Improving patient information disclosure is the premise to ensure treatment effect. This study explores the effects of different interaction modes (human doctor, AI doctor, and the combination of the two) and different degrees of privacy concerns on patients’ self-disclosure behavior. The research results will provide academic and practical implications for improving the application of artificial intelligence in telemedicine services.
목차
Abstract Introduction Literature Review Hypotheses Research Method Expected Result and Future Study Significance of the Study Acknowledgements References
저자
Xin Liu [ School of Management and Economics Beijing Institute of Technology ]
Ping Li [ School of Management and Economics Beijing Institute of Technology ]
Lu Liu [ School of Management and Economics Beijing Institute of Technology ]
Younghoon Chang [ School of Management and Economics Beijing Institute of Technology ]
Corresponding author