Mengyao Li

Assistant Professor

Education

2023 Ph.D. in Industrial and System Engineering (Human Factors) at University of Wisconsin–Madison

2020 M.S. in Industrial and System Engineering (Human Factors) at University of Wisconsin–Madison

2019 B.A. in Psychology & Mathematics at Agnes Scott College

About

To better facilitate human-autonomy teaming (HAT) in the future hybrid society, my research entwines communication, cooperation, and coevolution between humans and artificial intelligence (AI). Specifically, I model trust in human-AI real-time communications, social interactions, and long-term dynamics in safety-critical domains. My research findings further the understanding of trust in HAT and provide broader design implications for conversational robots, safety policy for autonomous vehicles, and theoretical frameworks for safe-critical sociotechnical systems.

For more information, please refer to my personal website.

Selected Publications

1. Li, M., Erickson, I., Cross, V., & Lee, J. D. (2023). It’s Not Only What You Say, But Also How You Say It: Machine Learning Approach to Estimate Trust in Conversation. Human Factors.
2. Li, M., Kamaraj, A.V., & Lee, J.D. (2023). Modeling Trust Dimensions and Dynamics in Human-Agent Conversation: A Trajectory Epistemic Network Analysis Approach. International Journal of Human-Computer Interaction, 1-12.
3. Alsaid, A., Li, M., Chiou, E., & Lee, J.D. (2023). Measuring Trust: A Text Analysis Approach to Compare, Contrast, and Select Trust Questionnaires. Frontier in Psychology.
4. Li, M., Mehrotra, S., Akash, K., Misu, T., Lee, J. D. (2023). You Cooperate, I Reciprocate: Well-Being and Trust in Automated Vehicles. IEEE International Conference on Intelligent Transportation Systems (ITSC 2023). (September 24-28, 2023).
5. Li, M., Noejovich S. I., Cross, E.V., Lee, J. D. (2023). Explain Trust Divergence: Bifurcation as A Dynamic System. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. (October 23-27, 2023).
6. Li, M., Erickson, I., Cross, V., & Lee, J. D. (2022, October). Estimating Trust in Conversational Agent with Lexical and Acoustic Features. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. (October 9-13, 2022)
7. Li, M. & Lee, J.D. (2022, October). Modeling Goal Alignment In Human-AI Teaming: A Dynamic Game Theory Model. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. (October 9-13, 2022).
8. Li, M., Alsaid A. Noejovich S. I., Cross V., Lee J.D. (2020, November). Towards a Conversational Measure of Trust. Proceedings of AAAI Fall Symposium Series 2020: Trust & Explainability in Artificial Intelligence for Human-Robot Interaction. (November 13-14, 2020).
9. Li, M. Katrahmani, A., Kamaraj, A.V., & Lee J.D. (2020, October). Defining Design Space of the Auto-Mobile Office: A Computational Abstraction Hierarchy Analysis. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. (October 5-9, 2020).
10. Li, M., Holthausen, E., Stuck, E., & Walker, N. (2019, September). No Risk No Trust: Investigating Perceived Risk in Highly Automated Driving. Proceedings of the Eleventh International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’ 2019), Utrecht, Netherlands (September 22-25, 2019).