Austin – New Research from the University of Texas in Austin has revealed that technology that aims to make driving more safely may endanger you.
In a new paper published in Production and Operations ManagementProfessor Austin Ashish Agarawal discovered how human drivers interact with alerts in their cars aimed at preventing accidents.
The researchers focused on two types of warning systems in about 200,000 cars. Warning systems collapsed into two categories: urgent and urgent warnings.
Unconsisled systems include blind spot detection sensors that alert drivers to a car in their blind place, while urgent systems include collision sensors. These sensors are alerted a driver about to hit a car.
The researchers found when the uncomplicated warning systems were in use, and drivers had better control of speed and did not surpass the brakes often. While urgent systems led to more speed and more difficult braking.
“If you are looking for urgent warnings, this is the opposite, which is not intuitive, right?” Agarawal said. “Your quick behavior gets worse, and difficult braking behavior also increases with these warnings, and the behavior that changes it over time.”
Based on their research, the team found:
- The detection of blind spots of the daily number of solid braking counterparts reduced by 6.76 % and 9.34 % speed events, compared to cars that do not contain advanced driver auxiliary systems.
- While the front collision warning systems led to more steel braking by 5.65 % and 5.34 % of the speed.
“On average, these features help you prevent collision, but the event (over time) increases for unexpected warnings such as detection of blind spots, while the event is shrinking. The driver’s behavior becomes worse,” Agarawal said.
According to Agarwal, the way we process this information is partially blame. Urgent warnings occur suddenly and cause “interactive thinking”, while the warnings that are not provided are “an opportunity to think.” This continuous stimulus, such as saying every time you drive the car through you, leads to learning that improves behavior.
Agarwal’s research, which was conducted on behalf of a large, unveiled car maker, began in 2018. The team, which consists of researchers from the University of Hong Kong and Maryland University, looked at the vehicles that were produced between 2018 and 2019.
Agarwal works to manage information, risks and operations in UT. His studies focus on designing business technologies and how people around them behave.
“When you design business technologies, you need to integrate the understanding of the user’s behavior to better design products, or better business technologies design,” said Aguardus.