Publications

Mobina Amrollahi, Michael C. Dorneich, Jundi Liu (2026). Measuring and Understanding Trust in Motion: Behavioral Archetypes in Human-Automated Guided Vehicle Interactions. ACM Transactions on Human-Robot Interaction 15(5): 1–26 (2026).

PDF Cite DOI Publisher

E. J. Bahng, Athena Hui Jiang, Jundi Liu, Bowen Weng, Soyoung Park (2026). Coding Robots for Empathy: Teacher Candidates Learning to Teach STEAM Integration in Communities of Practice. Education Sciences 16(9): 1464 (2026).

PDF Cite DOI Publisher

Thomas W. Lenz, E. J. Bahng, Soyoung Park, Jundi Liu, Bowen Weng (2026). A Survey of Future Teachers Suggests Cautious Openness to VR and Humanoid Robot Use. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2026.

PDF Cite DOI Publisher

Alexis Gomez-Hernandez, Mobina Amrollahi, Elham Entezarizarch, Jundi Liu, Jing Yang (2026). A Systematic Review of Human-in-the-Loop Adaptive Systems: Design, Implications, and Future Directions. IEEE Transactions on Human-Machine Systems 56(4): 836–847 (2026).

PDF Cite DOI Publisher

Stephen J. Fieffer, Stephen B. Gilbert, Michael C. Dorneich, Jonathan W. Kelly, Jundi Liu (2026). Extending Motion Complexity Reduction with Eye Gaze Data to Evaluate Cybersickness. In 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp. 646–650, 2026.

Cite DOI Publisher

Jundi Liu, Linda Ng Boyle, Ashis G. Banerjee (2026). TARS: Trust-Aware Reward Shaping for Vehicle Lane Change Automation. IEEE Transactions on Intelligent Transportation Systems 27(6): 6675–6687 (2026).

Cite DOI Publisher

Mobina Amrollahi, Rindirisia Wangira, Jundi Liu (2025). Analysis and Modeling of Worker Trust in Automated Guided Vehicles for Manufacturing Workplace. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2025.

Thomas Lenz, Rayanne Brackey, Jundi Liu (2025). The Effects of Citations and Confirmation Bias on Trust in Chatbots. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2025.

Doo Won Han, Jundi Liu, X Jessie Yang, Alicia Romo, William Horrey, Dawn Tilbury, Feng Zhou, Lionel Robert, Lisa Molnar (2024). Supporting Driver Attention Toward Potential Hazards During Takeover: A Preliminary Result. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2024.

Doo Won Han, Jundi Liu, X Jessie Yang, Alicia Romo, William Horrey, Dawn Tilbury, Feng Zhou, Lionel Robert, Lisa Molnar (2024). Toward Integrated Takeover Performance Measurement: Validation of Fréchet Distance as a Takeover Performance Metric. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2024.

Doo Won Han, Jundi Liu, Feng Zhou, Dawn Tilbury, Lionel Robert, Lisa Molnar, X Jessie Yang (2023). Measuring and Predicting Drivers' Takeover Readiness and Supporting Takeover Transitions in Automated Driving. AAA Foundation for Traffic Safety Technical Report, 2023.

Abduallah Mohamed, Jundi Liu, Linda N. Boyle, Christian Claudel (2023). FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings. arXiv preprint arXiv:2304.06121.

Jundi Liu, Linda N. Boyle (2022). Analysis of Driver Behavior in Mixed Autonomous and Non-autonomous Traffic Flows. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2022.

Jundi Liu, Linda N. Boyle, Ashis G. Banerjee (2022). An Inverse Reinforcement Learning Approach for Customizing Automated Lane Change Systems. IEEE Transactions on Vehicular Technology 71.9 (2022).

Jundi Liu (2022). Toward Trust-calibrated Customized Vehicle Automation. Ph.D. dissertation, University of Washington, 2022.

PDF Cite University Repository

Jundi Liu, Kumar Akash, Teruhisa Misu, Xingwei Wu (2021). Clustering Human Trust Dynamics for Customized Real- time Prediction. 24th ieee international intelligent transportation systems conference (ITSC), 2021.

Jundi Liu, Steven Hwang, Joel D Neidig, Scott M Hartford, Linda N. Boyle, Ashis G. Banerjee (2020). A Predictive Analytics Tool to Provide Visibility Into Completion of Work Orders in Supply Chain Systems. Journal of Computing and Information Science in Engineering 20.3 (2020).

Jundi Liu, Linda N. Boyle, Ashis G. Banerjee (2018). Predicting Interstate Motor Carrier Crash Rate Level using Classification M odels. Accident Analysis and Prevention 120 (2018): 211-218.

Jundi Liu, Steven Hwang, Walter Yund, Linda N. Boyle, Ashis G. Banerjee (2018). Predicting Purchase Orders Delivery Times using Regression Models with Dimension Reduction. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2018.

Niyousha Rahimi, Jundi Liu, Andrey Shishkarev, Ilya Buzytsky, Ashis G. Banerjee (2018). Auction Bidding Methods for Multi-Agent Consensus Optimization in Supply-Demand Networks. IEEE Robotics and Automation Letters 3.4 (2018): 4415-4422.