학술논문

Validating a virtual human and automated feedback system for training doctor-patient communication skills
Document Type
Conference
Source
2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII) Affective Computing and Intelligent Interaction (ACII), 2023 11th International Conference on. :1-8 Sep, 2023
Subject
Computing and Processing
Signal Processing and Analysis
Training
Ethics
Affective computing
Aggregates
Sociology
Medical services
Chatbots
Doctor-Patient Communication
Artificial Intelligence
Web-based Feedback System
Language
ISSN
2156-8111
Abstract
Effective communication between a clinician and their patient is critical for delivering healthcare maximizing outcomes. Unfortunately, traditional communication training approaches that use human standardized patients and expert coaches are difficult to scale. Here, we present the development and validation of a scalable, easily accessible, digital tool known as the Standardized Online Patient for Health Interaction Education (SOPHIE) for practicing and receiving feedback on doctor-patient communication skills. SOPHIE was validated by conducting an experiment with 30 medical professionals. We found that participants who underwent SOPHIE condition performed significantly better than the control in overall communication, aggregate scores, empowering the patient, and showing empathy (p < 0.05 in all cases). The results presented in this paper provide early evidence of scalable and accessible virtual humans, chatbot technologies, and automated feedback generation being transformative for medical communication training by supplementing existing resources.