Plasticity in leader–follower roles in human teams
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Métodos Cuantitativos para la Economía y la EmpresaPatrocinadores
We would like to thank Dr. Oded Nov for valuable discussions, Marina Torre for helping recruit volunteers, David Diner, Tyrone J Tolbert Jr., and Hartek Sabharwal for developing the experimental platform, and Diletta Topazio for helping conduct the pilot experiment. This study was supported by National Science Foundation (CBET 1547864) to M.P., ECO 2016-76178-P to M.C., and ECO 2015-65637-P to M.R.M. This study contributes to the activity carried out under the program Groups of Excellence of the region of Murcia, the Fundacion Seneca, Science and Technology Agency of the region of Murcia project 19884/GERM/15Fecha de publicación
2017-11-06Editorial
Nature Publishing GroupCita bibliográfica
NAKAYAMA, Shinnosuke et al. Plasticity in leader–follower roles in human teams. En: Scientific Reports, 2017, vol. 7, núm. (1). doi: 10.1038/s41598-017-14851-6Palabras clave
Citizen scienceReaction-time
Personality
Consistency
Evolution
Resumen
In humans, emergence of leaders and followers is key to group performance, but little is known about the whys and hows of leadership. A particularly elusive question entails behavioral plasticity in leadership across social contexts. Addressing this question requires to eliminate social feedback between focal individuals and their partners in experiments that could illuminate the spontaneous emergence of social roles. We investigated plasticity in leader-follower roles in cooperation, where members choose the task toward a shared goal, and coordination, where members adjust their actions in real time based on social responsiveness. Through a computer-programmed virtual partner, we demonstrate adaptive plasticity in leader-follower roles. Humans increased their followership to cooperate when the partner led more in the choice of the task, whereas they showed only weak leadership when the partner followed more. We leveraged the information-theoretic notion of transfer entropy to quantify ...
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