Publications
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A publication may appear in more than one area. All also includes broader foundational and related work.
Transportation & Automated Driving
Understanding driver states and behavior to support adaptive automation, safer mixed traffic, and driver education. Explore related research →
Human–AI/Autonomy/Robot Teaming
Understanding human collaboration with AI, autonomous systems, and robots to support performance, learning, and user control. Explore related research →
Smart Manufacturing
Exploring human-centered applications of AI and virtual reality in manufacturing workflows and interaction with intelligent systems. Explore related research →
Education & Workforce Development
Advancing education, training, and workforce development through AI-supported learning and simulation across levels of expertise. Explore related research →
Rehabilitation Robotics & Assistive Technologies
Designing and evaluating intuitive prosthetic interfaces and training technologies that support human movement and rehabilitation. Explore related research →
Healthcare & Biomedical AI
Applying AI and human-centered research to biomedical signal modeling, neurological assessment, and patient-provider communication. Explore related research →
No publications in this area are listed yet. Explore our ongoing research using the link above.
Peer-Reviewed Journal Articles
[1]. Chowdhury, M. H.*, and Liu, Y.† (2026). Communication Barriers in Patient-Provider Interactions in Health Care: Scoping Review. Journal of Medical Internet Research (JMIR). [Link]
[2]. Basnet, N., Grimaldi, N., Liu, Y., Deng, J., Kaber, D., Ruiz, J., and Zahabi, M. (2026). Cognitive workload assessment in procedural tasks. Human Factors: The Journal of the Human Factors and Ergonomics Society. [Link]
[3]. Yang, G., Chase, T., Liu, Y., Pyo, K., Cunningham, C., and Kaber, D. (2026). Driver behavior analysis at alternative intersection corridors through driving simulator. Accident Analysis & Prevention, 229, 108427. DOI: 10.1016/j.aap.2026.108427. [Link] [PubMed]
[4]. Liu, Y., Park, J., Delgado, D., Music, A., Berman, J., Ruiz, J., Kaber, D. B., Huang, H., and Zahabi, M. (2026). Virtual Reality as a Platform for Upper-Limb Prosthetic Control Modes Evaluation and Early-Stage Design. IEEE Transactions on Neural Systems and Rehabilitation Engineering. [Link]
[5]. Liu, Y. and Kaber, D. (2025). Models of automation proportion in human-in-the-loop systems and operator situation awareness responses. Ergonomics. DOI: 10.1080/00140139.2025.2608273. [Link]
[6]. Liu, Y., Kaber, D., Cunningham, C., Chase, T., and Pyo, K. (2024). Analysis of driver behavior at grade-separated intersections to support design. Applied Ergonomics, 118, 104287. DOI: 10.1016/j.apergo.2024.104287. [Link] [PubMed]
[7]. Liu, Y., Berman, J., Dodson, A., Park, J., Zahabi, M., Huang, H., Ruiz, J., and Kaber, D. (2024). Human-centered evaluation of EMG-based upper-limb prosthetic control modes. IEEE Transactions on Human-Machine Systems. [Link]
[8]. Zhang, W., Liu, Y., and Kaber, D. (2024). Effect of interface design on cognitive workload in unmanned aerial vehicle control. International Journal of Human-Computer Studies. DOI: 10.1016/j.ijhcs.2024.103287. [Link] [Publisher]
[9]. Lau, M., Liu, Y., and Kaber, D. (2023). Consequence severity-probability importance measure for fault tree analysis. International Journal of System Assurance Engineering and Management. DOI: 10.1007/s13198-023-02162-1. [Link]
[10]. Park, J., Berman, J., Dodson, A., Liu, Y., Armstrong, M., Huang, H., Kaber, D. B., Ruiz, J., and Zahabi, M. (2023). Assessing workload in using electromyography (EMG)-based prostheses. Ergonomics. DOI: 10.1080/00140139.2023.2221413. [Link]
Peer-Reviewed Book Chapter
[B1]. Kaber, D., Liu, Y., and Lau, M. Y. (2023). Considering severity of safety-critical system outcomes in risk analysis: an extension of fault-tree analysis. Safety in the Digital Age, J.-C. Le Coze and S. Antonsen (Eds.), SpringerBriefs in Applied Sciences and Technology, Springer, Cham. [Link]
Refereed Conference Proceedings
[C1]. Chowdhury, M. H.*, Wang, S., and Liu, Y.† (2026). Mediation analysis of workload and emotion on the performance of supervision tasks. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. [Link]
[C2]. Das, U.*, Chen, Y.*, Chowdhury, M. H.*, and Liu, Y.† (2026). A vision-based multimodal framework for quantifying novice driver behavioral responses to aggressive overtaking in continuous simulator traffic. International Conference on Applied Human Factors and Ergonomics. Accepted.
[C3]. Chen, Y.*, Chowdhury, M. H.*, and Liu, Y.† (2026). From driver intent to road-user perception: a narrative and systematic review of perceived aggressive driving. International Conference on Applied Human Factors and Ergonomics. Accepted.
