Publications

See the most updated publication list here. Find below the links to each of the subsections:

Peer-reviewed Journal Papers Peer-reviewed Conference Papers Invited Talks Poster Presentations

 

Peer-reviewed Journal Papers

  1. Du, N., Zhou, F., Tilbury, D. M., Robert, L. P., & Yang, X. J. 2024). Behavioral and Physiological Responses to Takeovers in Different Scenarios during Conditionally Automated Driving. Transportation Research Part F: Traffic Psychology and Behaviour. 101, 320-331. [DOI].

  2. Du, N., Robert Jr, L. P., & Yang, X. J. (2023). A Cross-cultural Investigation of the Effects of Explanations on Drivers’ Trust, Preference, and Anxiety in Highly Automated Vehicles. Transportation Research Record. [DOI].

  3. Ayoub, J., Du, N., Yang, X. J., & Zhou, F. (2022). Predicting driver takeover time in conditionally automated driving. IEEE Transactions on Intelligent Transportation Systems. (The first two authors had euqal contribution). [DOI].

  4. Luo, R., Du, N., & Yang, X. J. (2022). Enhancing autonomy transparency: an option-centric rationale approach. International Journal of Human-Computer Interaction. [DOI].

  5. Wu, C., Zhang, W., You, X., & Du, N. (2021). Which accuracy levels of positioning technologies do drivers really need in connected vehicle settings for safety. Accident Analysis & Prevention, 106106. [DOI].

  6. Du, N., Zhou, F., Pulver E., Tilbury, D. M., Robert, L. P., Pradhan, A. K., & Yang, X. J. (2020). Predicting driver takeover performance in conditionally automated driving. Accident & Analysis Prevention. 148, 105748. [DOI].

  7. Du, N., Yang, X. J., & Zhou, F. (2020). Physiological responses to takeover requests in conditionally automated driving. Accident & Analysis Prevention. 148, 105804. [DOI].

  8. Du, N., Zhou, F., Pulver, E., Tilbury, D., Robert Jr, L. P., Pradhan, A. K., & Yang, X. J. (2020). Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving. Transportation Research Part C: Emerging Technologies. 112, 78-87. [DOI].

  9. Du, N., Huang, K., Yang, X. J. (2019). Not all information is equal: Effects of disclosing likelihood information on trust, compliance and reliance, and task performance in human-automation team. Human Factors. [DOI].

  10. Du, N., Haspiel, J., Zhang, Q., Tilbury, D., Pradhan, A. K., Yang, X. J., & Robert Jr, L. P. (2019). Look who’s talking now: Implications of AV’s explanations on driver’s trust, AV preference, anxiety and mental workload. Transportation Research Part C: Emerging Technologies, 104, 428-442. [DOI].

  11. Luo, S., Han, X., Du, N., & Han, S. (2017). Physical coldness enhances racial in-group bias in empathy: Electrophysiological evidence. Neuropsychologia. 116, 117-125.[DOI].

  12. Du, N., Yu, K., Ye, Y., & Chen, S. (2016). Validity study of Patient Health Questionnaire-9 items for Internet screening in depression among Chinese University students. Asian-Pacific Psychiatry. 9(3), e12266. [DOI].

  13. Sheng, F., Du, N., & Han, S. (2016). Degraded perceptual and affective processing of racial out-groups: An electrophysiological approach. Social neuroscience, 1-9. [DOI].

 

Peer-reviewed Conference Papers

  1. Ding, Y., Jia, L., & Du, N. (2024). One Size Does Not Fit All: Designing and Evaluating Criticality-Adaptive Displays in Highly Automated Vehicles. The 2024 CHI Conference on Human Factors in Computing Systems.

  2. Zhang, Y., Awad, E., Frank, M. R., Liu, P., & Du, N. (2024). Understanding Human-machine Cooperation in Game-theoretical Driving Scenarios amid Mixed Traffic. The 2024 CHI Conference on Human Factors in Computing Systems.

  3. Ling, S., Yue Wan, Xiaowei Jia, & Du, N. (2024). Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles. The 2024 ACM/IEEE International Conference on Human-Robot Interaction. [DOI].

  4. Ling, S., Zhang, Y., & Du, N. (2023). Impacts of AI-Generated Con dence and Explanations on Task Performance and Trust in Human-autonomy Teaming. In Proceedings of the 67th Annual Meeting of the Human Factors and Ergonomics Society (HFES). Washington, DC. October. [DOI].

