One of the crowd or one of a kind? New artificial intelligence research indicates we're a bit of both

One of the crowd or one of a kind? New artificial intelligence research indicates we're a bit of both
Example frames of the experiment. The left frame shows the virtual agents looking up. The right frame shows the participant’s response. Credit: iScience (2022). DOI: 10.1016/j.isci.2022.104891

An Aston University computer scientist has used artificial intelligence (AI) to show that we are not as individual as we may like to think.

In the late 1960s, famous psychologist Stanley Milgram demonstrated that if a person sees a looking in one direction, they're likely to follow their .

Now, Dr. Ulysses Bernardet in the Computer Science Research Group at Aston University, collaborating with experts from Belgium and Germany, has found evidence that our actions follow a two-step process when we're in a crowd.

Their results, "Evidence for a two-step model of social group influence," published in iScience show that we go through a two-stage process, where we're more likely to imitate a crowd first and think independently second.

The researchers believe their findings will increase the understanding of how humans make decisions based on what others are doing.

To test this idea the academics created an (VR) experiment set in a simulated city street.

Each of the 160 participants was observed individually as they watched a movie within the that had been created for the experiment.

Credit: iScience (2022). DOI: 10.1016/j.isci.2022.104891

As they watched the movie, 10 computer-generated "spectators" within the VR simulated street were operated by AI to attempt to influence the direction of the gaze of the individual participants.

During the experiment, three such as an explosion were played coming from either the left or right of the virtual street. At the same time, a number of the "spectators" looked in a specific direction, not always in the direction of the virtual blast or the other two sounds.

The calculated a direct, and an indirect, measure of gaze-following.

The direct measure was the proportion of trials in which participants followed the gaze of the crowd.

The indirect measure took into account the reaction speed of participants dependent on whether they were instructed to look in the same or opposite direction as the audience.

The experiment's results support the understanding that the influence of a crowd is best explained by a two-step model.

Dr. Bernardet says that "humans demonstrate an initial tendence to follow others—a reflexive, imitative process. But this is followed by a more deliberate, strategic processes when a person will decide whether to copy others around them, or not."

"One way in which groups affect individuals is by steering their gaze."

"This influence is not only felt in the form of social norms but also impacts immediate actions and lies at the heart of group behaviors such as rioting and mass panic."

"Our model is not only consistent with evidence gained using brain imaging, but also with recent evidence that gaze following is the manifestation of a complex interplay between basic attentional and advanced social processes."

More information: Emiel Cracco et al, Evidence for a two-step model of social group influence, iScience (2022). DOI: 10.1016/j.isci.2022.104891

Journal information: iScience

Provided by Aston University
Citation: One of the crowd or one of a kind? New artificial intelligence research indicates we're a bit of both (2022, October 24) retrieved 4 February 2023 from https://techxplore.com/news/2022-10-crowd-kind-artificial-intelligence-bit.html
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