Time: Friday, June 2, 2023, 13:30

Location: Lecture Hall 537, Building 3, Hainayuan, Zijingang Campus, Zhejiang University

Modeling Human Behaviors and Designing Adaptive Systems in Human-Automation Interaction

Speaker: Assistant Professor Na Du

School of Computing and Information, University of Pittsburgh

Na Du is an Assistant Professor in the Department of Informatics and Networked Systems, School of Computing and Information, University of Pittsburgh. Her research interests include human factors in smart cities, computational modeling of human behaviors, and human-centered design. She received Ph.D. in Industrial & Operations Engineering from University of Michigan, bachelor of science in department of psychology and behavioral sciences from Zhejiang University, China and a Graduate Certificate in Data Science at Michigan Institute for Data Science. She is a recipient of several prestigious awards, including HFE Women Rising Star Award, Towner Prize for Distinguished Academic Achievement, and HFES HPM TG Best Paper Award.

Abstract

Autonomous technologies have the potential to improve human performance and reduce workload in a number of safety-critical environments, such as driving, medicine, and military. This talk will discuss several projects that address the gaps between increasingly complex autonomous technologies and restricted human capabilities in information processing. The projects apply human factors, cognitive psychology, and data analytics techniques to improve human performance, safety, and well-being in human-automation interaction. First, I will introduce how we use wearable technologies to investigate human behaviors and performance in automated vehicles. Second, I will present the computational models and alert systems we develop to help human interact with automated vehicles safely. Third, I will showcase a series of design ideas we propose and evaluate to facilitate human trust and situational awareness in human-automation interaction.