Collective Information Processing in Human Phase Separation
Bertrand Jayles, Ram\'on Escobedo, Roberto Pasqua, Christophe Zanon,, Adrien Blanchet, Matthieu Roy, Gilles Tredan, Guy Theraulaz, Cl\'ement Sire

TL;DR
This study explores how information filtering influences collective segregation behavior in humans, demonstrating that perception range affects group formation and drawing parallels with phase separation phenomena in physics.
Contribution
The paper introduces experimental evidence on how perception range impacts human group segregation and models this behavior with a physics-inspired framework.
Findings
Perception range $k=7$ optimizes segregation quality.
Group segregation dynamics resemble phase separation in physics.
A model accurately reproduces experimental segregation patterns.
Abstract
Social media filters combined with recommender systems can lead to the emergence of filter bubbles and polarized groups. In addition, segregation processes of human groups in certain social contexts have been shown to share some similarities with phase separation phenomena in physics. Here, we study the impact of information filtering on collective segregation behavior. We report a series of experiments where groups of 22 subjects have to perform a collective segregation task that mimics the tendency of individuals to bond with other similar individuals. More precisely, the participants are each assigned a color (red or blue) unknown to them, and have to regroup with other subjects sharing the same color. To assist them, they are equipped with an artificial sensory device capable of detecting the majority color in their ``environment'' (defined as their nearest neighbors,…
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