All Outputs (4)

Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments (2024)
Conference Proceeding
Casas, L., Mitchell, K., Tamariz, M., Hannah, S., Sinclair, D., Koniaris, B., & Kennedy, J. (in press). Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments.

We consider practical and social considerations of collaborating verbally with colleagues and friends, not confined by physical distance, but through seamless networked telepres-ence to interactively create shared virtual dance environments. In respo... Read More about Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments.

Expressive Talking Avatars (2024)
Journal Article
Pan, Y., Tan, S., Cheng, S., Lin, Q., Zeng, Z., & Mitchell, K. (in press). Expressive Talking Avatars. IEEE Transactions on Visualization and Computer Graphics, https://doi.org/10.1109/TVCG.2024.3372047

Stylized avatars are common virtual representations used in VR to support interaction and communication between remote collaborators. However, explicit expressions are notoriously difficult to create, mainly because most current methods rely on geome... Read More about Expressive Talking Avatars.

DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences (2024)
Conference Proceeding
Koniaris, B., Sinclair, D., & Mitchell, K. (in press). DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences.

DanceMark is an open telemetry framework designed for latency-sensitive real-time networked immersive experiences, focusing on online dancing in virtual reality within the DanceGraph platform. The goal is to minimize end-to-end latency and enhance us... Read More about DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences.

MoodFlow: Orchestrating Conversations with Emotionally Intelligent Avatars in Mixed Reality (2024)
Conference Proceeding
Casas, L., Hannah, S., & Mitchell, K. (in press). MoodFlow: Orchestrating Conversations with Emotionally Intelligent Avatars in Mixed Reality.

MoodFlow presents a novel approach at the intersection of mixed reality and conversational artificial intelligence for emotionally intelligent avatars. Through a state machine embedded in user prompts, the system decodes emotional nuances, enabling a... Read More about MoodFlow: Orchestrating Conversations with Emotionally Intelligent Avatars in Mixed Reality.