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

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Performance similarities predict collective benefits in dyadic and triadic joint visual search. / Wahn, Basil; Czeszumski, Artur; König, Peter.

in: PLOS ONE, Jahrgang 13, Nr. 1, 2018, S. e0191179.

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@article{2843a1d03f6443e781f6346f2f33cc2d,
title = "Performance similarities predict collective benefits in dyadic and triadic joint visual search",
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.",
keywords = "Adult, Computer Simulation, Cooperative Behavior, Decision Making, Female, Group Processes, Humans, Male, Models, Psychological, Task Performance and Analysis, Visual Perception, Young Adult, Journal Article, Research Support, Non-U.S. Gov't",
author = "Basil Wahn and Artur Czeszumski and Peter K{\"o}nig",
year = "2018",
doi = "10.1371/journal.pone.0191179",
language = "English",
volume = "13",
pages = "e0191179",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "1",

}

RIS

TY - JOUR

T1 - Performance similarities predict collective benefits in dyadic and triadic joint visual search

AU - Wahn, Basil

AU - Czeszumski, Artur

AU - König, Peter

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Adult

KW - Computer Simulation

KW - Cooperative Behavior

KW - Decision Making

KW - Female

KW - Group Processes

KW - Humans

KW - Male

KW - Models, Psychological

KW - Task Performance and Analysis

KW - Visual Perception

KW - Young Adult

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

U2 - 10.1371/journal.pone.0191179

DO - 10.1371/journal.pone.0191179

M3 - SCORING: Journal article

C2 - 29329331

VL - 13

SP - e0191179

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 1

ER -