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- Genre: Academic theses
Description
The current paper presents two studies that examine how asymmetries during interpersonal coordination are compensated for. It was predicted that destabilizing effects of asymmetries are stabilized through the recruitment and suppression of motor degrees-of-freedom (df). Experiment 1 examined this effect by having participants coordinate line movements of different orientations. Greater differences in asymmetries between participants yielded greater spatial deviation, resulting in the recruitment of df. Experiment 2 examined whether coordination of movements asymmetrical in shape (circle and line) yield simultaneous recruitment and suppression of df. This experiment also tested whether the initial stability of the performed movement alters the amount of change in df. Results showed that changes in df were exhibited as circles decreasing in circularity and lines increasing in circularity. Further, more changes in df were found circular (suppression) compared to line (recruitment) movements.
ContributorsFine, Justin (Author) / Amazeen, Eric L (Thesis advisor) / Amazeen, Polemnia G (Committee member) / Brewer, Gene A. (Committee member) / Arizona State University (Publisher)
Created2013
Description
The human body is a complex system comprised of many parts that can coordinate in a variety of ways to produce controlled action. This creates a challenge for researchers and clinicians in the treatment of variability in motor control. The current study aims at testing the utility of a nonlinear analysis measure – the Largest Lyapunov exponent (1) – in a whole body movement. Experiment 1 examined this measure, in comparison to traditional linear measure (standard deviation), by having participants perform a sit-to-stand (STS) task on platforms that were either stable or unstable. Results supported the notion that the Lyapunov measure characterized controlled/stable movement across the body more accurately than the traditional standard deviation (SD) measure. Experiment 2 tested this analysis further by presenting participants with an auditory perturbation during performance of the same STS task. Results showed that both the Lyapunov and SD measures failed to detect the perturbation. However, the auditory perturbation may not have been an appropriate perturbation. Limitations of Experiment 2 are discussed, as well as directions for future study.
ContributorsGibbons, Cameron T (Author) / Amazeen, Polemnia G (Thesis advisor) / Amazeen, Eric (Committee member) / Brewer, Gene (Committee member) / Arizona State University (Publisher)
Created2016
Description
Perceived heaviness of lifted objects has been shown to scale to a ratio of muscle activity and movement during elbow lifts. This scaling reflects the importance of the forces applied to an object and the resulting kinematics for this perception. The current study determined whether these perceived heaviness dynamics are similar in other lifting conditions. Anatomically sourced context-conditioned variability has implications for motor control. The current study investigated whether these implications also hold for heaviness perception. In two experiments participants lifted objects with knee extension lifts and with several arm lifts and reported perceived heaviness. The resulting psychophysiological functions revealed the hypothesized muscle activity and movement ratio in both leg and arms lifts. Further, principal component regressions showed that the forearm flexors and corresponding joint angular accelerations were most relevant for perceived heaviness during arm lifts. Perceived heaviness dynamics are similar in the arms and legs.
ContributorsWaddell, Morgan (Author) / Amazeen, Eric L (Thesis advisor) / Amazeen, Polemnia G (Committee member) / Brewer, Gene A. (Committee member) / Arizona State University (Publisher)
Created2016
Description
For many years now, researchers have documented evidence of fractal scaling in psychological time series. Explanations of fractal scaling have come from many sources but those that have gained the most traction in the literature are theories that suggest fractal scaling originates from the interactions among the multiple scales that make up behavior. Those theories, originating in the study of dynamical systems, suffer from the limitation that fractal analysis reveals only indirect evidence of multiscale interactions. Multiscale interactions must be demonstrated directly because there are many means to generate fractal properties. In two experiments, participants performed a pursuit tracking task while I recorded multiple behavioral and physiological time series. A new analytical technique, multiscale lagged regression, was introduced to capture how those many psychological time series coordinate across multiple scales and time. The results were surprising in that coordination among psychological time series tends to be oscillatory in nature, even when the series are not oscillatory themselves. Those and other results demonstrate the existence of multiscale interactions in psychological systems.
ContributorsLikens, Aaron D (Author) / Amazeen, Polemnia G (Thesis advisor) / Amazeen, Eric L (Committee member) / Cooke, Nancy L (Committee member) / Glenberg, Arthur M. (Committee member) / Arizona State University (Publisher)
Created2016
Description
Psychological theories often reduce descriptions of people’s emotional experiences to a small number of underlying dimensions that capture most of the variation in their responses. These underlying dimensions are typically uncovered by comparing the self-reported emotions of many individuals at one specific time point, to infer a single underlying structure of emotion for all people. However, theoretical work suggests that underlying dimensions uncovered in this way may not hold when modeling how people change over time. Individuals may differ not just in their typical score on a given dimension of emotion, but in what dimensions best characterize their patterns of emotional experience over time. In this study, participants described two emotional events per day for 35 days, and analyses compared individualized structures of emotion to those generated from many people at one point in time. Analyses using R-technique factor analysis, which compares many people at one time point, most often uncovered a two-factor solution corresponding to positivity and negativity dimensions - a solution well-established in the literature. However, analyses using P-technique factor analysis, which compares many emotional events for one person, uncovered a broader diversity of underlying dimensions. Individuals needed anywhere from one to five factors to best capture their self-reported emotions. Further, dimensions specifically related to romantic relationships were much more common when examining the experiences of individuals over time. This suggests that external factors, such as pursuing or being in a romantic relationship, might lead to a qualitative shift in how emotions are experienced. Research attempting to characterize emotion dynamics, including those attempting to help people shift or regulate their emotions, cannot assume that typical two dimensional structures of emotional experience apply to all people. Instead we must account for how individuals describe their own emotional experiences.
