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
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

20190801

Références

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pubmed: 24312725
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pubmed: 32713309
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pubmed: 10054025
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pubmed: 25164995
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pubmed: 18227508

Auteurs

Bertrand Jayles (B)

Laboratoire de Physique Théorique, CNRS, Université de Toulouse - Paul Sabatier, 31062 Toulouse, France.
Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, CNRS, Université de Toulouse - Paul Sabatier, Toulouse, France.

Ramón Escobedo (R)

Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, CNRS, Université de Toulouse - Paul Sabatier, Toulouse, France.

Roberto Pasqua (R)

Laboratoire d'Analyse et d'Architecture des Systèmes, CNRS, Université de Toulouse, Toulouse, France.

Christophe Zanon (C)

Laboratoire d'Analyse et d'Architecture des Systèmes, CNRS, Université de Toulouse, Toulouse, France.

Adrien Blanchet (A)

Toulouse School of Economics, CNRS, Université de Toulouse - Capitole, Toulouse, France.
Institute for Advanced Study in Toulouse, Toulouse, France.

Matthieu Roy (M)

Laboratoire d'Analyse et d'Architecture des Systèmes, CNRS, Université de Toulouse, Toulouse, France.

Gilles Tredan (G)

Laboratoire d'Analyse et d'Architecture des Systèmes, CNRS, Université de Toulouse, Toulouse, France.

Guy Theraulaz (G)

Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, CNRS, Université de Toulouse - Paul Sabatier, Toulouse, France.
Institute for Advanced Study in Toulouse, Toulouse, France.

Clément Sire (C)

Laboratoire de Physique Théorique, CNRS, Université de Toulouse - Paul Sabatier, 31062 Toulouse, France.

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Classifications MeSH