Performance similarities predict collective benefits in dyadic and triadic joint visual search.

Performance similarities predict collective benefits in dyadic and triadic joint visual search.
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DOI:
10.1371/journal.pone.0191179
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发表时间:
2018
期刊:
影响因子:
3.7
通讯作者:
König P
König P
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Wahn B;Czeszumski A;König P

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当人类一起执行任务时,与组中的最佳成员相比,他们可以达到更高的性能(即,集体利益)。早期的研究表明,个体间的表现相似性可以预测几项联合任务的集体利益。然而,研究人员没有测试联合视觉空间任务是否如此。此外,研究人员没有调查当他们在执行视觉空间任务时被禁止交换任何信息时,二人组和三人组是否会获得集体利益。在这项研究中,参与者进行了联合视觉搜索任务,无论是单独,在二人组,或在三人组,并不允许交换任何信息,而做的任务。我们发现,二分体达到了一个集体利益。三人组的表现确实超过了他们最好的个人成员和二人组,然而,他们并没有超过三人组中最好的二人组。此外,在性能的相似性显着预测的集体利益为二人组和三合会。此外,我们发现,二人组和三人组的搜索性能密切匹配的模拟性能的基础上的个人搜索性能,假设一个群体的成员独立行动。总体而言,本研究支持这样的观点:表现相似性可以预测联合任务中的集体利益。此外,它提供了一个基础,为未来的研究,以探讨在联合视觉搜索任务的合作者之间交换信息的好处。
When humans perform tasks together, they may reach a higher performance in comparison to the best member of a group (i.e., a collective benefit). Earlier research showed that interindividual performance similarities predict collective benefits for several joint tasks. Yet, researchers did not test whether this is the case for joint visuospatial tasks. Also, researchers did not investigate whether dyads and triads reach a collective benefit when they are forbidden to exchange any information while performing a visuospatial task. In this study, participants performed a joint visual search task either alone, in dyads, or in triads, and were not allowed to exchange any information while doing the task. We found that dyads reached a collective benefit. Triads did outperform their best individual member and dyads—yet, they did not outperform the best dyad pairing within the triad. In addition, similarities in performance significantly predicted the collective benefit for dyads and triads. Furthermore, we find that the dyads’ and triads’ search performances closely match a simulated performance based on the individual search performances, which assumed that members of a group act independently. Overall, the present study supports the view that performance similarities predict collective benefits in joint tasks. Moreover, it provides a basis for future studies to investigate the benefits of exchanging information between co-actors in joint visual search tasks.
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