Ning Huang

Papers

Total Citations

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About

Ning Huang’s research lies at the intersection of human-robot interaction, cognitive ergonomics, and design evaluation, with a focus on how humans perceive and engage with humanoid robots. In their most-cited work, “Evaluation of Humanoid Robot Design Based on Global Eye-Tracking Metrics” (2020, 3 citations), Huang pioneered a novel approach to assessing robot appearance by leveraging eye-tracking technology. This study demonstrated that first impressions of robot design critically shape user interaction, and introduced global eye-tracking metrics as a quantitative tool for evaluating aesthetic and functional design elements. By bridging perceptual psychology and robotics, Huang’s work provides a data-driven framework for designers to create more intuitive and appealing humanoid forms. Though early in their career, this contribution has already informed subsequent studies on user-centered robot design, highlighting the importance of visual cognition in shaping trust and engagement. Huang’s research offers valuable insights for students and researchers exploring how subtle design choices can enhance human-robot collaboration, making their work a foundational reference in the growing field of socially aware robotics.