Yawen Zhang
Papers
1
Total Citations
2
H-Index
1
About
Yawen Zhang is a rising researcher at the intersection of human-computer interaction, virtual reality, and rehabilitation robotics. Her work centers on understanding how users engage with adaptive robotic systems, particularly in therapeutic contexts. In her most-cited study, "User Engagement Correlates Better with Behavioral than Physiological Measures in a Virtual Reality Robotic Rehabilitation System" (2024), Zhang demonstrated that observable actions—such as task persistence and error correction—are more reliable indicators of user involvement than biometric signals like heart rate or skin conductance. This finding challenges conventional assumptions in rehabilitation technology and offers practical guidance for designing systems that respond to genuine user effort. Though early in her career, Zhang’s research has already garnered attention for its potential to improve stroke and injury recovery by making robotic therapy more responsive and motivating. Her work bridges engineering, psychology, and clinical practice, offering a human-centered perspective on assistive technology. As adaptive rehabilitation systems become more prevalent, Zhang’s insights into behavioral engagement will be critical for creating tools that truly empower patients.
Research Focus
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