Xiaoyu Chang
Papers
3
Total Citations
27
H-Index
2
About
Xiaoyu Chang is an emerging researcher at the intersection of human-robot interaction, creative performance, and social robotics, with a focus on how humans perceive, collaborate with, and respond emotionally to robotic and drone-based systems. Chang's work explores the nuanced dynamics of co-performance between humans and machines, examining how spatial coordination and perceived agency shape the experience of improvised movement with drone partners — a study that has already garnered 18 citations since its 2024 publication. Equally compelling is Chang's investigation into service robot failures, particularly how unintended rejection events erode user trust and how thoughtful design interventions can facilitate recovery, earning 8 citations in its first year. Most recently, Chang has turned attention to collaborative choreography with robotic arms, probing how the introduction of physically manipulable technologies reshapes creative processes between dancers and machines. Across this body of work, Chang contributes a rare blend of performance studies sensibility and HRI rigor, offering designers, roboticists, and artists frameworks for building more responsive, trustworthy, and creatively generative human-machine partnerships. Chang's research is particularly valuable for students exploring the social and expressive dimensions of embodied robotics.
Research Focus
Key Achievements
Top Papers
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