CompanionCast
CompanionCast system workflow (adapted from the paper).Shared experiences are central to social connection, yet media consumption is increasingly solitary. CompanionCast is a general framework for orchestrating multiple specialized AI agents as social collaborators within a live shared context. It combines multimodal event detection, rolling context caching for better grounding, and spatial audio to enhance co-presence, with an LLM-as-a-judge step that refines the agents’ dialogue.
My role. I led this work, developed during a Ph.D. research internship at Dolby Laboratories. We validated CompanionCast in the domain of sports viewing; pilot studies with soccer fans showed significant improvements in perceived social presence and emotional sharing compared to viewing alone. The work was accepted at the ACM CHI 2026 Workshop on Human-Agent Collaboration.
