HFES Extended Reality Training Group Webinar: Exploring the 2024 Extended Reality (XR) TG Student Best Papers
Includes a Live Web Event on 11/20/2024 at 1:30 PM (EST)
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This Webinar was organized by HFES' Extended Reality Training Group
This webinar will feature the submissions of the students who won the Best Paper, Second Place, and Honorable Mention during the 2024 ASPIRE conference. The presenters will review their papers in a more casual setting to encourage a discussion with other HFES members and guests. The papers being discussed are "Development of a Survey Instrument to Measure Educators’ Preparedness for Creating Extended Reality Learning Modules” (presented by Jiwon Kim), “Sex and Age Differences in Virtual Reality (VR) Sickness Susceptibility in Forklift Driving Simulation” (presented by Shafiqul Islam), and “Utilizing Motion Capture to Quantify Physical Workload in Augmented Reality Learning Environments” (presented by Jung Kim). We hope to feature more current research in upcoming webinars.
Jung Hyup Kim
Jung Hyup Kim is an associate professor in the Department of Industrial and Systems Engineering at the University of Missouri. His current research interests include eye-tracking, real-time workflow analysis and human performance modeling in ergonomics, AR/VR/MR, and health care.
Jiwon Kim
Jiwon Kim is a Ph.D. student in Industrial Engineering at Iowa State University, Ames, IA. He is the Harold and Shirley Reihman Graduate Scholar in the Industrial and Manufacturing Systems Engineering Department at Iowa State University.
Md Shafiqul Islam
Md Shafiqul Islam is pursuing a PhD in Industrial and Systems Engineering under the supervision of Dr. Sol Lim, with a focus on developing and evaluating systems using qualitative and quantitative approaches. As a graduate research assistant at the Occupational Ergonomics and Biomechanics Laboratories of Virginia Tech, he conducts research in the field of Human Factors Engineering, applying statistical and simulation tools to optimize the design and performance of human-machine systems.