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Stanford studies human impact when self-driving car returns control to driver
Researchers involved with the Stanford University Dynamic Design Lab have completed a study that examines how human drivers respond when an autonomous driving system returns control of a car to them. The Lab’s mission, according to its website, is to “study the design and control of motion, especially as it relates to cars and vehicle safety. Our research blends analytical approaches to vehicle dynamics and control together with experiments in a variety of test vehicles and a healthy appreciation for the talents and demands of human drivers.” The results of the study were published on December 6 in the first edition of the journal Science Robotics.
Holly Russell, lead author of study and former graduate student at the Dynamic Design Lab says, “Many people have been doing research on paying attention and situation awareness. That’s very important. But, in addition, there is this physical change and we need to acknowledge that people’s performance might not be at its peak if they haven’t actively been participating in the driving.”
The report emphasizes that the DDL’s autonomous driving program is its own proprietary system and is not intended to mimic any particular autonomous driving system currently available from any automobile manufacturer, such as Tesla’s Autopilot.
The study found that the period of time known as “the handoff” — when the computer returns control of a car to a human driver — can be an especially risky period, especially if the speed of the vehicle has changed since the last time the person had direct control of the car. The amount of steering input required to accurately control a vehicle varies according to speed. Greater input is needed at slower speeds while less movement of the wheel is required at higher speeds.
People learn over time how to steer accurately at all speeds based on experience. But when some time elapses during which the driver is not directly involved in steering the car, the researchers found that drivers require a brief period of adjustment before they can accurately steer the car again. The greater the speed change while the computer is in control, the more erratic the human drivers were in their steering inputs upon resuming control.
“Even knowing about the change, being able to make a plan and do some explicit motor planning for how to compensate, you still saw a very different steering behavior and compromised performance,” said Lene Harbott, co-author of the research and a research associate in the Revs Program at Stanford.
Handoff From Computer to Human
The testing was done on a closed course. The participants drove for 15 seconds on a course that included a straightaway and a lane change. Then they took their hands off the wheel and the car took over, bringing them back to the start. After familiarizing themselves with the course four times, the researchers altered the steering ratio of the cars at the beginning of the next lap. The changes were designed to mimic the different steering inputs required at different speeds. The drivers then went around the course 10 more times.
Even though they were notified of the changes to the steering ratio, the drivers’ steering maneuvers differed significantly from their paths previous to the modifications during those ten laps. At the end, the steering ratios were returned to the original settings and the drivers drove 6 more laps around the course. Again the researchers found the drivers needed a period of adjustment to accurately steer the cars.
The DDL experiment is very similar to a classic neuroscience experiment that assesses motor adaptation. In one version, participants use a hand control to move a cursor on a screen to specific points. The way the cursor moves in response to their control is adjusted during the experiment and they, in turn, change their movements to make the cursor go where they want it to go.
Just as in the driving test, people who take part in the experiment have to adjust to changes in how the controller moves the cursor. They also must adjust a second time if the original response relationship is restored. People can performed this experiment themselves by adjusting the speed of the cursor on their personal computers.
“Even though there are really substantial differences between these classic experiments and the car trials, you can see this basic phenomena of adaptation and then after-effect of adaptation,” says IIana Nisky, another co-author of the study and a senior lecturer at Ben-Gurion University in Israel “What we learn in the laboratory studies of adaptation in neuroscience actually extends to real life.”
In neuroscience this is explained as a difference between explicit and implicit learning, Nisky explains. Even when a person is aware of a change, their implicit motor control is unaware of what that change means and can only figure out how to react through experience.
Federal and state regulators are currently working on guidelines that will apply to Level 5 autonomous cars. What the Stanford research shows is that until full autonomy becomes a reality, the “hand off” moment will represent a period of special risk, not because of any failing on the part of computers but rather because of limitations inherent in the brains of human drivers.
The best way to protect ourselves from that period of risk is to eliminate the “hand off” period entirely by ceding total control of driving to computers as soon as possible.
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Ford cancels all-electric F-150 Lightning, announces $19.5 billion in charges
“Rather than spending billions more on large EVs that now have no path to profitability, we are allocating that money into higher returning areas, more trucks and van hybrids, extended range electric vehicles, affordable EVs, and entirely new opportunities like energy storage.”
Ford is canceling the all-electric F-150 Lightning and also announced it would take a $19.5 billion charge as it aims to quickly restructure its strategy regarding electrification efforts, a massive blow for the Detroit-based company that was once one of the most gung-ho on transitioning to EVs.
The announcement comes as the writing on the wall seemed to get bolder and more identifiable. Ford was bleeding money in EVs and, although it had a lot of success with the all-electric Lightning, it is aiming to push its efforts elsewhere.
It will also restructure its entire strategy on EVs, and the Lightning is not the only vehicle getting the boot. The T3 pickup, a long-awaited vehicle that was developed in part of a skunkworks program, is also no longer in the company’s plans.
Instead of continuing on with its large EVs, it will now shift its focus to hybrids and “extended-range EVs,” which will have an onboard gasoline engine to increase traveling distance, according to the Wall Street Journal.
“Ford no longer plans to produce select larger electric vehicles where the business case has eroded due to lower-than-expected demand, high costs, and regulatory changes,” the company said in a statement.
