Affect-aware conversational adaptation in mixed reality procedural tasks
A mixed-reality conversational system that integrates voice interaction, LLM-driven dialogue, and prosody-based affect-aware adaptation with a modular client–server architecture is presented, enabling emotion-related cues inferred from vocal prosody to be incorporated without interrupting conversational flow.