Enhancing Group Social Perceptiveness through a Swarm-based Decision-Making Platform

dc.contributor.author Askay, David
dc.contributor.author Metcalf, Lynn
dc.contributor.author Rosenberg, Louis
dc.contributor.author Willcox, Gregg
dc.date.accessioned 2019-01-02T23:42:11Z
dc.date.available 2019-01-02T23:42:11Z
dc.date.issued 2019-01-08
dc.description.abstract Swarm Intelligence is natural phenomenon that enables social animals to make group decisions in real-time systems. This process has been deeply studied in fish schools, bird flocks, and bee swarms, where collective intelligence has been observed to emerge. The present paper describes swarm.ai—a collaborative technology that enables swarms of humans to collectively converge upon a decision as a real-time system. Then we present the results of a study investigating if groups working as “human swarms” can amplify their social perceptiveness, a key predictor of collective intelligence. Results showed that groups reduced their social perceptiveness errors by more than half when operating as a swarm. A statistical analysis revealed with 99.9% confidence that groups working as swarms had significantly higher social perceptiveness than either individuals working alone or through plurality vote.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2019.061
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59489
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Design and Development of Collaboration Technologies
dc.subject Collaboration Systems and Technologies
dc.subject Artificial Intelligence, Collective Intelligence, Decision-Making, Emotional Intelligence, Swarm Intelligence
dc.title Enhancing Group Social Perceptiveness through a Swarm-based Decision-Making Platform
dc.type Conference Paper
dc.type.dcmi Text
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