  5. Jia, L., & Du, N. (2023). Effects of traffic conditions on driver takeover performance and situational awareness. In Proceedings of the 67th Annual Meeting of the Human Factors and Ergonomics Society (HFES). Washington, DC. October. [DOI].

  6. Ding, Y., Jia, L., & Du, N. (2023). Designing for Trust and Situational Awareness in Automated Vehicles: Effects of Information Type and Error Type. In Proceedings of the 67th Annual Meeting of the Human Factors and Ergonomics Society (HFES). Washington, DC. October. [DOI].

  7. Sharma, A., & Du, N. (2023). Exploratory Analysis of Automated Vehicle Crashes Using an NLP Pipeline. In Proceedings of the 67th Annual Meeting of the Human Factors and Ergonomics Society (HFES). Washington, DC. October. [DOI].

  8. Zhang, Y., Ling, S., Awad, E., Frank, M. R., & Du, N. (2023, April). Driving Next to Automated Vehicles: Emergent Human-machine Cooperation in Mixed Traffic. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-7). [DOI].

  9. Pesaru, V., Du, N. (2022). Investigating the Effects of Driver Factors on Crash Involvement using SHRP2 Naturalistic Driving Study Dataset. In Proceedings of the 66th Annual Meeting of the Human Factors and Ergonomics Society (HFES). Atlanta, GA. October. [DOI].

  10. Du, N., Wu, X., Misu, T., Akash, K. (2022). A Preliminary Study of Modeling Driver Situational Awareness based on SEEV and ACT-R Models. In Proceedings of the 66th Annual Meeting of the Human Factors and Ergonomics Society (HFES). Atlanta, GA. October. [DOI].

  11. Du, N., Zhou, F., Tilbury, D., Robert, L. P., & Yang, X. J. (2021). Designing Alert Systems in Takeover Transitions: The Effects of Display Information and Modality. 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ‘21). September 13–14, 2021, Virtual Event, Leeds, UK. [DOI].

  12. Du, N., Kim, J., Zhou, F., Tilbury, D., Robert, L. P., Pradhan, A., & Yang, X. J. (2020). Examining effects of scenario type and vehicle speed on takeover readiness and performance in conditionally automated driving. In Proceedings of the 64th Annual Meeting of the Human Factors and Ergonomics Society (HFES). Chicago, IL. October. [DOI].

  13. Du, N., Kim, J., Zhou, F., Pulver E., Tilbury, D., Robert, L. P., Pradhan, A., & Yang, X. J. (2020). Evaluating effects of cognitive load, takeover request lead time, and traffic density on drivers’ takeover performance in conditionally automated driving. 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ‘20). September 21–22, 2020, Virtual Event, DC, US. [DOI].

  14. Du, N., Zhou, F., Pulver E., Tilbury, D. M., Robert, L. P., Pradhan, A. K., & Yang, X. J. (2020). Predicting takeover performance in conditionally automated driving. In Proceedings of the 2020 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Honolulu, HI. April. [DOI].

  15. Du, N., Ayoub, J., Zhou, F., Pradhan, A., Robert, L. P., Tilbury, D., & Yang, X. J. (2019). Examining effects of driver’s emotion on takeover readiness and performance in highly automated driving. In Proceedings of the 63rd Annual Meeting of the Human Factors and Ergonomics Society (HFES). Seattle, WA. October. [DOI].

  16. Luo, R., Du, N., Huang, K. Y., & Yang, X. J. (2019). Enhancing transparency in human-autonomy teaming via the option-centric rationale display. In Proceedings of the 63rd Annual Meeting of the Human Factors and Ergonomics Society (HFES). Seattle, WA. October. [DOI].

  17. Du N., Zhang Q., & Yang, X. J. (2018). Evaluting effects of automation reliability and reliability information on trust, dependence and dual-task performance. In Proceedings of the 62nd Annual Meeting of the Human Factors and Ergonomics Society (HFES). Philadelphia, PA. October. [DOI].

  18. Haspiel, J., Du, N., Yang, X. J., Tilbury, D., Pradhan, A., Robert, L. P., (2018). Explanations and expectations: trust building in automated vehicles, Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 119-120), March 5–8, Chicago, IL, USA. [DOI].

  19. Du, N., Tilbury, D., Robert, L., Yang, X. J., & Pradhan, A. (2018). A cross-cultural study of trust building in autonomous vehicles. The Conference on Autonomous Vehicles in Society: Building a Research Agenda, East Lansing, MI, May 18-19. [PDF].

