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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.
Elon Musk
Elon Musk doubles down on Tesla Cybercab timeline once again
“Cybercab, which has no pedals or steering wheel, starts production in April,” Musk said.
CEO Elon Musk doubled down once again on the timeline of production for the Tesla Cybercab, marking yet another example of the confidence he has in the company’s ability to meet the aggressive timeline for the vehicle.
It is the third time in the past six months that Musk has explicitly stated Cybercab will enter production in April 2026.
On Monday morning, Musk reiterated that Cybercab will enter its initial manufacturing phase in April, and that it would not have any pedals or a steering wheel, two things that have been speculated as potential elements of the vehicle, if needed.
Cybercab, which has no pedals or steering wheel, starts production in April https://t.co/yShxZ2HJqp
— Elon Musk (@elonmusk) February 16, 2026
Musk has been known to be aggressive with timelines, and some products have been teased for years and years before they finally come to fruition.
One of perhaps the biggest complaints about Musk is the fact that Tesla does not normally reach the deadlines that are set: the Roadster, Semi, and Unsupervised Full Self-Driving suite are a few of those that have been given “end of this year” timelines, but have not been fulfilled.
Nevertheless, many are able to look past this as part of the process. New technology takes time to develop, but we’d rather not hear about when, and just the progress itself.
However, the Cybercab is a bit different. Musk has said three times in the past six months that Cybercab will be built in April, and this is something that is sort of out of the ordinary for him.
In December 2025, he said that Tesla was “testing the production system” of the vehicle and that “real production ramp starts in April.
Elon Musk shares incredible detail about Tesla Cybercab efficiency
On January 23, he said that “Cybercab production starts in April.” He did the same on February 16, marking yet another occasion that Musk has his sights set on April for initial production of the vehicle.
Musk has also tempered expectations for the Cybercab’s initial production phase. In January, he noted that Cybercab would be subjected to the S-curve-type production speed:
“…initial production is always very slow and follows an S-curve. The speed of production ramp is inversely proportionate to how many new parts and steps there are. For Cybercab and Optimus, almost everything is new, so the early production rate will be agonizingly slow, but eventually end up being insanely fast.”
Cybercab will be a huge part of Tesla’s autonomous ride-sharing plans moving forward.
Elon Musk
Tesla owners explore potential FSD pricing options as uncertainty looms
We asked Tesla owners what the company should price Full Self-Driving moving forward, as now it’s going to be subscription-based. There were some interesting proposals.
Tesla is starting the process of removing the ability to purchase the Full Self-Driving suite outright, as it pulled the purchase option in the United States over the weekend.
However, there has been some indication by CEO Elon Musk that the price of the subscription will increase as the suite becomes more robust. But Tesla finds itself in an interesting situation with this: the take rate for Full Self-Driving at $99 per month is about 12 percent, and Musk needs a significant increase in this rate to reach a tranche in his new compensation package.
This leaves Tesla and owners in their own respective limbos: Tesla needs to find a price that will incentivize consumers to use FSD, while owners need Tesla to offer something that is attractive price-wise.
We asked Tesla owners what the company should price Full Self-Driving moving forward, as now it’s going to be subscription-based. There were some interesting proposals.
Price Reduction
Although people are willing to pay the $99 per month for the FSD suite, it certainly is too high for some owners. Many suggested that if Tesla would back down the price to $49, or somewhere around that region, many owners would immediately subscribe.
Others suggested $69, which would make a lot of sense considering Musk’s obsession with that number.
Different Pricing for Supervised and Unsupervised
With the release of the Unsupervised version of Full Self-Driving, Tesla has a unique opportunity to offer pricing for different attention level requirements.
$50/mo for supervised.
$300/mo for unsupervised including insurance.— pɦoɿɟ pᴉʌɒp (@CSUDavid) February 15, 2026
Unsupervised Full Self-Driving would be significantly more expensive, but not needed by everyone. Many people indicate they would still like to drive their cars manually from time to time, but others said they’d just simply be more than okay with only having Supervised FSD available in their cars.
Time-Based Pricing
Tesla could price FSD on a duration-based pricing model, including Daily, Weekly, Monthly, and Annual rates, which would incentivize longer durations with better pricing.
Annually, the rate could be $999 per year, while Monthly would stay at $99. However, a Daily pass of FSD would cost somewhere around $10, while a $30 per week cost seems to be ideal.
These all seem to be in line with what consumers might want. However, Tesla’s attitude with FSD is that it is the future of transportation, and with it offering only a Monthly option currently, it does not seem as if it will look as short-term as a Daily pass.
Tiered Pricing
This is perhaps the most popular option, according to what we’ve seen in comments and replies.
This would be a way to allow owners to pick and choose which FSD features they would like most and pay for them. The more features available to you, the more it costs.
For example, if someone only wanted Supervised driving and Autopark, it could be priced at $50 per month. Add in Summon, it could be $75.
This would allow people to pick only the features they would use daily.
Tesla has left a single loophole to purchase Full Self-Driving outright. On Sunday, the option officially disappeared from the Online Design Studio in the United States, as Tesla transitioned to a Subscription-only purchasing plan for the FSD suite.
However, there is still one way to get the Full Self-Driving suite in an outright manner, which would not require the vehicle owner to pay monthly for the driver assistance program — but you have to buy a Model S or Model X.
Months ago, Tesla launched a special “Luxe Package” for the Model S and Model X, which included Full Self-Driving for the life of the vehicle, as well as free Supercharging at over 75,000 locations, as well as free Premium Connectivity, and a Four-Year Premium Service package, which includes wheel and tire protection, windshiel protection, and recommended maintenance.
🚨 Tesla increased the price of both the Model S and Model X by $10,000, but both vehicles now include the “Luxe Package,” which includes:
-Full Self-Driving
-Four years of included maintenance, tire and wheel repairs, and windshield repairs/replacements
-Free lifetime… pic.twitter.com/LKv7rXruml— TESLARATI (@Teslarati) August 16, 2025
It would also be available through the purchase of a Cyberbeast, the top trim of the Cybertruck lineup.
This small loophole would allow owners to avoid the monthly payment, but there have been some changes in the fine print of the program, as Tesla has added that it will not be transferable to subsequent vehicle owners or to another vehicle.
This goes for the FSD and the Supercharging offers that come with the Luxe Package.
For now, Tesla still has the Full Self-Driving subscription priced at $99 per month. However, that price is expected to increase over the course of some time, especially as its capabilities improve. Tesla seems to be nearing Unsupervised FSD based on Musk’s estimates for the Cybercab program.
There is the potential that Tesla offers both Unsupervised and Supervised FSD for varying prices, but this is not confirmed.
In other countries, Tesla has pushed back the deadline to purchase the suite outright, as in Australia, it has been adjusted to March 31.
Elon Musk doubles down on Tesla Cybercab timeline once again
Tesla owners explore potential FSD pricing options as uncertainty looms
