The motor Wisdom of the Crowd
Autor: | Gabriel Madirolas, Regina Zaghi-Lara, Alex Gomez-Marin, Alfonso Pérez-Escudero |
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Přispěvatelé: | Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), Centre National de la Recherche Scientifique (France), Fondation Fyssen, Ministerio de Economía y Competitividad (España) |
Rok vydání: | 2022 |
Předmět: | |
Zdroj: | Journal of the Royal Society, Interface. 19(195) |
ISSN: | 1742-5662 |
Popis: | Wisdom of the Crowd is the aggregation of many individual estimates to obtain a better collective one. Because of its enormous social potential, this effect has been thoroughly investigated, but predominantly on tasks that involve rational thinking (such as estimating a number). Here we tested this effect in the context of drawing geometrical shapes, which still enacts cognitive processes but mainly involves visuomotor control. We asked more than 700 school students to trace five patterns shown on a touchscreen and then aggregated their individual trajectories to improve the match with the original pattern. Our results show the characteristics of the strongest examples of Wisdom of the Crowd. First, the aggregate trajectory can be up to 5 times more accurate than the individual ones. Second, this great improvement requires aggregating trajectories from different individuals (rather than trials from the same individual). Third, the aggregate trajectory outperforms more than 99% of individual trajectories. Fourth, while older individuals outperform younger ones, a crowd of young individuals outperforms the average older one. These results demonstrate for the first time Wisdom of the Crowd in the realm of motor control, opening the door to further studies of human and also animal behavioural trajectories and their mechanistic underpinnings. This work was funded by the Spanish Ministry of Science (grants BFU2015-74241-JIN and RYC-2017-23599 to A.G.-M.; pre-doctoral contract from RYC-2017-23599 funds to R.Z.-L.), by the Severo Ochoa Center of Excellence programmes (grant no. SEV-2013-0317 start-up funds to A.G.-M.), by a CNRS-Momentum grant to A.P.-E., by the Gore Family Foundation through a start-up grant to A.P.-E. and by the Fyssen Foundation through a Research grant to A.P.-E. |
Databáze: | OpenAIRE |
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