Washington, DC (Sept. 17, 2024) – Drivers are more likely to multitask when using partial automation, and some manage to do so even while playing by the rules of the systems’ attention requirements, new research from the Insurance Institute for Highway Safety shows.
“These results are a good reminder of the way people learn,” said IIHS President David Harkey. “If you train them to think that paying attention means nudging the steering wheel every few seconds, then that’s exactly what they’ll do.”
Drivers were much more likely to check their phones, eat a sandwich or do other visual-manual activities while using Volvo’s Pilot Assist partial automation system than when driving unassisted, a monthlong study of driver behavior that IIHS conducted with the Massachusetts Institute of Technology’s AgeLab showed. The tendency to multitask also increased over time for some drivers as they grew more comfortable with the technology, while others were more distracted while using the system from the start.
Meanwhile, many drivers using Tesla’s Autopilot system quickly mastered the timing interval of its attention reminder feature so that they could prevent warnings from escalating to more serious interventions, another IIHS-AgeLab study found. Some people used this skill to continue engaging in distracting behaviors, punctuated by quick moves to stop the alerts.
“In both these studies, drivers adapted their behavior to engage in distracting activities,” Harkey said. “This demonstrates why partial automation systems need more robust safeguards to prevent misuse.”
Using cameras and other sensors, partial automation systems can keep your car moving down the road in the center of the lane at the speed you select, slowing down to avoid other vehicles and then accelerating again when the way is clear. However, drivers are supposed to pay close attention to what’s happening on the road and be ready to take over at any time. As the new studies show, not all drivers do.
In the first study, researchers analyzed how the driving behavior of 29 volunteers supplied with a 2017 Volvo S90 sedan equipped with Pilot Assist evolved over a four-week period. Specifically, they examined how likely drivers were to engage in nondriving activities when using the automation on highways relative to driving unassisted and then evaluated how this relationship changed over time.
The study, led by IIHS Senior Research Scientist Ian Reagan, used data collected over three years, during which the vehicles driven by the volunteers received two software updates that improved the lane-centering feature and attention reminders. For this reason, the researchers separated the drivers into three groups. One group did all their driving before either update, a second drove the vehicles after the changes to the lane-centering feature, and a third did their driving after both the lane-centering feature and the attention reminder updates. All versions required the driver to keep their hands on the steering wheel.
The research team also changed the recruitment strategy after the second group to only enroll those who did a lot of driving on highways, where partial automation works best.
Regardless of the version of the system used, all three groups of drivers engaged in distracting visual-manual activities, including eating, grooming and using electronics, more often when using Pilot Assist than while driving without it. This was true whether they used the feature a lot or hardly at all.
The first two groups were more likely to be distracted while driving with Pilot Assist during the second half of the month they had the vehicle than the first. Like the results of an earlier, related study, this suggests that they became bolder or more complacent as they got used to the system. The third group was about equally likely to perform secondary tasks while using partial automation over the second two weeks as they were during the first two weeks. Throughout the month, the percentage of time that they were distracted while using it was exceedingly high — more than 30%.
“We saw some differences in how the three groups used Pilot Assist, but we couldn’t say for sure they were related to the software changes,” Reagan said. “The takeaway for me was that the technology was linked to more distraction for all three.”
In the second study, a different group of IIHS and AgeLab researchers examined how the driving behavior of 14 people who had never used Tesla’s Autopilot or any other partial automation system changed over a month of driving a 2020 Tesla Model 3. Unlike the Volvo study, this one focused on how often the drivers triggered the system’s initial attention reminders, escalated warnings and emergency slowdown and lockout procedures.
At the time, Autopilot relied exclusively on a torque sensor in the steering wheel to monitor whether the driver was paying attention. If the system failed to detect the driver’s hands on the wheel for a short time, it would issue an initial attention reminder — a gray hands-on-wheel icon that appeared on the central display, along with a flashing blue light and a written message instructing the driver to apply a slight turning force to the steering wheel.
The driver could indicate they were still engaged by making a slight steering adjustment, tapping the turn-signal stalk or toggling a dial on the steering wheel. If the system didn’t detect one of those responses soon enough, it would begin a series of escalating visual and audible alarms and alerts. As a last resort, Autopilot would slow the vehicle to a stop, deactivate and deny the driver access to the feature for the rest of the trip.
In total, the volunteers drove a little more than 12,000 miles with Autopilot engaged. During that time, they triggered 3,858 attention-related warnings from the partial automation system. About half of those alerts occurred when they had at least one hand on the steering wheel but were apparently not moving it enough to satisfy the torque sensor.
Most warnings didn’t proceed beyond the initial attention reminder, and, on average, the drivers responded to the alert within about three seconds (usually by nudging the steering wheel). In 72 instances, however, the driver didn’t respond fast enough to prevent the alerts from escalating. Remarkably, 16 of these escalations — 12 of them from one driver and four from three others — persisted through the entire sequence to result in the driver being locked out of the system.
From the first to the fourth week, the rate of initial attention reminders per 1,000 miles traveled with Autopilot increased by 26%, while the rate of escalations fell by 64%. The average length of the initial attention reminders fell by about half a second after the first week.
The percentage of time that drivers were disengaged in the period surrounding the alerts also increased, even though the duration of each alert was shorter. The researchers found that the drivers did nondriving secondary activities, looked away from the road, and had both hands off the wheel more often during the alerts and in the 10 seconds before and after them as they learned how the attention reminders worked. The longer they used the system, the less time it took them to take their hands off the wheel again once the alerts stopped.
The safety impact of that change is hard to measure. Other research shows that the longer a driver’s attention wanders, the greater the odds they will be involved in a crash. However, it’s also logical that at some point even short lapses of attention become so frequent that the periods of supposed engagement between them have little value.
“These results show that escalating, multimodal attention reminders are very effective in getting drivers to change their behavior,” said IIHS Senior Research Scientist Alexandra Mueller, the study’s lead author. “However, better safeguards are needed to ensure that the behavior change actually translates to more attentive driving.”
About the Insurance Institute for Highway Safety
The Insurance Institute for Highway Safety (IIHS) is an independent, nonprofit scientific and educational organization dedicated to reducing deaths, injuries and property damage from motor vehicle crashes through research and evaluation and through education of consumers, policymakers and safety professionals. Learn more at www.iihs.org.
The Highway Loss Data Institute (HLDI) shares and supports this mission through scientific studies of insurance data representing the human and economic losses resulting from the ownership and operation of different types of vehicles and by publishing insurance loss results by vehicle make and model.
Both organizations are wholly supported by these auto insurers and insurance associations.
SOURCE: Insurance Institute for Highway Safety (IIHS)
Tags: advanced driver assistance systems (ADAS), automation, Insurance Institute for Highway Safety (IIHS)