🚨 Ford has announced it is discontinuing production of the F-150 Lightning, as it plans to report a charge of $19.5 billion in special items.
The Lightning will still be produced, but instead with a gas generator that will give it over 700 miles of range.
“Ford no longer… pic.twitter.com/ZttZ66SDHL
— TESLARATI (@Teslarati) December 15, 2025
While unfortunate, especially because the Lightning was a fantastic electric truck, Ford is ultimately a business, and a business needs to make money.
Ford has lost $13 billion on its EV business since 2023, and company executives are more than aware that they gave it plenty of time to flourish.
Andrew Frick, President of Ford, said:
“Rather than spending billions more on large EVs that now have no path to profitability, we are allocating that money into higher returning areas, more trucks and van hybrids, extended range electric vehicles, affordable EVs, and entirely new opportunities like energy storage.”
CEO Jim Farley also commented on the decision:
“Instead of plowing billions into the future knowing these large EVs will never make money, we are pivoting.”
Farley also said that the company now knows enough about the U.S. market “where we have a lot more certainty in this second inning.”
SpaceX employees, including its CEO Elon Musk, shaded American Airlines on social media this past weekend due to the company’s reported talks with Amazon’s Starlink rival, Leo.
Starlink has been adopted by several airlines, including United Airlines, Qatar Airways, Hawaiian Airlines, WestJet, Air France, airBaltic, and others. It has gained notoriety as an extremely solid, dependable, and reliable option for airline travel, as traditional options frequently cause users to lose connection to the internet.
Many airlines have made the switch, while others continue to mull the options available to them. American Airlines is one of them.
A report from Bloomberg indicates the airline is thinking of going with a Starlink rival owned by Amazon, called Leo. It was previously referred to as Project Kuiper.
American CEO Robert Isom said (via Bloomberg):
“While there’s Starlink, there are other low-Earth-orbit satellite opportunities that we can look at. We’re making sure that American is going to have what our customers need.”
Isom also said American has been in touch with Amazon about installing Leo on its aircraft, but he would not reveal the status of any discussions with the company.
The report caught the attention of Michael Nicolls, the Vice President of Starlink Engineering at SpaceX, who said:
“Only fly on airlines with good connectivity… and only one source of good connectivity at the moment…”
CEO Elon Musk replied to Nicolls by stating that American Airlines risks losing “a lot of customers if their connectivity solution fails.”
American Airlines will lose a lot of customers if their connectivity solution fails
— Elon Musk (@elonmusk) December 14, 2025
There are over 8,000 Starlink satellites in orbit currently, offering internet coverage in over 150 countries and territories globally. SpaceX expands its array of satellites nearly every week with launches from California and Florida, aiming to offer internet access to everyone across the globe.
Currently, the company is focusing on expanding into new markets, such as Africa and Asia.
News
Tesla Model Y Standard stuns in new range test, besting its Premium siblings
Tesla’s newer vehicles have continued to meet or exceed their EPA estimates. This is a drastic change, as every 2018-2023 model year Tesla that Edmunds assessed did not meet its range estimates.
The Tesla Model Y Standard stunned in a new range test performed by automotive media outlet Edmunds, besting all of its Premium siblings that are more expensive and more luxurious in terms of features.
Testing showed the Model Y Standard exceeded its EPA-estimated range rating of 321 miles, as Edmunds said it is the “longest-range Model Y that we’ve ever put on our loop.” In the past, some vehicles have come up short in comparison with EPA ranges; for example, the Model Y’s previous generation vehicle had an EPA-estimated range of 330 miles, but only drove 310.
Additionally, the Launch Series Model Y, the first configuration to be built in the “Juniper” program, landed perfectly on the EPA’s range estimates at 327 miles.
It was also more efficient than Premium offerings, as it utilized just 22.8 kWh to go 100 miles. The Launch Series used 26.8 kWh to travel the same distance.
It is tested using Edmunds’ traditional EV range testing procedure, which follows a strict route of 60 percent city and 40 percent highway driving. The average speed throughout the trip is 40 MPH, and the car is required to stay within 5 MPH of all posted speed limits.
Each car is also put in its most efficient drive setting, and the climate is kept on auto at 72 degrees.
“All of this most accurately represents the real-world driving that owners do day to day,” the publication says.
With this procedure, testing is as consistent as it can get. Of course, there are other factors, like temperature and traffic density. However, one thing is important to note: Tesla’s newer vehicles have continued to meet or exceed their EPA estimates. This is a drastic change, as every 2018-2023 model year Tesla that Edmunds assessed did not meet its range estimates.
Tesla Model Y Standard vs. Tesla Model Y Premium
Tesla’s two Model Y levels both offer a great option for whichever fits your budget. However, when you sit in both cars, you will notice distinct differences between them.
The Premium definitely has a more luxurious feel, while the Standard is stripped of many of the more premium features, like Vegan Leather Interior, acoustic-lined glass, and a better sound system.
You can read our full review of the Model Y Standard below:
Tesla Model Y Standard Full Review: Is it worth the lower price?
Ford cancels all-electric F-150 Lightning, announces $19.5 billion in charges
SpaceX shades airline for seeking contract with Amazon’s Starlink rival
