Nade Liang
Psychology · Purdue University West Lafayette
Publications
25
Citations
469
Est. group size
~3
Recurring co-author estimate
Active years
8
Publishing since 2019
Nade Liang studies how humans interact with automated and autonomous vehicles, focusing on driver attention, situation awareness, and takeover performance using eye-tracking, EEG, and machine learning. Related work extends to ergonomic design of wearable devices (like VR headsets) and applying vision-language AI models to interpret driver behavior. This research combines human factors/psychology methods with sensing technology and AI to improve safety in automated systems.
Publication output has been relatively steady at 2-3 papers per year for most of the past decade, with a notable increase to 4-5 papers in 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Design, fabrication, and testing of an ergonomic brace for virtual reality headset using 3D printing
Ergonomics · 2026
- ICR-Drive: Instruction Counterfactual Robustness for End-to-End Language-Driven Autonomous Driving
arXiv (Cornell University) · 2026
- ICR-Drive: Instruction Counterfactual Robustness for End-to-End Language-Driven Autonomous Driving
arXiv (Cornell University) · 2026
- Biomechanical Effects of 3D-Printed and Spring-Based Virtual Reality Headset Support and Task Demands on the Neck
IISE Transactions on Occupational Ergonomics and Human Factors · 2026
- Multimodal prediction of situation awareness during automated driving: a gaze and EEG-based approach
Ergonomics · 2025
- Does my past influence my future? Investigating whether older adults’ prior knowledge of one videoconferencing platform transfers to new platforms
Universal Access in the Information Society · 2025
- Interpretable Modeling of Driver Attention Shifts with a Vision-Language Model
ArXiv.org · 2025
- Asymmetric Shifts in Risk Perception: Evaluating Driver Responses to Traffic Density Transitions
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
- FSDAM: Few-Shot Driving Attention Modeling via Vision-Language Coupling
arXiv (Cornell University) · 2025
- Machine Learning for Prediction of Driver Takeover Time in Automated Driving: Insights from Non-urgent Low Consequence Scenarios
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2024
- Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving
IEEE Transactions on Human-Machine Systems · 2023
- An Eye-Fixation Related Electroencephalography Technique for Predicting Situation Awareness: Implications for Driver State Monitoring Systems
Human Factors The Journal of the Human Factors and Ergonomics Society · 2023
- Predicting Automated Vehicle Takeover Decision During the Nighttime
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2023
- Assessment of Situation Awareness in Automated Driving Using Eye-fixation Related EEG Analysis
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2022
- The Effects of Non-Driving-Related Task Engagement on Automated Driving Takeover Performance During the Nighttime
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2022
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting×10
- arXiv (Cornell University)×3
- Human Factors The Journal of the Human Factors and Ergonomics Society×2
- Ergonomics×2
- Accident Analysis & Prevention×1
- Brandon J. Pitts
Psychology · Purdue University West Lafayette
- Gaojian Huang
Psychology · Purdue University West Lafayette
- Mark R. Lehto
Psychology · Purdue University West Lafayette
- Joonbum Lee
Psychology · The Ohio State University
- Shubham Agrawal
Psychology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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