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Drivers are slower to respond to emergencies in semi-automated cars

Researchers found that drivers who were watching videos while the car was in autonomous mode responded more slowly and severely to an emergency. The study suggests that new ways of assessing driver safety will be needed as technology develops, including designing systems to improve driver response during system failures.

SourceElsevier·JournalJournal of Safety Research·DateMay 8, 2017

Think you can handle your alcohol? Study may urge some drinkers to think again

Researchers found that heavy drinkers developed behavioral tolerance to alcohol on simpler fine motor tasks, such as the Grooved Pegboard Test, but not on more complex tasks like the Digit Symbol Substitution Test. Despite faster metabolism, heavy drinkers showed similar levels of impairment on these tasks compared to light drinkers.

SourceVeterans Affairs Research Communications·JournalPsychopharmacology·DateApr 13, 2017

Sub-second system seizures

Researcher Neil Johnson studied sub-second delays in electronic stock exchange data, finding that natural delays already exist in these systems, which can become correlated and cause unexpected behaviors. Introducing more delays could be disastrous, as humans wouldn't be able to respond quickly enough.

SourceUniversity of Miami·JournalScience·DateMar 8, 2017

What do Google search queries reveal about brand attitudes?

Researchers found that users who are actively shopping in a category are more likely to search for any brand, but as users move from recognition to purchase intent, they become increasingly more likely to search for the specific brand. Brand owners are also more likely to search for their brand, even when not actively shopping.

SourceDrexel University·JournalJournal of Interactive Marketing·DateJan 4, 2017

Expectation versus reality in the acceptance of self-driving cars

Research suggests that public acceptance of self-driving cars is lower than expected, with many people preferring a more realistic portrayal of the technology. The study found that participants who read an idealized description of self-driving car ownership were more accepting than those who read a more realistic scenario.

SourceHuman Factors and Ergonomics Society·JournalProceedings of the Human Factors and Ergonomics Society Annual Meeting·DateDec 5, 2016

What factors are influencing electric vehicle purchases in China?

A study in China found that monthly income, the number of cars a family owns, sustainability, and vehicle comfort are the most influential factors behind buyers' decisions to purchase electric vehicles. The researchers also discovered that age, marital status, and city of residence play a role in consumers' decision-making process.

SourceAmerican Institute of Physics·JournalJournal of Renewable and Sustainable Energy·DateNov 15, 2016

Light drives single-molecule nanoroadsters

Researchers at Rice University and the University of Graz successfully drove single-molecule nanoroadsters using light, demonstrating a new method for propulsion. The vehicles, made of 112 atoms, reached a top speed of 23 nanometers per hour and showed wavelength sensitivity.

SourceRice University·JournalACS Nano·DateNov 4, 2016

Public's moral inconsistencies create dilemma for programming driverless cars

A new survey reveals public inconsistencies in prioritizing individual and collective safety in autonomous cars. Participants preferred self-protective vehicles over utilitarian ones, despite valuing the greater good. The findings highlight the need for regulation and challenge programmers to balance ethics and AI development.

Nanocars taken for a rough ride

Researchers at Rice University tested nanocars in ambient conditions, finding they stuck to surfaces due to hydrophobicity. The vehicles slowed down as molecules absorbed from the air created obstacles that acted like sticky foam, eventually trapping them.

SourceRice University·JournalThe Journal of Physical Chemistry C·DateJun 1, 2016

A sixth sense protects drivers except when texting

A study by the University of Houston found that drivers' natural ability to correct themselves while driving is more effective than previously thought. When drivers are distracted or upset, their brain's automatic error correction system helps them stay on course, but texting significantly disrupts this process.

SourceUniversity of Houston·JournalScientific Reports·DateMay 12, 2016