Warning: Automated cars and their operators fail to detect dangers

Rice University
Office of Public Affairs / News & Media Relations

David Ruth
713-348-6327
david@rice.edu

Amy McCaig
713-348-6777
amym@rice.edu

Warning: Automated cars and their operators fail to detect dangers

HOUSTON – (Feb. 26, 2019) – Automated cars are becoming more common, but they still require drivers to react to dangers that aren’t detected by an automated system. New research from Rice University and Texas Tech University has found that drivers often fail to spot hazards missed by automated vehicles, and it only gets worse the longer drivers ride in them.

A man in a Autonomous driving test vehicle. Photo credit: 123rf.comThe study, “Driver Vigilance in Automated Vehicles: Effects of Demands on Hazard Detection Performance,” will appear in an upcoming edition of Human Factors.

The researchers examined the behavior of 60 licensed drivers operating an automated car in a simulator. Participants were told that due to the automation, they would not need to operate the steering wheel, brake pedal or accelerator pedal. They were instructed to monitor the roadway for vehicles that were stopped dangerously at intersections and intruding into the driver’s lane, which constituted a hazard that automated vehicles could not detect. Participants also had to distinguish between vehicles that were safely stopped and dangerously stopped at intersections.

The drivers’ accuracy dropped between 7 and 21 percent over the 40-minute simulation. Even in the first 10 minutes the success rate was, at best, close to 88 percent, suggesting that all drivers missed at least some hazards.

So why did this happen?

Pat DeLucia, a professor of psychological sciences at Rice and the study’s co-author, said that one possibility is that people get used to cars doing the driving and become complacent. Coupled with previous research that indicated people are terrible at monitoring for hazards that only happen every once in a while, and that over time their ability to respond decreases, the new study “suggests that this phenomenon of difficulty monitoring effectively over time extends to monitoring an automated car,” DeLucia said.

“The bottom line is, until automated driving systems are completely reliable and can respond in all situations, the driver must stay alert and be prepared to take over,” said Eric Greenlee, an assistant professor of psychological sciences at Texas Tech and the study’s lead author. “And this research clearly shows that is not happening, and gets worse as time passes.”

The researchers hope this work will add to the growing body of research about the safety of automated cars.

“These vehicles have a lot to offer, but we’re a long way from being able to detect everything going on,” the researchers wrote. “Until that day comes, we hope this research will raise awareness about the limitations of automated cars and their operators.”

The study was co-authored by David Newton, a graduate student at Texas Tech.

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For more information or to request a copy of the paper, contact Amy McCaig, senior media relations specialist at Rice, at 713-348-6777 or amym@rice.edu.

This news release can be found online at https://news.rice.edu/.

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Related materials: 

Pat DeLucia bio: https://psychology.rice.edu/patricia-delucia

Photo link: https://news.rice.edu/files/2019/02/36488489_l-yd4p0u.jpg

Photo credit: 123rf.com

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About Amy McCaig

Amy is a senior media relations specialist in Rice University's Office of Public Affairs.