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.



Adobe to Launch Generative AI Video Creation Tool Later this Year

Adobe logo is seen on smartphone in this illustration taken June 13, 2022. (Reuters)
Adobe logo is seen on smartphone in this illustration taken June 13, 2022. (Reuters)
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Adobe to Launch Generative AI Video Creation Tool Later this Year

Adobe logo is seen on smartphone in this illustration taken June 13, 2022. (Reuters)
Adobe logo is seen on smartphone in this illustration taken June 13, 2022. (Reuters)

Adobe will unveil a new generative AI-powered video creation and editing tool in a limited release later this year, the software maker said on Wednesday, as it looks to beef up its suite of applications catering to creative professionals.

Dubbed Adobe Firefly Video Model, the artificial intelligence tool will be released in beta and will join the Photoshop maker's existing line of Firefly image-generating applications that allow users to produce still images, designs and vector graphics.

The model will establish Adobe in the growing market for AI-based video generation tools, a space already targeted by OpenAI's Sora, Stability AI's Stable Video Diffusion and other AI video apps from smaller startups, Reuters reported.

The tool can generate a five-second clip for a single prompt and can interpret both text and image prompts, said Alexandru Costin, vice president of generative AI at Adobe. Users can also specify the required camera angle, panning, motion and zoom.

"We've invested in making this model reach the level of quality and prompt understanding that videographers expect. We've invested in making sure we really pay attention to the prompt ... respecting guidance from videographers much better than other (AI video) models," Costin told Reuters in an interview.

Adobe said the video model is trained on public domain or licensed content that it has permission to use, and not on any Adobe customer content.

"We only train them on the Adobe Stock database of content that contains 400 million images, illustrations, and videos that are curated to not contain intellectual property, trademarks or recognizable characters," Costin said.

Adobe is also rolling out Generative Extend, a tool that will be available in its Premiere Pro video editing software, which can extend any existing clip by two seconds by generating an appropriate insert to fill gaps in the footage.

First previewed in April, the tool has seen "a huge positive reaction from all of our customers", Costin said.