Sunghee Lee

Papers

Total Citations

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About

Sunghee Lee is a leading researcher in human-automation interaction and intelligent transportation systems, with a particular focus on user acceptance of autonomous vehicle services. Her most-cited work, "Effect of Robo-Taxi User Experience on User Acceptance: Field Test Data Analysis" (2021, 19 citations), provides groundbreaking insights into how real-world interaction with self-driving taxis shapes public trust and adoption. By conducting field tests with actual users, Lee demonstrated that direct experience significantly mitigates safety-related skepticism—a critical finding for the commercialization of autonomous mobility. Her research bridges the gap between technological capability and human factors, offering empirical evidence that perceived risk decreases as users gain firsthand familiarity with robo-taxis. This work has been instrumental for policymakers and industry leaders seeking to design user-centered deployment strategies. Lee’s contributions extend beyond academia, influencing how autonomous vehicle services are introduced to the public. Her studies underscore that successful adoption hinges not just on technical reliability but on crafting positive user experiences that build confidence. For students and researchers, Lee’s work exemplifies how field data can transform theoretical concerns into actionable solutions for emerging technologies.