About Me

I am Jingan Peng (PJ), a Ph.D. student in Industrial & Systems Engineering at the University of Oklahoma. I work in the Human Factors & Simulation Lab with Dr. Ziho Kang.

I study how people think and act when they use complex systems. Most of my work uses virtual reality (VR) as the test setting. I measure brain activity with fNIRS and track where people look with eye tracking. I then build data methods to turn these signals into useful measures.

Research Interests

• Human factors and biometrics
• fNIRS and eye-tracking data analysis
• Human trust and comfort in vehicle automation

Current Work

• Learning engagement in multi-person VR. This is an NSF CAREER project. We use eye movements, hand interactions, and brain activity to measure how engaged people are when they learn together in VR.
• Cleaner fNIRS data in VR. VR headsets with eye tracking add infrared noise to fNIRS signals. I developed a filtering method that removes this noise from data that has already been collected.
• Adaptive cruise control (ACC). I simulate ACC in electric and gasoline vehicles. I then link the vehicle data to how drivers feel about safety and comfort.

News

• 2026 – Paper on cognitive engagement in VR accepted to the HFES 70th International Annual Meeting.
• 2026 – Paper on ACC in electric vehicles published in Traffic Injury Prevention.
• 2025 – Paper on fNIRS signal quality in VR presented at IEEE BioSMART.

Teaching

I am a teaching assistant in the School of Industrial and Systems Engineering. I teach lab sessions for Ergonomics and Simulation courses. For the Ergonomics labs, I worked with the instructor to plan how students use generative AI in their lab reports. See Teaching for details.