ContributorsDanvers, Alexander F (Author) / Shiota, Michelle N. (Thesis advisor) / Kenrick, Douglas T. (Committee member) / Neuberg, Steven L. (Committee member) / Amazeen, Polemnia G (Committee member) / Arizona State University (Publisher)
Created2017
Description
Motor-respiratory coordination is the synchronization of movement and breathing during exercise. The relation between movement and breathing can be described using relative phase, a measure of the location in the movement cycle relative to the location in the breathing cycle. Stability in that relative phase relation has been identified as important for aerobic efficiency. However, performance can be overly attracted to stable relative phases, preventing the performance or learning of more complex patterns. Little research exists on relative phase dynamics in motor-respiratory coordination, although those observations underscore the importance of learning more. In contrast, there is an extensive literature on relative phase dynamics in interlimb coordination. The accuracy and stability of different relative phases, transitions between patterns, and asymmetries between components are well understood. Theoretically, motor-respiratory and interlimb coordination may share dynamical properties that operate in their different physiological substrates. An existing model of relative phase dynamics in interlimb coordination, the Haken, Kelso, Bunz model, was used to gain an understanding of relative phase dynamics in the less-researched motor-respiratory coordination. Experiments 1 and 2 were designed to examine the interaction of frequency asymmetries between movement and breathing with relative phase and frequency, respectively. In Experiment 3, relative phase stability and transitions in motor-respiratory coordination were explored. Perceptual constraints on differences in stability were investigated in Experiment 4. Across experiments, contributions relevant to questions of coordinative variability were made using a dynamical method called cross recurrence quantification analysis. Results showed much consistency with predictions from an asymmetric extension of the Haken, Kelso, Bunz model and theoretical interpretation in the interlimb coordination literature, including phase wandering, intermittency, and an interdependence of perception and action. There were, however, notable exceptions that indicated stability can decrease with more natural frequency asymmetries and the connection of cross recurrence measures to categories of variability needs further clarification. The complex relative phase dynamics displayed in this study suggest that movement and breathing are softly-assembled by functional constraints and indicate that motor-respiratory coordination is a self-organized system.
ContributorsHessler, Eric Edward (Author) / Amazeen, Polemnia G (Thesis advisor) / Amazeen, Eric L (Committee member) / Glenberg, Arthur M. (Committee member) / Gray, Rob (Committee member) / Arizona State University (Publisher)
Created2010
Description
Fractal analyses examine variability in a time series to look for temporal structure
or pattern that reveals the underlying processes of a complex system. Although fractal
property has been found in many signals in biological systems, how it relates to
behavioral performance and what it implies about the complex system under scrutiny are
still open questions. In this series of experiments, fractal property, movement kinematics,
and behavioral performance were measured on participants performing a reciprocal
tapping task. In Experiment 1, the results indicated that the alpha value from detrended
fluctuation analysis (DFA) reflected deteriorating performance when visual feedback
delay was introduced into the reciprocal tapping task. This finding suggests that this
fractal index is sensitive to performance level in a movement task. In Experiment 2, the
sensitivity of DFA alpha to the coupling strength between sub-processes within a system
was examined by manipulation of task space visibility. The results showed that DFA
alpha was not influenced by disruption of subsystems coupling strength. In Experiment 3,
the sensitivity of DFA alpha to the level of adaptivity in a system under constraints was
examined. Manipulation of the level of adaptivity was not successful, leading to
inconclusive results to this question.
or pattern that reveals the underlying processes of a complex system. Although fractal
property has been found in many signals in biological systems, how it relates to
behavioral performance and what it implies about the complex system under scrutiny are
still open questions. In this series of experiments, fractal property, movement kinematics,
and behavioral performance were measured on participants performing a reciprocal
tapping task. In Experiment 1, the results indicated that the alpha value from detrended
fluctuation analysis (DFA) reflected deteriorating performance when visual feedback
delay was introduced into the reciprocal tapping task. This finding suggests that this
fractal index is sensitive to performance level in a movement task. In Experiment 2, the
sensitivity of DFA alpha to the coupling strength between sub-processes within a system
was examined by manipulation of task space visibility. The results showed that DFA
alpha was not influenced by disruption of subsystems coupling strength. In Experiment 3,
the sensitivity of DFA alpha to the level of adaptivity in a system under constraints was
examined. Manipulation of the level of adaptivity was not successful, leading to
inconclusive results to this question.
ContributorsNguyen, Tri, M.A (Author) / Amazeen, Eric L (Thesis advisor) / Glenberg, Arthur M. (Thesis advisor) / Amazeen, Polemnia G (Committee member) / Arizona State University (Publisher)
Created2019