beenish Moalla Chaudhry

International Journal of Environmental Research and Public Health

Multidisciplinary Digital Publishing Institute, Vol. 19, Issue 21, pp. 13794, ISBN: 1660-4601

  • Good Health and Well-being — Relevance: 64%

Abstract

Relational Agents’ (RAs) ability to maintain socio-emotional relationships with users can be an asset to COVID-19 patients. The goal of this research was to identify principles for designing an RA that can act as a health professional for a COVID-19 patient. We first identified tasks that such an RA can provide by interviewing 33 individuals, who had recovered from COVID-19. The transcribed interviews were analyzed using qualitative thematic analysis. Based on the findings, four sets of hypothetical conversations were handcrafted to illustrate how the proposed RA will execute the identified tasks. These conversations were then evaluated by 43 healthcare professionals in a qualitative study. Thematic analysis was again used to identify characteristics that would be suitable for the proposed RA. The results suggest that the RA must: model clinical protocols; incorporate evidence-based interventions; inform, educate, and remind patients; build trusting relationships, and support their socio-emotional needs. The findings have implications for designing RAs for other healthcare contexts beyond the pandemic.

Keywords

  • relational agents
  • COVID-19 patients
  • evidence-based interventions
  • socioemotional support
  • chatbots
  • recovered COVID-19 patients
  • mobile health apps
  • health professionals' role
  • trust building

CCDS Authors

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

Beenish Moalla Chaudhry, PhD
Beenish Moalla Chaudhry, PhD

Beenish Moalla Chaudhry, PhD

  • Collaborator, HCI Wing

Associate Professor

School of Computing and Informatics

University of Louisiana at Lafayette

Published at

UIST, HCII, JMIR Human Factors, JMIR Formative Research

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  3. 3.Hee Jeong Han, Sanjana Mendu, Beth K Jaworski, Jason E Owen, Saeed Abdullah. (2023). Preliminary Evaluation of a Conversational Agent to Support Self-management of Individuals Living With Posttraumatic Stress Disorder: Interview Study With Clinical Experts. JMIR Formative Research, 7, e45894[10.2196/45894]
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  10. 10.Ashraful Islam, Beenish Moalla Chaudhry, Aminul Islam. (2024). RACares: a conceptual design to guide mHealth relational agent development based on a systematic review. mHealth, 10, 11[10.21037/mhealth-23-46]