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.



Saudi Tuwaiq Academy Launches First AI Diploma in Partnership with Meta

Saudi Tuwaiq Academy Launches First AI Diploma in Partnership with Meta
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Saudi Tuwaiq Academy Launches First AI Diploma in Partnership with Meta

Saudi Tuwaiq Academy Launches First AI Diploma in Partnership with Meta

Saudi Arabia’s Tuwaiq Academy launched its first diploma in Data Science and Artificial Intelligence (AI) in partnership with Meta at its headquarters in Riyadh.

The nine-month program, which begins in December 2024, aims to develop exceptional national talent and address the need for advanced positions across various sectors, reported the Saudi Press Agency on Saturday.

Accredited by the Technical and Vocational Training Corporation, the diploma focuses on developing trainees' practical and applied skills in a competitive learning environment tailored to market needs.

Key areas include machine learning, data analysis using Python and Tableau, AI-based system development, and big data management to create innovative technological solutions for various segments of society.

The academy has opened registration for the diploma on its website.

Tuwaiq Academy is the first of its kind to offer professional boot camps and programs, benefiting over 1,000 in-person trainees daily.

The academy partners with major global organizations, including Meta, Apple, Microsoft, Amazon, Alibaba, and other leading entities to bridge the gap between advancements in modern technology and the needs of the labor market.