Authors: Yue Zhou, Barbara Di Eugenio, Brian Ziebart, Lisa Sharp, Bing Liu, Ben Gerber, Nikolaos Agadakos, Shweta Yadav
Published on: April 13, 2024
Impact Score: 8.0
Arxiv code: Arxiv:2404.08888
Summary
- What is new: A dialogue system that combines simplified NLU and NLG with empathetic response generation for health coaching.
- Why this is important: Health coaching is effective but often too expensive and personalized, making it inaccessible for many.
- What the research proposes: A modularized health coaching dialogue system that’s more accessible and can generate empathetic responses to help patients achieve their health goals.
- Results: The system generates more empathetic, fluent, and coherent responses and outperforms the state-of-the-art in NLU tasks with less annotation required.
Technical Details
Technological frameworks used: Simplified NLU and NLG frameworks
Models used: Mechanism-conditioned empathetic response generation model
Data used: Limited real-world health coaching datasets
Potential Impact
Health coaching services, mental health platforms, and chronic disease management industry
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