Evaluating the Dynamics of Unintended Interpersonal Coordination

Schmidt, R. C.; O’Brien, Beth A.

doi:10.1207/s15326969eco0903_2

Cited by 295 publications

(323 citation statements)

References 11 publications

Supporting

Mentioning

296

Contrasting

Unclassified

Order By: Relevance

“…We note again that our results may be distinguished from previous dyadic studies in which one participant was explicitly instructed to track (or drive) the other (e.g. de Rugy et al, 2006;Oullier et al, 2003;Schmidt et al, 1990;Temprado et al, 2003) or to resist the mutual influence each member of the dyad exerted on the other (Schmidt & O'Brien, 1997).…”

Section: Interpersonal Coordination Patterncontrasting

confidence: 66%

See 1 more Smart Citation

Social coordination dynamics: Measuring human bonding

Oullier¹,

Guzman²,

Jantzen³

et al. 2008

Social Neuroscience

322

282

View full text Add to dashboard Cite

Spontaneous social coordination has been extensively described in natural settings but so far no controlled methodological approaches have been employed that systematically advance investigations into the possible self-organized nature of bond formation and dissolution between humans. We hypothesized that, under certain contexts, spontaneous synchrony -a well-described phenomenon in biological and physical settings-could emerge spontaneously between humans as a result of information exchange. Here, a new way to quantify interpersonal interactions in real time is proposed. In a simple experimental paradigm, pairs of participants facing each other were required to actively produce actions, while provided (or not) with the vision of similar actions being performed by someone else. New indices of interpersonal coordination, inspired by the theoretical framework of coordination dynamics (based on relative phase and frequency overlap between movements of individuals forming a pair) were developed and used. Results revealed that spontaneous phase synchrony (i.e., unintentional in-phase coordinated behavior) between two people emerges as soon as they exchange visual information, even if they are not explicitly instructed to coordinate with each other. Using the same tools, we also quantified the degree to which the behavior of each individual remained influenced by the social encounter even after information exchange had been removed, apparently a kind of social memory.

show abstract

Section: Interpersonal Coordination Patterncontrasting

confidence: 66%

“…Previous work (e.g. Schmidt & O'Brien, 1997) hinted at the emergence of spontaneous motor coordination between individuals but the authors explicitly instructed each member of the dyad to try and maintain their own rhythm (i.e. resist the interpersonal influence).…”

Section: Introductionmentioning

confidence: 99%

Social coordination dynamics: Measuring human bonding

Oullier¹,

Guzman²,

Jantzen³

et al. 2008

Social Neuroscience

322

282

View full text Add to dashboard Cite

show abstract

“…Work on unintentional synchrony interpreted within a dynamical systems account suggests that the emergence of a coupled oscillator dynamic relies on visual information (Richardson et al, 2005;Schmidt & O'Brian, 1997). It remains to be seen whether interpersonal effects that result from the way task instructions are implemented can also be accounted for by dynamical systems principles.…”

Section: Discussionmentioning

confidence: 99%

How Two Share a Task: Corepresenting Stimulus-Response Mappings.

Sebanz¹,

Knoblich²,

Prinz³

2005

Journal of Experimental Psychology: Human Perception and Perfor

248

236

View full text Add to dashboard Cite

Previous research has shown that individuals unintentionally adjust their behavior to others by mimicking others' actions and by synchronizing their actions with others. This study investigated whether individuals form a representation of a coactor's task when the context does not require interpersonal coordination. Pairs of participants performed a reaction time (RT) task alongside each other, responding to 2 different dimensions of the same stimulus. Results showed that each actor's performance was influenced by the other's task. RTs on trials that required a response from both participants were slowed compared with trials that required only a response from 1 actor. Similar results were observed when each participant knew the other's task but could not observe the other's actions. These findings provide evidence that shared task representations are formed in social settings that do not require interpersonal coordination and emerge as a consequence of how a social situation is conceptualized.

show abstract

“…While participants had to swing hand-held pendulums, Schmidt and O'Brien [1997] show the emergence of unintended coordination in a laboratory task. It is argued that the same mechanisms of dynamical self-organization as observed in intrapersonal coordination apply.…”

Section: Modeling Rhythmic Movement Coordinationmentioning

confidence: 99%

Modeling inter-human movement coordination: synchronization governs joint task dynamics

et al. 2012

View full text Add to dashboard Cite

Human interaction partners tend to synchronize their movements during repetitive actions such as walking. Research of inter-human coordination in purely rhythmic action tasks reveals that the observed patterns of interaction are dominated by synchronization effects. Initiated by our finding that human dyads synchronize their arm movements even in a goal-directed action task, we present a step-wise approach to a model of inter-human movement coordination. In an experiment, the hand trajectories of ten human dyads are recorded. Governed by a dynamical process of phase synchronization, the participants establish in-phase as well as anti-phase relations. The emerging relations are successfully reproduced by the attractor dynamics of coupled phase oscillators inspired by the Kuramoto model. Three different methods on transforming the motion trajectories into instantaneous phases are investigated and their influence on the model fit to the experimental data is evaluated. System identification technique allows us to estimate the model parameters, which are the coupling strength and the frequency detuning among the dyad. The stability properties of the identified model match the relations observed in the experimental data. In short, our model predicts the dynamics of inter-human movement coordination. It can directly be implemented to enrich human-robot interaction.

show abstract

Evaluating the Dynamics of Unintended Interpersonal Coordination

Cited by 295 publications

References 11 publications

Social coordination dynamics: Measuring human bonding

Social coordination dynamics: Measuring human bonding

How Two Share a Task: Corepresenting Stimulus-Response Mappings.

Modeling inter-human movement coordination: synchronization governs joint task dynamics

Contact Info

Product

Resources

About