Human Factors and Ergonomics Lab (HFEL)
On November 5th, our lab hosted Early admission students as part of the Hello! KAIST program. Lab members presented their projects and demonstrated KAIST’s advanced research facilities. The visit inspired students and highlighted our supportive...
Our lab actively participated in the IEA 2024 Conference, contributing to multiple sessions: Presentations: Safety limits for obstacle crossing in virtual vs. real environments (Seonghyeok Park, Shuping Xiong) Augmented reality interaction optimization (Hojeong Lee,...
We are excited to announce that Tiejun Ma has published their latest research in the International Journal of Industrial Ergonomics. Publication Details Effects of Passive Shoulder-Support Exoskeleton Entity and Support Force on User Range...
Our lab is proud to announce that the project “Cross-Reality Smart Training: Forerunner in Personalized Minimally Invasive Surgical Training Based on XR Holistic Simulation” has won a Gold Award at the 2023 China International...
Yuhwa Hong, PhD Program Yuhwa will join our team this fall after earning her Master’s degree in Industrial Engineering from Yonsei University. She will be conducting research in VR, industrial design, and user-centered engineering....
Doil Kim’s research paper on “Enhancing Worker Safety: Real-time Automated Detection of Personal Protective Equipment to Prevent Falls from Heights at Construction Sites Using Improved YOLOv8 and Edge Devices” has been published in the...
Congratulations to Erik Jonathan and Karin Rizky Irminanda for completing their Master’s degree successfully! Hope both of them have a good future!
Erik Jonathan’s research paper on the influence of exoskeleton on static balance has been accepted by Ergonomics, the leading journal in the field of ergonomics! Congratulations! Erik Jonathan and Shuping Xiong* (2024) “Influence of...
Congratulations to Yu, Ma, Erik, Park, Doil, Zhu, and Hojeong! Yu X, Wan J, An G, Yin X, Xiong S*, 2024. A Novel Semi-supervised Model for Pre-impact Fall Detection with Limited Fall Data. Engineering...
