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

Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2018050217070
Open Access logo originally created by the Public Library of Science (PLoS)
Langanzeige der Metadaten
DC ElementWertSprache
dc.creatorWahn, Basil-
dc.creatorCzeszumski, Artur-
dc.creatorKönig, Peter-
dc.date.accessioned2018-05-02T09:19:26Z-
dc.date.available2018-05-02T09:19:26Z-
dc.date.issued2018-05-02T09:19:26Z-
dc.identifier.citationWhen 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.-
dc.identifier.urihttps://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2018050217070-
dc.description.abstractWhen 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.eng
dc.relationhttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0191179-
dc.rightsNamensnennung 4.0 International-
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectvisuospatial taskseng
dc.subjectjoint visual search taskseng
dc.subjectperformanceeng
dc.subjectdyadeng
dc.subjecttriadeng
dc.subject.ddc150 - Psychologie-
dc.titlePerformance similarities predict collective benefits in dyadic and triadic joint visual searcheng
dc.typeEinzelbeitrag in einer wissenschaftlichen Zeitschrift [article]ger
dc.identifier.doi10.1371/journal.pone.0191179-
vCard.ORGFB8-
Enthalten in den Sammlungen:FB08 - Hochschulschriften
Open-Access-Publikationsfonds

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
journal_pone_13_1_2017_Wahn.pdf5,96 MBAdobe PDF
journal_pone_13_1_2017_Wahn.pdf
Miniaturbild
Öffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons