Zirui Lan

Papers

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About

Dr. Zirui Lan is a pioneering researcher at the intersection of cognitive neuroscience and human-robot interaction, with a primary focus on understanding how humans perceive and emotionally respond to robotic designs. His most cited work, "Detection of Humanoid Robot Design Preferences Using EEG and Eye Tracker" (2019, 19 citations), represents a groundbreaking approach to evaluating robot aesthetics by combining electroencephalography (EEG) with eye-tracking technology. This study directly addresses the critical challenge of why many modern humanoid robots fail to appeal to users due to their simplistic or unappealing designs. By measuring neural and visual attention responses, Lan provides data-driven recommendations for designers to create more engaging and aesthetically pleasing robots. His interdisciplinary methodology bridges cognitive science, design psychology, and robotics, offering a novel framework for user-centered robot development. Though early in his career, Lan's work has already influenced how researchers approach human-robot interaction, emphasizing the importance of subconscious neural responses over traditional self-report measures. His contributions are particularly valuable for students and researchers seeking to understand the neural underpinnings of design preferences, with potential applications in social robotics, assistive technology, and human-computer interaction.