CHART Seminar - The Long Road to Autonomous Cars: Human-Machine Teaming in a Tesla Model X
The promise of fully autonomous cars seems more reasonable now than ever before. Despite what industry leaders like Elon Musk say, there remain substantial hurdles which need to be cleared in order to deliver such a vehicle. In the meantime, we are faced with a brand-new problem: highly automated vehicles being operated by people who have little to no experience with them. This talk will discuss recently published and ongoing research which has used a Tesla Model X to better understand the consequences of human-machine teaming in the real world and risky environments. Data will be presented on individual- and group-level differences, and serious concerns regarding the development will be presented. Additionally, future developments will be proposed as a means by which companies like Tesla can help mitigate the consequences associated with use, disuse, and misuse of advanced, self-driving technologies.
Dr. Nate Tenhundfeld is an Assistant Professor of Human Factors at the University of Alabama in Huntsville. He completed his Bachelors at the University of Virginia in 2012 and his PhD at Colorado State University in 2017. Following his PhD Nate was a postdoctoral researcher in the Warfighter Effectiveness Research Center at the US Air Force Academy. While at the academy he was the lead author on a submission awarded the 2018 Raja Parasuraman Award for Scientific Impact by the International Neuroergonomics Society. He joined the faculty at UAH in 2019, where he leads the Advanced Teaming, Technology, Automation, and Computing (ATTAC) Human Factors Lab. In his spare time he trains Brazilian Jiu Jitsu, which comes in handy when trying to fend of snuggle attacks from his two goldendoodles.
1:00-2:00 – Talk
2:00-2:30 – Discussion
Location: ASU Polytechnic Campus, Santa Catalina Hall, Room 151
To schedule a 30-minute individual meeting on Friday afternoon between 2:45pm and 4:15pm, please contact Veronica Handorf (firstname.lastname@example.org).
Zoom Info for Remote Participants:
Join from PC, Mac, Linux, iOS or Android: https://asu.zoom.us/j/489420848
Or Telephone: Dial (for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 876 9923; Meeting ID: 489 420 848