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Large Language Model–Based Agents for Physical Activity and Cognitive Training: Scoping Review
0
Zitationen
8
Autoren
2026
Jahr
Abstract
LLM-based conversational agents have demonstrated early promise for supporting PA and emerging approaches to cognitive training, yet the current evidence remains exploratory and methodologically limited. Key challenges persist, including inconsistent reporting of prompts, reliance on proprietary models with limited reproducibility, and a lack of standardized outcome measures. More rigorous and transparently documented evaluations of these tools are required to strengthen the evidence base and guide future development.
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