Skip to main content

Expecting a productivity increase from your self-driving car? Think again

volvo-self-driving-person
Image used with permission by copyright holder

Don’t expect dramatic productivity boosts from self-driving cars. While these vehicles may increase safety and mobility, occupant productivity gains aren’t likely anytime soon. Driver perception, motion sickness, and safety issues must be addressed first, say University of Michigan researchers.

According to a study just released by the University of Michigan’s Sustainable Worldwide Transportation group, car rides in the U.S. are too brief for significant productive engagement. The authors of the study, Michael Sivak and Brandon Schoettle, analyzed data of trip patterns. They found that for privately-owned light duty vehicles, which includes cars, vans, SUVs, and pickup trucks, overall trip length averaged just 9.5 miles and 18.6 minutes. That’s too short for most people to settle down and get much work done.

Recommended Videos

Beyond the theoretical free time gained while vehicles drive themselves, other factors among people worldwide rule out much occupant productivity.  Schoettle and Sivak posed the following question to 3,255 people in the U.S., Australia, China, India, Japan, and the U.K., “If you were to ride in a completely self-driving vehicle, what do you think you would use the extra time doing instead of driving?”

Most relevant to the purpose of the question were people who said, “I would not ride in a self-driving vehicle” or “Watch the road even though I would not be driving.” Those two responses were selected by 58.5 percent of the Americans surveyed. If they wouldn’t ride in a self-driving car in the first place or stop watching the road, there’s no way they could focus on work. Only 4.8 percent of U.S. respondents said they’d use the time to do work.

Of the 41.5 percent of Americans who would ride in self-driving vehicles and not watch the road, 8 percent said they would frequently experience some form of motion sickness. So don’t expect those folks to focus on a spreadsheet in a moving vehicle.

Two other concerns arose from the Michigan study. The survey participants indicated they did not believe current occupant protection systems work for the nontraditional postures and positions people would assume if they were working in the car. There’s also a concern that untethered objects such as mobile devices could become dangerous projectiles in the event of a crash.

As passenger comfort and confidence in self-driving cars increase over time, productivity gains may be possible if the safety and motion sickness issues are addressed. But that change won’t occur quickly. Plus, it appears if we really want to be productive in cars, we need, on average, longer commutes. All in favor?

Bruce Brown
Bruce Brown Contributing Editor   As a Contributing Editor to the Auto teams at Digital Trends and TheManual.com, Bruce…
Uber gives up on developing its own self-driving car
Uber self-driving car

Uber has announced it's selling its self-driving car unit, although it isn’t entirely cutting its interest in autonomous vehicles.

The company will sell its autonomous-vehicle unit -- Advanced Technologies Group (ATG) -- to Aurora, a Silicon Valley-based company founded in 2017 by former contributors to self-driving-car projects operated by Google (now Waymo) and Uber.

Read more
This self-driving racing car could have done with a driver
watch this self driving racing car slam straight into a wall roborace accident

No one ever said building an autonomous car would be easy.

While a number of companies have certainly made incredible progress with the technology over the last decade or so, some are clearly faring better than others.

Read more
New self-driving car algorithm keeps you safe by constantly predicting doom
waymo self driving car testing

Call it fatalistic, pessimistic, or just really, really, smart, but a new self-driving car algorithm developed by researchers at Germany’s Technical University of Munich (TUM) thrives on thinking about the worst thing that could happen at every moment. And then figuring out how to get out of it without endangering or obstructing traffic.

“Current autonomous driving systems usually incorporate most-likely evolutions of a traffic scenario, [such as] the preceding vehicle will most likely accelerate,” Christian Pek, a researcher in the university's researcher in the Cyber-Physical Systems Group, told Digital Trends. “However, this design might result in unsafe behaviors if traffic participants behave differently than expected -- for example, [if instead] the preceding vehicle decelerates. Our algorithm addresses this problem by computing all possible future evolutions of the scenario by considering all possible motions of other traffic participants that are compliant with traffic rules. As a result, we are able to ensure that decisions are safe regardless of the future legal motion of other traffic participants.”

Read more