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It Takes Less Than a Second to Tell Humans From Androids

Summary: Researchers have discovered a visual mechanism that helps us to make snap judgement about what is really alive and what is simulated in a matter of milliseconds.

Source: UC Berkeley.

TV shows may have us fooled, but in real life, our brains make accurate snap judgments about what is real.

It can be hard to tell the difference between humans and androids in such sci-fi TV shows as “Westworld.” But in real life, beyond our screens, the human brain takes less than a second to tell between reality and fantasy, according to new research from the University of California, Berkeley.

The findings, published in the November issue of the journal Nature Communications, show that humans are visually wired to speedily take in information and make a snap judgment about what’s real.

UC Berkeley scientists have discovered a visual mechanism they call “ensemble lifelikeness perception,” which determines how we perceive groups of objects and people in real and virtual or artificial worlds.

“This unique visual mechanism allows us to perceive what’s really alive and what’s simulated in just 250 milliseconds,” said study lead author Allison Yamanashi Leib, a postdoctoral scholar in psychology at UC Berkeley. “It also guides us to determine the overall level of activity in a scene.”

Vision scientists have long assumed that humans need to carefully consider multiple details before they can judge if a person or object is lifelike.

“But our study shows that participants made animacy decisions without conscious deliberation, and that they agreed on what was lifelike and what was not,” said study senior author David Whitney, a UC Berkeley psychology professor. “It is surprising that, even without talking about it or deliberating about it together, we immediately share in our impressions of lifelikeness.”

Using ensemble perception, study participants could also make snap judgments about the liveliness of groups of objects or people or entire scenes, without focusing on all the individual details, Whitney said.

“In real life, tourists, shoppers and partiers all use visual cues processed through ensemble perception to gauge where the action is at,” Yamanashi Leib said.

Moreover, if we did not possess the ability to speedily determine lifelikeness, our world would be very confusing, with every person, animal or object we see appearing to be equally alive, Whitney said.

For the study, researchers conducted 12 separate experiments on a total of 68 healthy adults with normal vision. In the majority of trials, participants viewed up to a dozen images of random people, animals and objects including an ice cream sundae, a guinea pig wearing a shirt, a hockey player, a statue of a wooly mammoth, a toy car carrying toy passengers, a caterpillar and more.

Image shows a woman and a bot.

Vision scientists have long assumed that humans need to carefully consider multiple details before they can judge if a person or object is lifelike. NeuroscienceNews.com image is for illustrative purposes only.

Participants quickly viewed groups of images, then rated them on a scale of 1 to 10 according to their average lifelikeness. Participants accurately assessed the average lifelikeness of the groups, even those displayed for less than 250 milliseconds.

In another experiment to test participants’ memory for details, researchers flashed images, then showed them ones that participants had seen as well as ones they had not. The results indicated that while participants had forgotten a lot of details, their “ensemble perception” of what had been lifelike remained sharp.

“This suggests that the visual system favors abstract global impressions such as lifelikeness at the expense of the fine details,” Whitney said. “We perceive the forest, and how alive it is, but not the trees.”

About this neuroscience research article

Source: Yasmin Anwar – UC Berkeley
Image Source: NeuroscienceNews.com image is credited to UC Berkeley.
Original Research: Full open access research for “Fast ensemble representations for abstract visual impressions” by Allison Yamanashi Leib, Anna Kosovicheva & David Whitney in Nature Communications Published online November 16 2016 doi:10.1038/ncomms13186

Cite This NeuroscienceNews.com Article
UC Berkeley “It Takes Less Than a Second to Tell Humans From Androids.” NeuroscienceNews. NeuroscienceNews, 28 November 2016.
<http://neurosciencenews.com/human-android-difference-5617/>.
UC Berkeley (2016, November 28). It Takes Less Than a Second to Tell Humans From Androids. NeuroscienceNew. Retrieved November 28, 2016 from http://neurosciencenews.com/human-android-difference-5617/
UC Berkeley “It Takes Less Than a Second to Tell Humans From Androids.” http://neurosciencenews.com/human-android-difference-5617/ (accessed November 28, 2016).

Abstract

Fast ensemble representations for abstract visual impressions

Much of the richness of perception is conveyed by implicit, rather than image or feature-level, information. The perception of animacy or lifelikeness of objects, for example, cannot be predicted from image level properties alone. Instead, perceiving lifelikeness seems to be an inferential process and one might expect it to be cognitively demanding and serial rather than fast and automatic. If perceptual mechanisms exist to represent lifelikeness, then observers should be able to perceive this information quickly and reliably, and should be able to perceive the lifelikeness of crowds of objects. Here, we report that observers are highly sensitive to the lifelikeness of random objects and even groups of objects. Observers’ percepts of crowd lifelikeness are well predicted by independent observers’ lifelikeness judgements of the individual objects comprising that crowd. We demonstrate that visual impressions of abstract dimensions can be achieved with summary statistical representations, which underlie our rich perceptual experience.

“Fast ensemble representations for abstract visual impressions” by Allison Yamanashi Leib, Anna Kosovicheva & David Whitney in Nature Communications Published online November 16 2016 doi:10.1038/ncomms13186

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