Modularized Feedback System for SOPHIE (Standardized Online Patient for Healthcare Interaction Education)
Overview: SOPHIE Feedback is an integral component of the SOPHIE project, designed to enhance medical education. The SOPHIE project utilizes large language models and high-fidelity human avatars, aiming to train medical students in sensitive areas such as end-of-life conversations.
Current Version: For an overview of the most recent version of the SOPHIE project, please visit: SOPHIE Project - ROC-HCI.
Functionality: The SOPHIE Feedback system is a specialized component of the SOPHIE project, focusing on the post-processing and delivery of feedback:
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Preprocessing Phases:
- Simulation and Training: Users interact with an AI-driven bot, simulating end-of-life conversations. This realistic practice is essential for developing the skills needed in delicate medical scenarios.
- Skill Assessment and Feedback: Each sentence spoken by the user is analyzed and tagged with relevant communication skills. This analysis serves as the basis for feedback.
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Feedback Delivery: Once the preprocessing phases are complete, the SOPHIE Feedback system takes over to efficiently deliver the results:
- Interactive Flask Webpage: This output provides an interactive overview of the user's performance, highlighting areas of strength and those needing improvement.
- Detailed PDF Report: The system generates a comprehensive PDF report detailing the user's conversational skills, with specific feedback tailored to their performance.
The SOPHIE project is a research initiative developed within the University of Rochester's ROC-HCI Lab.