ArticlePloS one2018
Performance similarities predict collective benefits in dyadic and triadic joint visual search.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- What Makes Joint Visual Search Efficient? A Distractor Suppression Account.Behavioral sciences (Basel, Switzerland) · 2026Article
- Predicting group benefits in joint multiple object tracking : Predicting group benefits.Attention, perception & psychophysics · 2023Article
- Labor division in collaborative visual search: a review.Psychological research · 2023Review
- Multivariate model for cooperation: bridging social physiological compliance and hyperscanning.Social cognitive and affective neuroscience · 2021Article
- Hyperscanning: A Valid Method to Study Neural Inter-brain Underpinnings of Social Interaction.Frontiers in human neuroscience · 2020Review
- The Social Situation Affects How We Process Feedback About Our Actions.Frontiers in psychology · 2019Article
- Let's Move It Together: A Review of Group Benefits in Joint Object Control.Frontiers in psychology · 2018Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.