ArticleCurrent directions in psychological science2025
Interdependent minds: Quantifying the dynamics of successful social interaction.
Article in Current directions in psychological science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Social Physiology: Human homeostasis is more efficient in social proximity.Science advances · 2026Article
- Mutual positive engagement with mother is uniquely associated with increases in human infant heart rate variability.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Article
- Finding agreement: Functional magnetic resonance imaging hyperscanning reveals that mental state space exploration facilitates opinion alignment.Journal of personality and social psychology · 2026Article
- Cross-recurrence quantification analysis captures inter-brain coupling during naturalistic negotiation: a new dynamic approach for hyperscanning.Frontiers in neuroscience · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Social interactions are a ubiquitous part of human life. They are also complex and dynamic, posing a challenge for traditional psychology methods. This paper provides an overview of a dynamical systems approach to the study of social interactions that manages this complexity and enables the quantification of interdependence between people. We also discuss key empirical findings that demonstrate how different forms of interdependence and interaction dynamics shape social outcomes. Finally, we highlight the utility of this approach for advancing theories of social behavior and practical application. By adopting this dynamical systems approach, researchers can gain a deeper understanding of the patterns underlying social interactions and test hypotheses about the mechanisms driving human connection and coordination.
Identifiers
What OpenQuestion holds
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.