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

RCTs - Protocols/Proposals (eHealth) (704) Chatbots and Conversational Agents (780) Artificial Intelligence (2319)

Published on in Vol 12 (2023)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42965, first published .
Assessing the Feasibility of a Text-Based Conversational Agent for Asthma Support: Protocol for a Mixed Methods Observational Study

Assessing the Feasibility of a Text-Based Conversational Agent for Asthma Support: Protocol for a Mixed Methods Observational Study

Assessing the Feasibility of a Text-Based Conversational Agent for Asthma Support: Protocol for a Mixed Methods Observational Study

Authors of this article:

Rafael A Calvo1 Author Orcid Image ;   Dorian Peters1 Author Orcid Image ;   Laura Moradbakhti1 Author Orcid Image ;   Darren Cook1 Author Orcid Image ;   Georgios Rizos2 Author Orcid Image ;   Bjoern Schuller2 Author Orcid Image ;   Constantinos Kallis3 Author Orcid Image ;   Ernie Wong3 Author Orcid Image ;   Jennifer Quint3 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

Journals

  1. Kallis C, Calvo R, Schuller B, Quint J. Development of an Asthma Exacerbation Risk Prediction Model for Conversational Use by Adults in England. Pragmatic and Observational Research 2023;Volume 14:111 View
  2. Talyshinskii A, Naik N, Hameed B, Juliebø-Jones P, Somani B. Potential of AI-Driven Chatbots in Urology: Revolutionizing Patient Care Through Artificial Intelligence. Current Urology Reports 2024;25(1):9 View
  3. Anisha S, Sen A, Bain C. Evaluating the Potential and Pitfalls of AI-Powered Conversational Agents as Humanlike Virtual Health Carers in the Remote Management of Noncommunicable Diseases: Scoping Review. Journal of Medical Internet Research 2024;26:e56114 View
  4. Cook D, Peters D, Moradbakhti L, Su T, Da Re M, Schuller B, Quint J, Wong E, Calvo R. A text-based conversational agent for asthma support: Mixed-methods feasibility study. DIGITAL HEALTH 2024;10 View
  5. Valan P, Venugopal P. Evaluating a retrieval-augmented pregnancy chatbot: a comprehensibility–accuracy-readability study of the DIAN AI assistant. Frontiers in Artificial Intelligence 2025;8 View
  6. Moradbakhti L, Peters D, Quint J, Schuller B, Cook D, Calvo R. AI-Enhanced Conversational Agents for Personalized Asthma Support in People With Asthma: Factors for Engagement, Value, and Efficacy in a Cross-Sectional Survey Study. JMIR Human Factors 2026;13:e80979 View

Books/Policy Documents

  1. Reese V, Santare J, Lee R, Maddahi Y, Verges D. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats, Volume 3. View