Drivers More Likely to Be Distracted While Using Partial Automation Tech, Study Shows 

Cars are stuck in traffic after police blocked the road in West Palm Beach, Florida, on September 15, 2024 following a shooting incident at former US president Donald Trump's golf course. (AFP)
Cars are stuck in traffic after police blocked the road in West Palm Beach, Florida, on September 15, 2024 following a shooting incident at former US president Donald Trump's golf course. (AFP)
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Drivers More Likely to Be Distracted While Using Partial Automation Tech, Study Shows 

Cars are stuck in traffic after police blocked the road in West Palm Beach, Florida, on September 15, 2024 following a shooting incident at former US president Donald Trump's golf course. (AFP)
Cars are stuck in traffic after police blocked the road in West Palm Beach, Florida, on September 15, 2024 following a shooting incident at former US president Donald Trump's golf course. (AFP)

Drivers are more likely to engage in non-driving activities, such as checking their phones or eating a sandwich, when using partial automation systems, with some easily skirting rules set to limit distractions, new research showed on Tuesday.

Insurance Institute for Highway Safety (IIHS) conducted month-long studies with two such systems - Tesla's Autopilot and Volvo's Pilot Assist - to examine driver behavior when the technology was in use and how it evolved over time.

While launching and commercializing driverless taxis have been tougher than expected, major automakers are in a race to deploy technology that partially automates routine driving tasks to make it easier and safer for drivers, and generate revenue for the companies.

The rush has sparked concerns and litigation around the dangers of driver distraction and crashes involving such technology.

The studies show better safeguards are needed to ensure attentive driving, IIHS said in the report.

Partial automation - a level of "advanced driver assistance systems" - uses cameras, sensors and software to regulate the speed of the car based on other vehicles on the road and keep it in the center of the lane. Some enable lane changing automatically or when prompted.

Drivers, however, are required to continuously monitor the road and be ready to take over at any time, with most systems needing them to keep their hands on the wheel.

"These results are a good reminder of the way people learn," said IIHS President David Harkey. "If you train them to think that paying attention means nudging the steering wheel every few seconds, then that's exactly what they'll do."

"In both these studies, drivers adapted their behavior to engage in distracting activities," Harkey said. "This demonstrates why partial automation systems need more robust safeguards to prevent misuse."

The study with Tesla's Autopilot used 14 people who drove over 12,000 miles (19,300 km) with the system, triggering 3,858 attention-related warnings. On average, drivers responded in about three seconds, usually by nudging the steering wheel, mostly preventing an escalation.

The study with Volvo's Pilot Assist had 29 volunteers who were found to be distracted for 30% of the time while using the system - "exceedingly high" according to the authors.



KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.


Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
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Italy Fines Apple Nearly 100m Euros over App Privacy Feature

An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights
An Apple logo hangs above the entrance to the Apple store on 5th Avenue in the Manhattan borough of New York City, July 21, 2015. REUTERS/Mike Segar/File Photo Purchase Licensing Rights

Italy's competition authority said Monday it had fined US tech giant Apple 98 million euros ($115 million) for allegedly abusing its dominant position in the mobile app market.

According to AFP, the AGCM said in a statement that Apple had violated privacy regulations for third-party developers in a market where it "holds a super-dominant position through its App Store".

The body said its investigation had established the "restrictive nature" of the "privacy rules imposed by Apple... on third-party developers of apps distributed through the App Store".

The rules of Apple's App Tracking Transparency (ATT) "are imposed unilaterally and harm the interests of Apple's commercial partners", according to the AGCM statement.

French antitrust authorities earlier this year handed Apple a 150-million euro fine over its app tracking privacy feature.

Authorities elsewhere in Europe have also opened similar probes over ATT, which Apple promotes as a privacy safeguard.

The feature, introduced by Apple in 2021, requires apps to obtain user consent through a pop-up window before tracking their activity across other apps and websites.

If they decline, the app loses access to information on that user which enables ad targeting.

Critics have accused Apple of using the system to promote its own advertising services while restricting competitors.