A study with 24 groups finds LLM intervention explanations in multi-party HRI emphasize facilitation, agreement, and flow, with stable patterns across conditions but role-based differences between mover and opposer robots.
Improving procedural skill explanations via constrained generation: A symbolic-llm hybrid architecture,
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LLM-assisted text-to-model approach generates 23 TMK models from course materials, cutting expert modeling time by 50-70% and supporting scalable procedural skill tutoring.
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Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach
LLM-assisted text-to-model approach generates 23 TMK models from course materials, cutting expert modeling time by 50-70% and supporting scalable procedural skill tutoring.