Collective information processing in human phase separation.
collective human behaviour
collective information processing
collective motion
computational modelling
phase separation
Journal
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623
Informations de publication
Date de publication:
14 09 2020
14 09 2020
Historique:
entrez:
28
7
2020
pubmed:
28
7
2020
medline:
1
5
2021
Statut:
ppublish
Résumé
In our digital societies, individuals massively interact through digital interfaces whose impact on collective dynamics can be important. In particular, the combination of social media filters and recommender systems can lead to the emergence of polarized and fragmented groups. In some social contexts, such segregation processes of human groups have been shown to share similarities with phase separation phenomena in physics. Here, we study the impact of information filtering on collective segregation behaviour of human groups. 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 colour (red or blue) unknown to them, and have to regroup with other subjects sharing the same colour. To assist them, they are equipped with an artificial sensory device capable of detecting the majority colour in their 'environment' (defined as their
Identifiants
pubmed: 32713296
doi: 10.1098/rstb.2019.0801
pmc: PMC7423375
doi:
Banques de données
figshare
['10.6084/m9.figshare.9897590', '10.6084/m9.figshare.c.5025686']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
20190801Références
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