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Human–AI co-research on design and evaluation of Embodied Conversational Agent in rehabilitation contexts
0
Zitationen
3
Autoren
2026
Jahr
Abstract
The results suggest that co-AI DBR can support early design and evaluation of ECAs when direct patient testing is limited. By combining synthetic patient generation with real-code execution, generative AI supports iterative knowledge building during the prototyping and refinement of LLM-based ECAs. This methodology enables the practical development of ECA to support home-based post-stroke rehabilitation.
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