Interaction between intention and environmental constraints on the fractal dynamics of human performance

Washburn, Auriel; Coey, Charles A.; Romero, Veronica; Malone, MaryLauren; Richardson, Michael J.

doi:10.1007/s10339-015-0652-6

Cited by 9 publications

(20 citation statements)

References 20 publications

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“…Fractality is at the same time significantly influenced by the auditory stimuli. Our speculation can be supported by previous studies on the fractal scaling of human behavior outputs, which has been found to be heavily dependent on a balance of voluntary and involuntary sources of control (Van Orden et al, 2003;Kello et al, 2007;Washburn et al, 2015).…”

Section: Effect Of Music and Fractality On Head Swaysupporting

confidence: 82%

“…This suggests that head sway in the SI direction during standstill is closer to uncorrelated random behavior. Lower scaling exponent values closer to white noise limit have been found to be associated with greater intention to counteract environmental constraints (Van Orden et al, 2003;Washburn et al, 2015). In this context, the need for slight postural changes in the form of head nodding might negatively affect α values.…”

Section: Fractal Propertiesmentioning

confidence: 99%

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Analysis of the Movement-Inducing Effects of Music through the Fractality of Head Sway during Standstill

González-Sánchez

Żelechowska

Jensenius

2019

Journal of Motor Behavior

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The links between music and human movement have been shown to provide insight into crucial aspects of human's perception, cognition, and sensorimotor systems. In this study, we examined the influence of music on movement during standstill by analyzing head sway fractality, with the aim of further characterizing the correspondences between movement, music, and cognition. Eighty seven participants were asked to stand as still as possible for 500 seconds while being presented with alternating silence and musical stimuli. The auditory stimuli were all rhythmic in nature, ranging from a metronome track to complex electronic dance music. The head position of each participant was captured with an optical motion capture system. Long-range correlations of head movement were estimated by detrended fluctuation analysis (DFA). The results support findings from previous work on the movement-inducing effect of music, showing significantly greater head sway and lower head sway fractality during the music stimuli. In addition, the patterns across stimuli suggest that there is a two-way adaptation process, with the music stimuli influencing head sway while at the same time fractality modulated movement responses. The results indicate that fluctuations in head movement in both conditions exhibit long-range correlations, suggesting that the effects of music on head movement depended not only on the value of the most recent measured intervals, but also on the values of those intervals at distant times.

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Section: Effect Of Music and Fractality On Head Swaysupporting

confidence: 82%

Section: Fractal Propertiesmentioning

confidence: 99%

Analysis of the Movement-Inducing Effects of Music through the Fractality of Head Sway during Standstill

González-Sánchez

Żelechowska

Jensenius

2019

Journal of Motor Behavior

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“…These results could reflect the regularity and repetitiveness of the motion or movements produced during walking and, in contrast, the varied spontaneity of behaviour (and thus motion) during the free-form activities. These results support the idea that the structure of behavioural fluctuations varies with task or environmental constraints, which has only been demonstrated previously using various simple experimental motor tasks 14,23,24 . The results also reveal how participants' mean magnitude of acceleration (i.e., ACC mean ) was modulated by changes in activity and task goal.…”

Section: Discussionsupporting

confidence: 91%

“…Importantly, the degree to which human behavioural variability is non-random or self-similar is assumed to reflect the complexity or nested interdependence of the sensorimotor, cognitive, social and environmental processes that define a given task context 11 . Consistent with this assumption, there is now a growing body of research demonstrating how the structure of behavioural fluctuations varies across different experimental manipulations and tasks constraints 10,12,14,[19][20][21][22] . For instance, Dotov, Bardy, & Dalla Bella 19 investigated the effects of environmental constraints on walking dynamics using the α exponent from participants' time series of stride durations.…”

Section: The Structure Of Behavioural Variabilitymentioning

confidence: 99%

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

Self Cite

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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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“…In interaction-dominant systems, components cannot be isolated to determine exactly what their contribution to the system's behaviour is. The measured behaviour of an interaction-dominant system is an emergent property of the system itself, as it Breflects the coordination of many componential processes^ [16]. In interactiondominant systems, it is therefore Bdifficult, and often impossible, to assign precise causal roles to particular components.…”

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confidence: 99%

Responsibility and Human Enhancement

Arnaldi

2018

Nanoethics

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Interaction between intention and environmental constraints on the fractal dynamics of human performance

Cited by 9 publications

References 20 publications

Analysis of the Movement-Inducing Effects of Music through the Fractality of Head Sway during Standstill

Analysis of the Movement-Inducing Effects of Music through the Fractality of Head Sway during Standstill

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

Responsibility and Human Enhancement

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