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

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  • Basil Wahn
  • Artur Czeszumski
  • Peter König

Abstract

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.

Suggested Citation

  • Basil Wahn & Artur Czeszumski & Peter König, 2018. "Performance similarities predict collective benefits in dyadic and triadic joint visual search," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-14, January.
  • Handle: RePEc:plo:pone00:0191179
    DOI: 10.1371/journal.pone.0191179
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    References listed on IDEAS

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