Research Review with Carol Menassa, Vineet Kamat, Da Li, Julian Brinkley, Min Deng, and Yijin Zhao

Research Review with Carol Menassa, Vineet Kamat, Da Li, Julian Brinkley, Min Deng, and Yijin Zhao

Decorative Image for the CCAT Research Review with Carol Menassa, Vineet Kamat, Da Li, and Julian Brinkley. It features the presentation title 'Can Physiological Sensing Indicate Driver Takeover Abilities in Lvl 3 Automation?' and a test subject using a driving simulator. The link directs to the registration page on the Eventbrite website.

Speaker(s): Carol Menassa, Ph.D., Associate Professor & John L. Tishman CM Faculty Scholar of Civil and Environmental Engineering – University of Michigan
Vineet Kamat, Ph.D., Professor & John L. Tishman CM Faculty Scholar of Civil and Environmental Engineering – University of Michigan, Professor of Electrical Engineering and Computer Science – University of Michigan
Da Li, Ph.D., Assistant Professor of Civil Engineering – Clemson University
Julian Brinkley, Ph.D., Assistant Professor of Human-Centered Computing – Clemson University, Director – Design and Research of In-Vehicle Experiences Lab (DRIVE Lab)
Min Deng, Ph.D. Candidate in Civil and Environmental Engineering – University of Michigan
Yijin Zhao, Ph.D. Student in Civil Engineering – Clemson university

Presentation Title: Can Physiological Sensing Indicate Driver Takeover Abilities in Conditional Level 3 Automation?

Research: Predicting Driver Takeover Performance in Conditional Automation (Level 3) through Physiological Sensing

Date/Time: Wednesday, March 9th | 2:00 PM ET

Professional Development Hours (PDH): 1

Abstract: The emerging level 3 autonomous vehicle (L3AV) can perform all aspects of the driving task and allow for complete disengagement of drivers (e.g., sit back and relax) under certain driving scenarios including immediate response (e.g., emergency braking). However, this still requires the driver to be prepared for takeover within a few seconds of warning. Being able to measure and predict the takeover performance (TOP) ahead of time and issue adequate warnings is critical to ensure driver comfort, trust, and safety in the system and acceptance of the technology.

A necessary undertaking in this process is to develop a robust approach to understand the drivers’ capabilities to take over the vehicle safely and promptly in L3 AV under different driving and disengagement scenarios. In this project, we propose an integrated treatment of the drivers’ TOP measured through multimodal physiological features and driving environment data in L3 AVs. We will present the results of data collected from 20 drivers. The drivers were presented with different secondary tasks and driving scenarios in a simulator and their physiological responses were collected using different sensing devices such as electroencephalogram (EEG), galvanic skin response (GSR), and heart rate (HR). The presentation will highlight the relationship between the driver’s physiological state such as level of engagement with the secondary task and their TOP.

Speaker Bios:
Carol Menassa, Ph.D.: Dr. Menassa directs the Intelligent and Sustainable Civil Infrastructure Systems Laboratory at U-M. Her research focuses on understanding and modeling the interconnections between humans and the built environment. She is using building automation systems and other sensing devices to understand and model the impact of occupant energy use characteristics on energy consumption in buildings and develop cost-effective solutions to achieve energy efficiency and conservation by engaging the occupants and other building stakeholders in the decision-making process. Carol currently serves as Chair for the ASCE (American Society of Civil Engineers) Construction Research Congress Executive Committee. Carol is an Associate Editor for the ASCE Journal of Computing in Civil Engineering and Assistant Specialty Editor for the ASCE Journal of Construction Engineering and Management. Carol is the recipient of the 2017 ASCE Daniel Halpin Award, 2017 ASCE Alfred Noble Prize, 2017 Outstanding Early Career Researcher from Fiatech, 2015 CII Distinguished Professor Award, and 2014 NSF Career award. She also received several best paper awards.

Vineet Kamat, Ph.D.: Dr. Kamat’s research is primarily focused on Virtual and Augmented Reality Visualization, Simulation, Mobile Computing, Robotics, and their applications in Construction and Civil Engineering. Dr. Kamat was awarded the 2020 Peurifoy Construction Research Award, the 2015 Walter L. Huber Civil Engineering Research Prize, and the 2012 Daniel W. Halpin Award for scholarship in construction by the American Society of Civil Engineers. Dr. Kamat is an Associate Editor of the ASCE Journal of Computing in Civil Engineering and a member of the editorial board for the journal Automation in Construction and the journal Advanced Engineering Informatics. He has served as the Chair of the ASCE Construction Institute’s Construction Research Council and as a Member of the Board of Governors of the ASCE Construction Institute. He has also served as the Chair of the ASCE Visualization, Information Modeling, and Simulation committee. Dr. Kamat’s research has been published in over 200 peer-reviewed journal publications and conference papers to date. He has presented his work in invited talks throughout the world and has organized several technical sessions on construction visualization at all major conferences in his field of research. He received a Ph.D. in Civil Engineering in 2003 from Virginia Polytechnic Institute and State University.

Da Li, Ph.D.: Da Li’s research focuses on understanding the impacts of building systems and environments on human satisfaction, health, and well-being, as well as occupancy-focused operation approaches to make buildings more adaptive and responsive to people’s needs. Research projects outside of CCAT include: environmental preference-based building operations to enhance occupant experience and building sustainability, non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography, understanding energy-saving behaviors in the American workplace: A unified theory of motivation, opportunity, and ability.

Julian Brinkley, Ph.D.: Dr. Brinkley’s research is focused on the intersection between user experience, highly and fully automated vehicles, and accessibility; work that is currently supported by grants from the National Science Foundation, National Highway Traffic Safety Administration, and the US Department of Transportation (DOT). Dr. Brinkley’s DRIVE Lab team was recently selected as 2021 semifinalists for the DOT’s Inclusive Design Challenge, a $5 million dollar grand challenge to design and develop accessible autonomous vehicles. Beyond automotive research, he also explores how technology broadly may be leveraged for the social good, public safety, and entertainment. Dr. Brinkley completed a Ph.D. in Human-Centered Computing at the University of Florida, holds an M.S. from East Carolina University in Software Engineering, and a B.A. from the University of North Carolina – Greensboro.

Min Deng: Min Deng is a Ph.D. candidate in Civil and Environmental Engineering at the University of Michigan. He received both his bachelor’s degree from the University of Nottingham, M.Sc. and M.Phil. degrees from Hong Kong University of Science and Technology. He also worked at New World Development Company Limited as a BIM Engineer for half a year. He is serving as a CEE graduate student mentor. He is also part of the team working on the professional certificate program in Diversity, Equity, and Inclusion (DEI). He has several published peer-reviewed journal and conference papers.

Yijin Zhao: Yijin Zhao is a first-year Ph.D. student in the Glenn Department of Civil Engineering at Clemson University. Her research focuses on applying sensing and machine learning techniques for assessing indoor environmental quality (IEQ) and modeling its impacts on occupant experience.