Complexity matching effects in bimanual and interpersonal syncopated finger tapping

Coey, Charles A.; Washburn, Auriel; Hassebrock, Justin A.; Richardson, Michael J.

doi:10.1016/j.neulet.2016.01.066

Cited by 36 publications

(47 citation statements)

References 46 publications

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“…It therefore seems to measure a more general alignment of activity that is independent of subjective impression and objective performance of mutual recognition. This notion is compatible with the results presented by Coey et al (2016), that posit complexity matching as a more general rather than specific behavioral marker.…”

Section: Discussionsupporting

confidence: 92%

“…This activity is embedded inside a single communication dimension (acoustic pressure wave in the conversation and lateral excursion of the pointer in the perceptual crossing setup). Furthermore, the paradigms for studying complexity-matching in conversational styles (Abney et al, 2014; Coey et al, 2016) and the present perceptual crossing study contain important similarities in terms of the abstract description of their task spaces.…”

Section: Discussionmentioning

confidence: 99%

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Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties

et al. 2016

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There is a growing consensus that a fuller understanding of social cognition depends on more systematic studies of real-time social interaction. Such studies require methods that can deal with the complex dynamics taking place at multiple interdependent temporal and spatial scales, spanning sub-personal, personal, and dyadic levels of analysis. We demonstrate the value of adopting an extended multi-scale approach by re-analyzing movement time-series generated in a study of embodied dyadic interaction in a minimal virtual reality environment (a perceptual crossing experiment). Reduced movement variability revealed an interdependence between social awareness and social coordination that cannot be accounted for by either subjective or objective factors alone: it picks out interactions in which subjective and objective conditions are convergent (i.e., elevated coordination is perceived as clearly social, and impaired coordination is perceived as socially ambiguous). This finding is consistent with the claim that interpersonal interaction can be partially constitutive of direct social perception. Clustering statistics (Allan Factor) of salient events revealed fractal scaling. Complexity matching defined as the similarity between these scaling laws was significantly more pronounced in pairs of participants as compared to surrogate dyads. This further highlights the multi-scale and distributed character of social interaction and extends previous complexity matching results from dyadic conversation to non-verbal social interaction dynamics. Trials with successful joint interaction were also associated with an increase in local coordination. Consequently, a local coordination pattern emerges on the background of complex dyadic interactions in the PCE task and makes joint successful performance possible.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties

et al. 2016

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“…Evidence that complexity matching can occur during social interaction was first discovered in interpersonal rhythmic-limb coordination, where members of a dyad were found to exhibit similar (correlated) structures of variability independent of the stability of the rhythmic coordination observed 55 . Similarly, forms of complexity matching have been observed in interpersonal tapping tasks in which dyads are engaged in tapping with one another 56 . Complexity matching has even been shown in two participants' stride durations while engaging in side-by-side walking and arm-in-arm walking, where the correlations between participants' mono and multifractal spectra were shown to converge to a high degree for both forms of interpersonal walking 57 .…”

Section: The Structure Of Behavioural Variabilitymentioning

confidence: 76%

Co-actors Exhibit Similarity in Their Structure of Behavioural Variation That Remains Stable Across Range of Naturalistic Activities

