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

Design and Evaluation of Patient Education Materials (117) Artificial Intelligence (2129) Chatbots and Conversational Agents (740) Machine Learning (2076) Natural Language Processing (917) Quality/Credibility of eHealth Information and Trust Issues (654) Electronic Health Records (1319) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (698)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41017, first published .
The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study

The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study

The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study

Authors of this article:

Joshua Biro1 Author Orcid Image ;   Courtney Linder1 Author Orcid Image ;   David Neyens1 Author Orcid Image
Article Authors Cited by (23) Tweetations (3) Metrics

Journals

  1. Garcia Valencia O, Suppadungsuk S, Thongprayoon C, Miao J, Tangpanithandee S, Craici I, Cheungpasitporn W. Ethical Implications of Chatbot Utilization in Nephrology. Journal of Personalized Medicine 2023;13(9):1363 View
  2. Ab Razak N, Muhammad Yusoff M, O.K. Rahmat R. ChatGPT Review: A Sophisticated Chatbot Models in Medical & Health-related Teaching and Learning. Malaysian Journal of Medicine and Health Sciences 2023;19(s12):98 View
  3. Abavisani M, Khoshrou A, Karbas Foroushan S, Sahebkar A. Chatting with artificial intelligence to combat antibiotic resistance: Opportunities and challenges. Current Research in Biotechnology 2024;7:100197 View
  4. Mastrokostas P, Mastrokostas L, Emara A, Wellington I, Ginalis E, Houten J, Khalsa A, Saleh A, Razi A, Ng M. GPT-4 as a Source of Patient Information for Anterior Cervical Discectomy and Fusion: A Comparative Analysis Against Google Web Search. Global Spine Journal 2024;14(8):2389 View
  5. Koscelny S, Neyens D. The Effect of Healthcare Chatbots’ Information Presentation Styles on User Acceptance in a Knowledge Seeking Task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2024;68(1):493 View
  6. Jin E, Ryoo Y, Kim W, Song Y. Bridging the health literacy gap through AI chatbot design: the impact of gender and doctor cues on chatbot trust and acceptance. Internet Research 2025;35(3):1299 View
  7. Kim T, Yu C, Hinson C, Fung E, Allam O, Nazerali R, Ayyala H. ChatGPT Virtual Assistant for Breast Reconstruction: Assessing Preferences for a Traditional Chatbot versus a Human AI VideoBot. Plastic and Reconstructive Surgery - Global Open 2024;12(10):e6202 View
  8. Yang Y, Tavares J, Oliveira T. A New Research Model for Artificial Intelligence–Based Well-Being Chatbot Engagement: Survey Study. JMIR Human Factors 2024;11:e59908 View
  9. Anjulo Lambebo E, Chen H. Chatbots in higher education: a systematic review. Interactive Learning Environments 2025;33(4):2781 View
  10. Young A, Omosun F. A comparative analysis of CDC and AI-generated health information using computer-aided text analysis. Journal of Communication in Healthcare 2025;18(3):205 View
  11. Koscelny S, Sadralashrafi S, Neyens D. Generative AI responses are a dime a dozen; Making them count is the challenge – Evaluating information presentation styles in healthcare chatbots using hierarchical Bayesian regression models. Applied Ergonomics 2025;128:104515 View
  12. Choi К, Fitzek S. User and Provider Experiences With Health Education Chatbots: Qualitative Systematic Review. JMIR Human Factors 2025;12:e60205 View
  13. Nguyen O, Ahmad A, Wiegmann D. Correlates of Trust of Generative Artificial Intelligence Tools Among Patients and Caregivers: A Review of Empirical Research. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2025;69(1):1656 View
  14. Chen C, He J. Dialogue Cues in Telecare Dialogue Agents: The Impact of Text Dialogue Methods and Dialogue Prompt Types on User Perceptions and Behaviors. International Journal of Human–Computer Interaction 2025:1 View
  15. Shamszare H, Chaudhry Z, Berenji M, Choudhury A. Conceptualizing Clinicians’ Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Thinking Approach. IEEE Access 2025;13:119601 View
  16. Sadralashrafi S, Neyens D, Lee Y. Users Willingness to Use Healthcare Chatbot and its Perceived Impact on Health Self-Management: A Survey Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2025;69(1):2041 View
  17. Ahn J, Kim M. Autonomous AI Agents for Multi-Platform Social Media Marketing: A Simultaneous Deployment Study. Electronics 2025;14(21):4161 View

Books/Policy Documents

  1. Visakh P, Meena P, Anoop V. Multi-disciplinary Trends in Artificial Intelligence. View
  2. Khan A, Zeb I, Fang S. Chatbots and Mental Healthcare in Psychology and Psychiatry. View
  3. Tseng Y, Chen S, Mah K, Chen Y. Cross-Cultural Design. View

Conference Proceedings

  1. Wang X, Tulk Jesso S, Kojaku S, Neyens D, Kim M. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communication View
  2. Liang M, Wang J, Luo Y. Proceedings of the 7th ACM Conference on Conversational User Interfaces. SmartEats: Investigating the Effects of Customizable Conversational Agent in Dietary Recommendations View
  3. Liew K, Wu X, Zhang Z. 2025 IEEE Conference on Artificial Intelligence (CAI). Trust, Support, and Adoption Intentions Towards Generative AI are Context Dependent View