CompanionCast: Enhancing Social Co-Viewing with Multi-Agent Conversational AI and Spatial Audio
Analysis
This research explores a novel framework for enhancing social co-viewing experiences using multi-agent conversational AI and spatial audio. The paper's novelty likely lies in the integration of these technologies for a more immersive and interactive viewing experience, potentially offering a richer alternative to traditional solo consumption.
Key Takeaways
- •CompanionCast aims to create more engaging co-viewing experiences.
- •The framework integrates multi-agent AI for conversational interaction.
- •Spatial audio is employed to enhance the sense of presence and immersion.
Reference
“The framework utilizes multi-agent conversational AI and spatial audio.”