Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences · 2019 · 19 citations · 29 references
Swarm intelligence, observed in fish schools, bird flocks, and bee swarms, enables social animals to make real‑time group decisions. The study introduces swarm.ai, a platform that lets human swarms converge on decisions in real time, and examines whether such swarms enhance social perceptiveness. Swarm.ai aggregates human inputs in real time, and the study compared swarm performance to individuals and plurality voting. Swarm operation cut social perceptiveness errors by over 50% and, with 99.9% confidence, outperformed individuals and plurality voting.
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.
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Simon Baron‐Cohen, Sally Wheelwright, Jacqueline Hill et al. · PubMed · 2001 · 4.3K citations
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Anita Williams Woolley, Christopher F. Chabris, Alex Pentland et al. · Science · 2010 · 2.5K citations