[C4]. Kaber, D., and Liu, Y.† (2026). Evaluation of model of functional automation and driver situation awareness in automated vehicle control. International Conference on Applied Human Factors and Ergonomics. Accepted.
[C5]. Das, U.*, Chowdhury, M. H.*, Liu, Y.†, and Kaber, D. (2025). A systematic review of ground-truth labeling and prediction for cognitive workload adaptive systems. International Conference on Applied Human Factors and Ergonomics. [Link]
[C6]. Arnold, S., Neves, G., Maughon, C., Carty, D., and Liu, Y.† (2025). An analysis of operational processes in coffee shops aimed at improving baristas' response to highly-customized orders. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 69(1), 1794-1799. [Link]
[C7]. Grimaldi, N.*, Kaber, D., Chen, Y.*, McKendrick, R., and Liu, Y. (2025). Deep learning forecast of attention using fNIRS data. IEEE International Conference on Human-Machine Systems. [Link]
[C8]. Wen, S., Middleton, M., Ping, S., Chawla, N. N., Wu, G., Feest, B. S., Nadri, C., Liu, Y., Kaber, D., Zahabi, M., McMahan, R. P., Castelo, S., McKendrick, R., Qian, J., and Silva, C. T. (2025). AdaptiveCoPilot: design and testing of a NeuroAdaptive LLM cockpit guidance system in both novice and expert pilots. IEEE Conference on Virtual Reality and 3D User Interfaces, pp. 656-666. [Link]
[C9]. Chen, Z., Song, Y., Liu, Y., and Sebe, N. (2024). A Lie group approach to Riemannian batch normalization. International Conference on Learning Representations (ICLR). [Link]
[C10]. Liu, Y., Grimaldi, N.*, Basnet, N., Wozniak, D., Chen, E., Zahabi, M., Kaber, D., and Ruiz, J. (2024). Classifying cognitive workload using machine learning techniques and non-intrusive wearable devices. IEEE International Conference on Human-Machine Systems, pp. 1-6. [Link]
[C11]. Grimaldi, N.*, Liu, Y., McKendrick, R., Ruiz, J., and Kaber, D. (2024). Deep learning forecast of cognitive workload using fNIRS data. IEEE International Conference on Human-Machine Systems, pp. 1-6. [Link]
[C12]. Nadri, C., Liu, Y., Zahabi, M., Kaber, D., Ruiz, J., Middleton, M., and McKendrick, R. (2024). Analysis of pre-flight and monitoring tasks using cognitive performance modeling. International Conference on Applied Human Factors and Ergonomics. [Link]
[C13]. Grimaldi, N.*, Kaber, D., McKendrick, R., and Liu, Y. (2024). Deep learning forecast of perceptual load using fNIRS data. International Conference on Applied Human Factors and Ergonomics. [Link]
[C14]. Park, J., Music, A., Delgado, D., Berman, J., Dodson, A., Liu, Y., Ruiz, J., Huang, H., Kaber, D., and Zahabi, M. (2023). Cognitive workload and usability of virtual reality simulation for prosthesis training. IEEE International Conference on Systems, Man, and Cybernetics, pp. 1567-1572. [Link]
[C15]. Liu, Y., Kaber, D., Sabahi, S., Cunningham, C., and Pyo, K. (2022). Machine learning models of erroneous driver actions at novel interchange configurations. IEEE International Conference on Human-Machine Systems, pp. 1-6. [Link]
[C16]. Liu, Y., Pyo, K., Cunningham, C., Chase, T., and Kaber, D. (2022). Driver situation awareness and cognitive workload effects of novel interchange configurations and associated signage. International Conference on Applied Human Factors and Ergonomics, Vol. 60, pp. 287-296. [Link]
[C17]. Park, J., Berman, J., Dodson, A., Liu, Y., Armstrong, M., Huang, H., Kaber, D., Ruiz, J., and Zahabi, M. (2022). Cognitive workload classification of upper-limb prosthetic devices. IEEE International Conference on Human-Machine Systems, pp. 1-6. [Link]
[C18]. Liu, Y. and Kaber, D. (2021). Quantitative models for automation rate and situation awareness response: a case study of levels of driving automation. IEEE International Conference on Human-Machine Systems, pp. 1-6. [Link]
[C19]. Cauffman, S. J., Deng, Y., Liu, Y., Cunningham, C., Kaber, D., and Feng, J. (2020). Driver logo sign detection and hazard responses during partially automated driving. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 1960-1964. [Link]
Refereed Research Report (published)
[R1]. Cunningham, C. M., Chase, R. T., Pyo, K., Kaber, D., and Liu, Y. (2022). Roadway signing and marking of unconventional grade-separated intersection designs. North Carolina Department of Transportation, Report No. FHWA/NC/2019-26, Raleigh, NC. [Link]
[R2]. Cunningham, C. M., Chase, R. T., Yang, G., Wright, W., Pyo, K., Kaber, D., and Liu, Y. (2023). Design consistency on corridors. North Carolina Department of Transportation, Report No. FHWA/NC/2020-31, Raleigh, NC.