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John Lee

John Lee

Emerson Electric Quality & Productivity Professor
gscholar website

Dr. John D. Lee is the Emerson Electric Professor at the University of Wisconsin-Madison. He investigates the issues of human-automation interaction and human-AI teaming, particularly trust in automation. John has investigated trust in domains that include UAVs, maritime operations, highly automated vehicles, and deep space exploration. He helped to edit the Oxford Handbook of Cognitive Engineering and the APA Handbook of Human Systems Integration and is also a co-author of a popular textbook, Designing for People: An Introduction to Human Factors Engineering. This research has been funded by NSF, ONR, NHTSA, NASA, Nissan, Toyota, and GM.

Department

Industrial & Systems Engineering

Contact

3007, Mechanical Engineering Bldg
1513 University Ave
Madison, WI
p: (608) 890-3168

  • PhD 1992, University of Illinois, Urbana-Champaign
  • MS 1989, University of Illinois, Urbana-Champaign
  • BS 1988, Lehigh University
  • BA 1987, Lehigh University
  • Year Abroad Program 1985, University of York

  • Cognitive engineering
  • Interface design
  • Trust in automation
  • Human adaptation to technology
  • Modeling human behavior

Affiliated Departments

  • 2022 College of Engineering, University of Wisconsin-Madison, Byron Bird Award for Excellence in a Research Publication
  • 2019 College of Engineering, University of Wisconsin-Madison, College of Engineering Equity and Diversity Award
  • 2018 University Housing, University of Wisconsin-Madison, Honored Instructors Award
  • 2017 College of Engineering, University of Wisconsin-Madison, Leaders in Engineering Excellence and Diversity, Faculty Recognition Award
  • 2017 NAS, Profiled by NAS in Research to Reward video series
  • 2015 College of Engineering, University of Wisconsin-Madison, Leaders in Engineering Excellence and Diversity, Faculty Recognition Award
  • 2014 Human Factors and Ergonomics Society, Paul M. Fitts Education Award
  • 2011 Human Factors and Ergonomics Society, Fellow
  • 2009 Emerson Electric, Emerson Electric Professorship in Total Quality
  • 2007 Institute of Industrial Engineers, Outstanding Educator Award
  • 2005 Liberty Mutual Ergonomics Journal, Best Paper Award
  • 2003 College of Engineering, University of Iowa, Donald E. Bently Faculty Fellow of Engineering
  • 2003 Jerome H. Ely Human Factors journal, Best Paper Award
  • 2003 College of Engineering, University of Iowa, Collegiate Teaching Award
  • 2002 Institute of Industrial Engineers, Outstanding Educator Award
  • 1997 Battelle award in recognition of research excellence
  • 1995 Battelle award in recognition of research excellence
  • 1991 Human Factors Society System Development Technical Group, Student Paper Award
  • 1991 Alwin Schaller Endowment, Travel Grant
  • 1989 Alwin Schaller Endowment, Travel Grant
  • 1988 Andrew W. Kneght award for the practical application of engineering theory
  • 1988 University of Illinois, Urbana-Champaign, Elizabeth Major Nevius award for outstanding undergraduate or 1st year graduate student
  • 1988 Pi Tau Sigma Mechanical Engineering Honor Society, Pi Tau Sigma Member
  • 1988 Tau Beta Pi Engineering Honor Society, Tau Beta Pi Engineering Member

  • Kim, J. Y., Marshall, V. D., Rowell, B., Chen, Q., Zheng, Y., Lee, J., Kontar, R. A., Lester, C., & Yang, X. J. (2025). The Effects of Presenting AI Uncertainty Information on Pharmacists' Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study. JMIR Human Factors, 12, e60273 https://doi.org/10.2196/60273
  • Li, M., Erickson, I. M., Cross, E. V., & Lee, J. (2024). It's Not Only What You Say, but Also How You Say It: A Machine Learning Approach to Estimate Trust from Conversation. Human Factors: The Journal of the Human Factors and Ergonomics Society, 66(6), 1724--1741 https://doi.org/10.1177/00187208231166624
  • Chiou, E. K., & Lee, J. (2023). Trusting Automation: Designing for Responsivity and Resilience. Human Factors: The Journal of the Human Factors and Ergonomics Society, 65(1), 137--165 https://doi.org/10.1177/00187208211009995
  • Lee, J. D., Wickens, C. D., Liu, Y., & Boyle, L. N. (2017). Designing for People: An Introduction to Human Factors Engineering. Designing for People: An Introduction to Human Factors Engineering. CreateSpace. ISBN/ISSN: 978-1-5398-0800-8
  • Lee, J. D., & Kirlik, A. (2013). The Oxford Handbook of Cognitive Engineering. The Oxford Handbook of Cognitive Engineering. Oxford University Press.
  • Lee, J. D. (2009). Can Technology Get Your Eyes Back on the Road?. Science, 234(April), 344--346.
  • Regan, M. A., Lee, J. D., & Young, K. L. (2008). Driver Distraction: Theory, Effects and Mitigation. Driver Distraction: Theory, Effects and Mitigation. CRC Press.
  • Lee, J. D., & See, K. A. (2004). Trust in Automation: Designing for Appropriate Reliance. Human Factors, 46(1), 50--80. ISBN/ISSN: 0018-7208

  • I SY E 562 - Human Factors of Data Science and Machine Learning (Spring 2025)
  • I SY E 602 - Special Topics in Human Factors (Spring 2025)
  • I SY E 890 - Pre-Dissertator's Research (Spring 2025)
  • I SY E 990 - Research and Thesis (Spring 2025)
  • I SY E 890 - Pre-Dissertator's Research (Fall 2024)
  • I SY E 990 - Research and Thesis (Fall 2024)
  • I SY E 890 - Pre-Dissertator's Research (Summer 2024)
  • I SY E 790 - Master's Research and Thesis (Spring 2024)
  • I SY E 890 - Pre-Dissertator's Research (Spring 2024)
  • I SY E 990 - Research and Thesis (Spring 2024)
  • I SY E 890 - Pre-Dissertator's Research (Fall 2023)
  • I SY E 990 - Research and Thesis (Fall 2023)
  • I SY E 890 - Pre-Dissertator's Research (Summer 2023)
  • I SY E 990 - Research and Thesis (Summer 2023)