Industrial and Systems Engineering Graduate Seminar

Thursday, November 14, 2019, 3:30pm to 4:20pm
Adler Journalism and Mass Communication Building, E205
104 West Washington Street, Iowa City, IA 52240


Trust has become a ubiquitous concern across many domains where technology has become smarter and more capable. Examples include algorithms that manage news feeds in social networks, aids that guide healthcare decision making, and automation that plays an increasing role in controlling cars. In each of these domains, trust plays an important role in micro and macro interactions—decisions to rely and societal acceptance. This presentation considers conceptual issues surrounding micro and macro trust in highly automated vehicles. To address these issues I discuss two novel statistical techniques: structural topic models to analyze qualitative data quantitatively and multi-level discrete-continuous models to analyze how people respond to automation infelicities. The conceptual issues and statistical techniques demonstrated in the domain of highly automated vehicles likely apply to other domains, such as how to craft a trusted (and trustworthy) version of HAL.


Dr. John D. Lee is the Emerson Electric Professor at the University of Wisconsin-Madison. He investigates the issues of human-automation interaction, particularly trust in automation. John has investigated these issues of trust in domains that include UAVs, maritime operations, highly automated vehicles, and process control. He has also helped to edit the Handbook of Cognitive Engineering and is also a co-author of a popular textbook: Designing for People: An introduction to human factors engineering.

Individuals with disabilities are encouraged to attend all University of Iowa–sponsored events. If you are a person with a disability who requires a reasonable accommodation in order to participate in this program, please contact Katie Schnedler in advance at 467-0346 or