Rigoli

Lorenz

Coey

et al. 2020

Sci Rep

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Human behaviour, along with any natural/biological behaviour, has varying degrees of intrinsic 'noise' or variability. Many studies have shown that the structure or patterning of this variability is sensitive to changes in task and constraint. Furthermore, two or more humans interacting together often begin to exhibit similar structures of behavioural variability (i.e., the patterning of their behavioural fluctuations becomes aligned or matched) independent of any moment-to-moment synchronization (termed complexity matching). However, much of the previous work has focused on a subset of simple or contrived behaviours within the context of highly controlled laboratory tasks. In the current study, individuals and pairs performed five self-paced (unsupervised), semi-structured activities around a university campus. Empatica E4 wristbands and iPhones were used to record the participants' behavioural activity via accelerometers and GpS. the results revealed that the structure of variability in naturalistic human behaviour co-varies with the task-goal constraints, and that the patterning of the behavioural fluctuations exhibited by co-acting individuals does become aligned during the performance of everyday activities. The results also revealed that the degree of complexity matching that occurred between pairs remained invariant across activity type, indicating that this measure could be employed as a robust, task-independent index of interpersonal behaviour. When measuring any human movement or behaviour over time, the resulting measurements always contain various magnitudes of natural variability. This is true whether one considers an individual's reaction times to repeated environmental stimuli 1 , the spatial accuracy of an individual when hitting a nail with a hammer 2,3 , or an individual's stride length when walking or running 4,5. Even an individual's head and postural position while sitting or standing still fluctuates over time 6. Traditionally, such behavioural variation was assumed to be random or non-functional sensorimotor or measurement 'noise' 7-9. However, there is now a growing body of research demonstrating that the behavioural fluctuations that occur during natural human activity are typically correlated over time (i.e., exhibit varying degrees of self-similarity and non-randomness) 1,10-13. Of particular relevance here, is that research exploring the patterning of human behavioural variability has demonstrated how the structure of such variation is sensitive to changes in task and environmental constraint, with some patterns of behavioural variance being more or less random than others 11,12,14. Recent research suggests that the patterning of co-actors' behavioural variability can also become aligned or 'matched' together during task performance, even when the movements or actions of the co-actors are not locally synchronized or coordinated. This latter phenomenon has been termed complexity matching and implies that the behavioural actions and movements of co-acting individuals can become entrained...

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“…Participants in both (non-independent) conditions showed high levels of complexity matching, whereby arm-in-arm walking led to slightly higher levels of complexity matching than walking side-by-side. With regard to manual coordination between participants, fractal hand movements, and a larger magnitude of hand movement's variation, leads to stronger complexity matching between a leader and a follower than random hand movements (Coey et al, 2016). In addition, complexity matching is stronger when participants coordinate movements of both their hands, than when they coordinate the movements of one of their hands to those of a partner (Coey et al, 2018).…”

Section: When Does Complexity Matching Occur?mentioning

confidence: 98%

Easier said than done? Task difficulty’s influence on temporal alignment, semantic similarity, and complexity matching between gestures and speech

Jonge-Hoekstra¹,

Cox²,

Steen³

et al. 2020

Preprint

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Gestures and speech are clearly synchronized in many ways. However, previous studies have shown the semantic similarity between gestures and speech breaks down as people approach transitions in understanding. Explanations for these gesture-speech mismatches which focus on gestures and speech expressing different cognitive strategies, have been criticized for disregarding gestures’ and speech’s integration and synchronization. In the current study, we applied three different perspectives to investigate gesture-speech synchronization in an easy and a difficult task: temporal alignment, semantic similarity, and complexity matching. Participants engaged in a simple cognitive task, and were assigned to either an easy or a difficult condition. We automatically measured pointing gestures, and we coded participant’s speech, to determine the temporal alignment and semantic similarity between gestures and speech. Multifractal Detrended Fluctuation Analysis (MFDFA) was used to determine the extent of complexity matching between gestures and speech. We found that task difficulty indeed influenced gesture-speech synchronization in all three domains. We thereby extended the phenomenon of gesture-speech mismatches to difficult tasks in general. Furthermore, we investigated how temporal alignment, semantic similarity, and complexity matching were related in each condition, and how they predicted participants’ task performance. Our study illustrates how combining multiple perspectives, originating from different research areas (i.e., coordination dynamics, complexity science, cognitive psychology) provides novel understanding about cognitive concepts in general, and about gesture-speech synchronization and task difficulty in specific.

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Complexity matching effects in bimanual and interpersonal syncopated finger tapping

Cited by 36 publications

References 46 publications

Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties

Time-Series Analysis of Embodied Interaction: Movement Variability and Complexity Matching As Dyadic Properties

Co-actors Exhibit Similarity in Their Structure of Behavioural Variation That Remains Stable Across Range of Naturalistic Activities

Easier said than done? Task difficulty’s influence on temporal alignment, semantic similarity, and complexity matching between gestures and speech

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