Seul Chan Lee

Virginia Tech, Gyeongsang National University

Papers

Total Citations

100

H-Index

About

Seul Chan Lee is a human-computer interaction researcher whose work centers on the design and evaluation of in-vehicle intelligent agents (IVIAs) within autonomous and semi-autonomous driving contexts. His research addresses a critical challenge in the field: how to build effective, trustworthy interfaces between humans and self-driving systems during a pivotal period of automotive technology transition. Lee's most significant contributions examine how agent characteristics — particularly speech style and physical embodiment — shape driver experience and performance. His 2019 and 2021 studies, each accumulating 40 citations, offer rare empirical comparisons between voice-only and robotic agents, revealing that embodiment and conversational speech styles meaningfully influence driver-agent interaction and trust formation. His 2022 work further demonstrates that conversational voice agents not only feel more natural to users but actively improve driving performance in conditionally automated vehicles — a finding with direct implications for reducing overreliance and distraction. With a total of approximately 100 citations across these three papers, Lee has established himself as a meaningful contributor to the growing field of autonomous vehicle UX design. His research is particularly valuable to designers and engineers seeking evidence-based guidelines for developing intelligent agents that foster appropriate trust without compromising safety.