Achieving trust in health-behavior-change artificial intelligence apps (HBC-AIApp) development: A multi-perspective guide.

Journal: Journal of biomedical informatics
PMID: 37276948

Abstract

OBJECTIVE: Trust determines the success of Health-Behavior-Change Artificial Intelligence Apps (HBC-AIApp). Developers of such apps need theory-based practical methods that can guide them in achieving such trust. Our study aimed to develop a comprehensive conceptual model and development process that can guide developers how to build HBC-AIApp in order to support trust creation among the app's users.

Authors

  • Meira Levy
    School of Industrial Engineering and Management, Shenkar, the College of Engineering Design and Art, Ramat-Gan, Israel; Department of Information Systems, University of Haifa, Haifa, Israel. Electronic address: lmeira@shenkar.ac.il.
  • Michal Pauzner
    The Visual Communication Department, Shenkar, the College of Engineering Design and Art, Ramat-Gan, Israel.
  • Sara Rosenblum
    Department of Occupational Therapy, University of Haifa, Haifa, Israel.
  • Mor Peleg
    Department of Information Systems, University of Haifa, Rabin Bldg., 3498838 Haifa, Israel.

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