Angela Yang

University of Toronto

Papers

1

Total Citations

10

H-Index

1

About

Angela Yang is a rising leader in human-computer interaction, specializing in interactive robotics and video-mediated learning. Her research centers on designing autonomous camera systems that enhance how-to video production, particularly for instructors working without human camera operators. In her landmark paper, "Stargazer: An Interactive Camera Robot for Capturing How-To Videos Based on Subtle Instructor Cues" (2023, 10 citations), Yang introduced a novel robotic camera that interprets subtle physical cues—such as hand gestures or gaze direction—to autonomously frame and follow instructors during live demonstrations. This work bridges computer vision, robotics, and instructional design, enabling solo educators to produce professional-quality tutorials in fields like cooking, electronics prototyping, and crafts. By reducing production barriers, Yang’s contributions empower knowledge sharing and skill acquisition at scale. Her research has been recognized for its practical impact on accessible content creation, and she continues to explore how intelligent systems can support natural, intuitive human-machine collaboration. With a growing citation footprint and a clear focus on real-world applications, Yang is shaping the future of interactive video tools for education and beyond.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Stargazer: An Interactive Camera Robot for Capturing How-To Videos Based on Subtle Instructor Cues
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago