Papers
8
Total Citations
169
H-Index
4
About
Lewis L. Chuang is a leading researcher in human-machine interaction, neuroergonomics, and teleoperation, with a focus on how haptic feedback and augmented reality (AR) can enhance human performance in complex robotic systems. His major contributions include pioneering work on haptic cueing for teleoperation of multiple robots, where he demonstrated that force feedback significantly improves operator maneuverability and perceptual awareness—key findings published in his highly cited 2012 paper (74 citations). Chuang also advanced the understanding of social presence in AR through his 2022 study on proxemics for human-agent interaction (56 citations), showing how virtual agents’ personal space affects user behavior and arousal. His research has been recognized for its practical impact on training and design, as seen in his work on bimanual control of robotic arms and the application of Fitts’ law to movement difficulty. Chuang’s interdisciplinary approach, combining neuroscientific methods like EEG and fNIRS with engineering, has been showcased in symposia on neuroergonomics, underscoring his role in bridging cognitive science and robotics. With over 150 citations across his most-cited works, Chuang’s insights are essential for students and researchers designing intuitive, safe, and effective human-robot interfaces.
Research Focus
Key Achievements
Top Papers
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- 2Proxemics for Human-Agent Interaction in Augmented Reality56 citations · 2022
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- 8Symposium on Neuroergonomics: Using neuroscientific methods to understand the brain at work2 citations · 2018