  20. Zhang, Q., Du, N., Yang, X. J., & Robert, L. (2018). Trust in AVs: the impact of expectations and individual differences. The Conference on Autonomous Vehicles in Society: Building a Research Agenda, East Lansing, MI, May 18-19. [PDF].

 

Invited Talks

  1. “Predicting driver takeover performance and designing alert systems in conditionally automated driving”, University of Pittsburgh, School of Computing and Information Seminar Series, Winter 2021.

  2. “Predicting driver takeover performance and designing alert systems in conditionally automated driving”, Syracuse University, School of Information Studies Seminar Series, Winter 2021.

  3. “Predicting driver takeover performance and designing alert systems in conditionally automated driving”, University of Toronto, Department of Mechanical & Industrial Engineering Seminar Series, Winter 2021.

  4. “Predicting driver takeover performance and designing alert systems in conditionally automated driving”, Massachusetts Institute of Technology, MIT Age Lab Seminar Series, Winter 2021.

  5. “Predicting driver takeover performance and designing alert systems in conditionally automated driving”, Purdue University, School of Engineering Technology Seminar Series, Winter 2021.

  6. “Predicting driver takeover performance and designing alert systems in conditionally automated driving”, Texes Tech University, Department of Industrial & Manufacturing & Systems Engineering Seminar Series, Winter 2021.

  7. “Predicting driver takeover performance and designing alert systems in conditionally automated driving”, University of Amsterdam, Informatics Institute Seminar Series, Winter 2021.

  8. “Predicting driver takeover performance and designing alert systems in conditionally automated driving”, Facebook, Facebook Reality Lab Seminar Series, Winter 2021.

  9. “Evaluating effects of cognitive load, takeover request lead time, and traffic density on drivers’ takeover performance in conditionally automated driving”. Presented at 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ‘20). September 21-22, 2020, Virtual Event, DC, US.

  10. “Predicting drivers’ takeover performance and designing an adaptive in-vehicle alert system”. Presented at AutomotiveUI ‘20 doctoral colloquium. September 20, 2020, Virtual Event, DC, US.

  11. “Examining effects of scenario type and vehicle speed on takeover readiness and performance in conditionally automated driving”. Presented at the 64th Annual Meeting of the Human Factors and Ergonomics Society (HFES). Virtual Event, Chicago, IL. October 2020.

  12. “Examining effects of driver’s emotion on takeover readiness and performance in highly automated driving”. Presented at the 63rd Annual Meeting of the Human Factors and Ergonomics Society (HFES). Seattle, WA. October 2019.

  13. “Effects of automation reliability and reliability information on trust, dependence and dual-task performance”. Presented at the 62nd Annual Meeting of the Human Factors and Ergonomics Society (HFES). Philadelphia, PA. October 2018.

 

Poster Presentations

  1. “Taking over control from highly automated vehicles in complex road environments: the role of drivers’ cognitive load”. Presented at the University of Michigan Engineering Graduate Symposium, Ann Arbor, MI, November 2019.

  2. “Enhancing autonomy transparency: an option-centric rationale approach”. Presented at 2019 Michigan AI Symposium, Ann Arbor, MI, October 2019.

  3. “Examining effects of driver’s emotion on takeover readiness and performance in highly automated driving”. Presented at the 3rd IAVSD Workshop on Dynamics of Road Vehicles: Connected and Automated Vehicles, Ann Arbor, MI, April 28-30 2019.

  4. “A cross-cultural study of trust building in autonomous vehicles”. Presented at the Conference on Autonomous Vehicles in Society: Building a Research Agenda, East Lansing, MI, May 18-19 2018.

  5. “Trust in AVs: the impact of expectations and individual differences”. Presented at the Conference on Autonomous Vehicles in Society: Building a Research Agenda, East Lansing, MI, May 18-19 2018.

  6. “Explanations and expectations: trust Building in automated vehicles”. Presented at the 2018 ACM/IEEE International Conference on Human-Robot Interaction, Chicago, IL, March 5-8 2018.

  7. “Effects of automation reliability and reliability information on trust, dependence and dual-task performance”. Presented at the University of Michigan Engineering Graduate Symposium, Ann Arbor, MI, November 2017.

  8. “Challenging the concept of race reduces neural coding of same-race versus other-race faces”. Presented at The 10th Annual Meeting of the Social and Affective Neuroscience Society, Los Angeles, CA, March 2017.

  9. “Modeling salience from saccade curvature”. Presented at Natural Sciences and Engineering Research Council (NSERC) Poster Presentation Day, Toronto, ON, August 2015.