Published on in Vol 13 (2026)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80979, first published .
AI-Enhanced Conversational Agents for Personalized Asthma Support in People With Asthma: Factors for Engagement, Value, and Efficacy in a Cross-Sectional Survey Study

AI-Enhanced Conversational Agents for Personalized Asthma Support in People With Asthma: Factors for Engagement, Value, and Efficacy in a Cross-Sectional Survey Study

AI-Enhanced Conversational Agents for Personalized Asthma Support in People With Asthma: Factors for Engagement, Value, and Efficacy in a Cross-Sectional Survey Study

Laura Moradbakhti   1 , Dr Phil ;   Dorian Peters   2 , PhD ;   Jennifer K Quint   1 , PhD ;   Björn Schuller   3 , Dr-Ing ;   Darren Cook   1 , PhD ;   Rafael A Calvo   1 , PhD

1 Dyson School of Design Engineering, Faculty of Engineering, Imperial College London, South Kensington Campus, London, United Kingdom

2 Institute for Technology and Humanity, University of Cambridge, Cambridge, United Kingdom

3 Department of Computing, Faculty of Engineering, Imperial College London, London, United Kingdom

Corresponding Author:

  • Laura Moradbakhti, Dr Phil
  • Dyson School of Design Engineering, Faculty of Engineering
  • Imperial College London, South Kensington Campus
  • 25 Exhibition Road
  • London SW7 2AZ
  • United Kingdom
  • Email: l.moradbakhti@imperial.ac.uk