Tiffany Wun
Papers
1
Total Citations
10
H-Index
1
About
Tiffany Wun is a researcher at the intersection of human-robot interaction, performance arts, and creative AI, exploring how robots can become collaborative partners in live improvisational theatre. Her most-cited work, "Improvising with an Audience-Controlled Robot Performer" (2018, 10 citations), introduces the Robot Improv Puppet Theatre (RIPT) system, a groundbreaking platform where audience members collectively control a robot performer in real-time. This work addresses the challenge of scaling audience engagement in unscripted performances, allowing spectators to influence narrative direction and randomness—key elements of improv. Wun’s contributions have been recognized for bridging technical robotics with the spontaneity of live theatre, offering new models for human-machine co-creation. Her research not only advances human-robot collaboration in creative contexts but also provides insights into mediating large-group interactions. As a rising scholar, Wun’s work has been presented at venues like HRI and TEI, and she continues to push boundaries in designing interactive robotic systems that empower audiences and performers alike.
Research Focus
Key Achievements
Top Papers
- 1Improvising with an Audience-Controlled Robot Performer10 citations · 2018