Drivers say improving vehicle safety systems takes priority over developing self-driving cars
ORLANDO, Fla. (Feb. 25, 2021) – Automakers may already hold the key to improving public acceptance of self-driving cars: fine-tuning existing vehicle technology. AAA’s annual automated vehicle survey finds that only 22% of people feel manufacturers should focus on developing self-driving vehicles.
The majority of drivers (80%) say they want current vehicle safety systems, like automatic emergency braking and lane keeping assistance, to work better and more than half—58%—said they want these systems in their next vehicle.
These findings signal that people are open to more sophisticated vehicle technology, which if they provide positive experiences for drivers, will open the road to self-driving vehicle acceptance.
“People are ready to embrace new vehicle technology, especially if it will make driving safer,” said Greg Brannon, AAA’s director of automotive engineering and industry relations. “Consumers are clear about what they want and if automakers seize the opportunity to provide a better experience now, it will pave the way for the vehicles of tomorrow.”
Nearly 96% of 2020 vehicle models came equipped with at least one advanced driver assistance system (ADAS) such as automatic emergency braking, blind spot warning or lane keeping assistance. Consumers who buy new will likely have at least one type of vehicle safety system and in many cases, this could be their first interaction with more advanced vehicle technology.
Previous AAA research has found that some systems, particularly those that provide the highest level of automation available to the public, do not always work as expected. These negative experiences could influence driver opinion of future vehicle automation. It also reinforces the need for manufacturers to continue to hone vehicle technology by expanding testing and focusing on including more real-world scenarios encountered by drivers.
Still Lukewarm about Self-Driving Technology
For 6 years, AAA’s annual automated vehicle survey has gauged consumer sentiment regarding emerging vehicle technology, focusing on self-driving vehicles. While American’s interest in owning a car with more advanced technology grows, they are still struggling to warm up to the idea of full vehicle automation. AAA’s survey found that 14% of drivers would trust riding in a vehicle that drives itself, similar to last year’s results. However, 86% either said they would be afraid to ride in a self-driving vehicle (54%) or are unsure about it (32%).
COVID-19 Has Had Little Impact
People’s hesitation toward self-driving vehicles is reflected by how little the pandemic has changed opinion. AAA asked drivers if COVID-19 would influence their decision to use a self-driving vehicle as an alternative to public transportation or ride-hailing. Only a relatively small number said they would be more likely to opt for a self-driving vehicle, but a larger number said COVID-19 would make no difference in affecting their decision.
Self-driving vehicles are still years away from being available to consumers. However, as testing on public roads expands, drivers will likely interact with various levels of new vehicle technology. The public should also find opportunities to educate themselves on when and how self-driving vehicles will be a part of daily life. A collective effort by both industry and consumers is what it will take to move the needle away from apprehension and closer toward acceptance.
“Transparent, accurate and frequent information from the industries involved in developing self-driving vehicles will ease consumer concerns,” said Brannon.
The survey was conducted January 15-17, 2021, using a probability-based panel designed to be representative of the U.S. household population overall. The panel provides sample coverage of approximately 97% of the U.S. household population. Most surveys were completed online; consumers without Internet access were surveyed over the phone.
A total of 1,010 interviews were completed among U.S. adults, 18 years of age or older. The margin of error for the study overall is 4% at the 95% confidence level. Smaller subgroups have larger error margins.