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Stanford studies human impact when self-driving car returns control to driver

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Tesla Autopilot in 'Shadow Mode' will pit human vs computer

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.

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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.

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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.

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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.

"I write about technology and the coming zero emissions revolution."

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Tesla dominates JD Power EV Satisfaction ranking, grabbing top two spots

The Model 3 was the highest ranking EV considered, with a score of 804, followed by the Model Y at 797, the BMW i4 at 795, and the BMW iX at 794.

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Credit: Tesla Europe & Middle East/X

Tesla dominated JD Power’s EV Owner Satisfaction ranking for 2026, grabbing the top two spots in the survey with the Model 3 and Model Y.

The two Tesla models grabbed the first and second spots, respectively, with scores of 804 and 797 out of 1,000 possible points.

Brent Gruber, Executive Director of JD Power’s EV practice, said:

“EV market share has declined sharply following the discontinuation of the federal tax credit program in September 2025, but that dip belies steadily growing customer satisfaction among owners of new EVs. Improvements in battery technology, charging infrastructure, and overall vehicle performance have driven customer satisfaction to its highest level ever. What’s more, the vast majority of current EV owners say they will consider purchasing another EV for their next vehicle, regardless of whether they benefited from the now-expired federal tax credit.”

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JD Power’s study showed three key findings: Public charging satisfaction was higher than ever, premium BEVs saw more pronounced quality improvements, and BEVs held their satisfaction ratings compared to plug-in hybrid electric vehicles (PHEVs).

Tesla Grabs Top 2 Spots

Despite what some publications might try to make you believe, Tesla is still the cream of the crop when it comes to EV ownership, and real-world owners surveyed by JD Power will prove that to you.

The Model 3 was the highest ranking EV considered, with a score of 804, followed by the Model Y at 797, the BMW i4 at 795, and the BMW iX at 794. The segment average for “Premium Battery Electric Vehicles” was 786. The Cadillac OPTIQ (762), Rivian R1S (758), Lucid Air (740), Rivian R1T (739), and Audi Q6 e-Tron (690) all finished below that threshold.

Tesla Model 3 wins Edmunds’ Best EV of 2026 award

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Meanwhile, a separate category for “Mass Market Battery Electric Vehicles” had the Ford Mustang Mach-E as the EV with the highest rating at 760. The segment average for this class was 727.

Tesla Supercharging Improves Public Charging Satisfaction

JD Power said the availability of public charging is “by far the most improved index factor,” and that the consistent growth of publicly available charging has helped push many consumer sentiments in a positive direction.

Most of this is due to the Tesla Supercharger Network and its expansion. However, Tesla owners are also becoming more satisfied with the infrastructure after expanding access to other EV brands, the study said.

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Musk company boycott proposal at City Council meeting gets weird and ironic

The City of Davis in California held a weekly city council meeting on Tuesday, where it voted on a proposal to ban Musk-operated companies. It got weird and ironic.

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Credit: Grok

A city council meeting in California that proposed banning the entry of new contracts with companies controlled by Elon Musk got weird and ironic on Tuesday night after councilmembers were forced to admit some of the entities would benefit the community.

The City of Davis in California held a weekly city council meeting on Tuesday, where it voted on a proposal called “Resolution Ending Engagement With Elon Musk-Controlled Companies and To Encourage CalPERS To Divest Stock In These Companies.”

The proposal claimed that Musk ” has used his influence and corporate platforms to promote political ideologies and activities that threaten democratic norms and institutions, including campaign finance activities that raise ethical and legal concerns.”

We reported on it on Tuesday before the meeting:

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California city weighs banning Elon Musk companies like Tesla and SpaceX

However, the meeting is now published online, and it truly got strange.

While it was supported by various members of the community, you could truly tell who was completely misinformed about the influence of Musk’s companies, their current status from an economic and competitive standpoint, and how much some of Musk’s companies’ projects benefit the community.

City Council Member Admits Starlink is Helpful

One City Council member was forced to admit that Starlink, the satellite internet project established by Musk’s SpaceX, was beneficial to the community because the emergency response system utilized it for EMS, Fire, and Police communications in the event of a power outage.

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After public comments were heard, councilmembers amended some of the language in the proposal to not include Starlink because of its benefits to public safety.

One community member even said, “There should be exceptions to the rule.”

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Community Members Report Out of Touch Mainstream Media Narratives

Many community members very obviously read big bold headlines about how horribly Tesla is performing in terms of electric vehicles. Many pointed to “labor intimidation” tactics being used at the company’s Fremont Factory, racial discrimination lawsuits, and Musk’s political involvement as clear-cut reasons why Davis should not consider his companies for future contracts.

However, it was interesting to hear some of them speak, very obviously out of touch with reality.

Musk has encouraged unions to propose organizing at the Fremont Factory, stating that many employees would not be on board because they are already treated very well. In 2022, he invited Union leaders to come to Fremont “at their convenience.”

The UAW never took the opportunity.

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Some have argued that Tesla prevented pro-union clothing at Fremont, which it did for safety reasons. An appeals court sided with Tesla, stating that the company had a right to enforce work uniforms to ensure employee safety.

Another community member said that Tesla was losing market share in the U.S. due to growing competition from legacy automakers.

“Plus, these existing auto companies have learned a lot from what Tesla has done,” she said. Interestingly, Ford, General Motors, and Stellantis have all pulled back from their EV ambitions significantly. All three took billions in financial hits.

One Resident Crosses a Line

One resident’s time at the podium included this:

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He was admonished by City Council member Bapu Vaitla, who said his actions were offensive. The two sparred verbally for a few seconds before their argument ended.

City Council Vote Result

Ultimately, the City of Davis chose to pass the motion, but they also amended it to exclude Starlink because of its emergency system benefits.

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Elon Musk’s xAI Secures $3B Investment From Saudi AI Firm HUMAIN

The transaction converts HUMAIN’s xAI stake into SpaceX shares, positioning the Saudi-backed firm as a significant minority shareholder in the newly combined entity.

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Credit: xAI

Saudi artificial intelligence firm HUMAIN has confirmed a $3 billion Series E investment in xAI just weeks before the startup’s merger with SpaceX.

The transaction converts HUMAIN’s xAI stake into SpaceX shares, positioning the Saudi-backed firm as a significant minority shareholder in the newly combined entity.

The investment gives HUMAIN exposure to what has been described as one of the largest technology mergers on record, combining xAI’s artificial intelligence capabilities with SpaceX’s scale, infrastructure, and engineering base, as noted in a press release.

“This investment reflects HUMAIN’s conviction in transformational AI and our ability to deploy meaningful capital behind exceptional opportunities where long-term vision, technical excellence, and execution converge, xAI’s trajectory, further strengthened by its acquisition by SpaceX, one of the largest technology mergers on record, represents the kind of high-impact platform we seek to support with significant capital” HUMAIN CEO Tareq Amin stated.

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The investment also positions HUMAIN for potential long-term equity upside should SpaceX proceed with a public offering.

The investment expands on an existing partnership announced in November 2025 at the U.S.-Saudi Investment Forum. Under that agreement, HUMAIN and xAI committed to jointly develop more than 500 megawatts of next-generation AI data center and compute infrastructure in Saudi Arabia.

The collaboration also includes deployment of xAI’s Grok models within the kingdom, aligning with Saudi Arabia’s broader strategy to build domestic AI capacity and attract global technology players.

HUMAIN, backed by the Public Investment Fund, is positioning itself as a full-stack AI player spanning advanced data centers, cloud infrastructure, AI models, and applied solutions. The Series E investment deepens its role from development partner to major shareholder in the Musk-led AI and space platform.

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