A simple and unified approach to human voluntary movements

In his provocative article, F. Mechsner (2004) advances the thesis that human voluntary movements are subject to "psychological" or "perceptual-cognitive" control and are thus organized "without regard to efferent patterns" (p. 355). Rather than considering in detail the experiments that he proffered by way of support, the present author discusses the degree to which that supposition has appeal on the grounds of simplicity and is defined in terms that are compatible with a unified science.     

A psychological approach to ethics

This article has the purpose of calling attention to C.G. Jung's archetypal concept of the Self as an approach to ethics. The distinction between simple morality and transcendent ethics is established. Comparison is made between the archetype of the Self and Kant's categorical imperative. Freud's superego, however, is assimilated to a natural outlook on morality, such as the notion of altruism in sociobiology. The superego is only the psychic effect of the current moral code—which could be explained either culturally or as a Lamarckian acquired characteristic of the unconscious. Jung's transcendent ethics is expressed in an ethical mandala.     

An account of human voluntary movement must be holistic

The author summarizes and develops the reasons why although perceptual and cognitive processes and abilities are important for functional movement to emerge, F. Mechsner's (2004) proposed perceptual-cognitive account of voluntary movement is likely to be incomplete.     

Directional bias of limb tremor prior to voluntary movement

Taking a cue from recent discoveries of directional bias in microsaccades during visual fixation, we investigated directional bias in tremor during manual pointing. Subjects memorized and then performed patterns of alternating postures and voluntary movements. The directions of the tiny movements occurring during periods of intended stillness were predictive of subsequent target-directed movements such that in the horizontal axis, relative to baseline, the frequency of tremor decreased and the amplitude of tremor increased before horizontal movements, but not before vertical movements. This effect was less pronounced in the finger than in the arm, forearm, and hand. Possible explanations of the effect are based on eye-limb coupling, decreasing stiffness in the axis of forthcoming movement, and release of inhibition. The discovery of directionally specific preparatory activity suggests that the simple task of holding still before moving may provide a new window into the processes that allow for the translation of intentions into actions.     

A neural network approach to movement pattern analysis

Movements are time-dependent processes and so can be modelled by time-series of coordinates: E.g., each articulation has geometric coordinates; the set of the coordinates of the relevant articulations build a high-dimensional configuration. These configurations--or "patterns"--give reason for analysing movements by means of neural networks: The Kohonen Feature Map (KFM) is a special type of neural network, which (after having been coined by training with appropriate pattern samples) is able to recognize single patterns as members of pattern clusters. This way, for example, the particular configurations of a given movement can be identified as belonging to respective configuration clusters, where the sequence of clusters to which the time-depending configurations belong, characterizes the process as a 2-dimensional trajectory. The advantages of this method are that: the high dimensionality of the original processes is reduced to two dimensional trajectories, the clusters are automatically determined by the network, and all data for further analyses can automatically be transferred into a data base. Thus, the processes can either be visualized and analysed by an expert or again processed by further automatic analysing tools, as has been done with similarity matrices. The disadvantage is that a KFM-training needs a huge amount of information, which normally is not available from experiments. However, the Dynamically Controlled Network DyCoN (a special type of KFM) makes it possible to reduce the amount of original training data substantially--e.g., by adding stochastically generated ones. Currently, DyCoN is used in several projects in order to generally support analyses of processes in sport. It should be emphasized that the presented approach is not meant to improve the understanding or to develop models of human movement but to give a survey of the advantages and methodological aspects of net-based movement analysis.     

A constructive neural-network approach to modeling psychological development

This article reviews a particular computational modeling approach to the study of psychological development – that of constructive neural networks. This approach is applied to a variety of developmental domains and issues, including Piagetian tasks, shift learning, language acquisition, number comparison, habituation of visual attention, concept learning, and theory of mind. Implications of this modeling for theoretical understanding of psychological development are considered.     

A dynamic approach to psychological strength development and intervention

Many practitioners working with clients from a strengths perspective largely rely on ad hoc interventions and employ a simplistic ‘identify and use’ approach. In this article, we suggest that clients can extract greater benefits when practitioners adopt more sophisticated approaches to strengths intervention. We introduce an alternative approach that we call ‘strengths development’. This approach is distinguished by the view that strengths are not fixed traits across settings and time (the dominant, contemporary approach to personality). Instead, we adopt dynamic, within-person approaches from personality science to research, assessment, and interventions on strengths. Specifically, strengths are highly contextual phenomena that emerge in distinctive patterns alongside particular goals, interests, values, and situational factors. Strengths are potentials for excellence that can be cultivated through enhanced awareness, accessibility, and effort. Finally, we outline potential psychological risks associated with the strengths perspective that are worthy of explicit discussion with clients.     

Hemispheric differences in the voluntary inhibition of movement

Twenty normal, twenty left-, and fifteen right-brain injured subjects, all right-handed, were assigned a sequence of voluntary inhibition of 23 movements. The inhibition lapse was recorded. Statistical analyses indicated a high performance in the normal and a deficient performance in left-brain injured subjects, no influence of the neurological symptoms on groups' achievement, a handicap in the subjects affected by a frontal lesion in the right brain, a hierarchical clustering of items varying according to the groups, and an organ-group interaction.     

A social psychological approach to internally based change in the schools

An analysis of current models of delivering preventive psychological and educational services in schools is presented. It is argued that both traditional school psychologists and university-affiliated psychologists are restricted from influencing change process in schools. An alternative approach to psychoeducational change is developed whose fundamental feature involves the engagement of internally responsible socioeducational specialists by schools. Several issues bearing upon the viability of the proposed role are discussed based upon the author's experiences in pursuing the suggested interventions.     

A social psychological approach to driving violations in two Chinese cities

A questionnaire study conducted in two Chinese cities investigated the determinants of the respondents’ aberrant driving behaviours. The Chinese Driving Questionnaire (CDQ) was developed and a version of the Manchester Driver Behaviour Questionnaire (DBQ) containing an extended set of driving violations particularly relevant in China was also included. Factor analysis of the DBQ revealed four factors with Alpha values over .60, two of them violations and the other two lapses and errors. Factor analysis of the CDQ items also revealed four factors with Alpha values over .60, namely the sense of social hierarchy, potential road safety countermeasure, belief in interpersonal network, and challenging legitimate authority. The result of a correlation analysis of the DBQ and CDQ scales showed that while the two violation scales were significantly and positively correlated with the social hierarchy and interpersonal network scale, the two lapse and error scales basically were not. When the DBQ scales were regressed on demographic variables and CDQ scales, the results of the hierarchical regressions showed that the prediction of self-reported driving violations had been significantly improved by the addition of culture relevant factors measured in the CDQ, while there was no major change in the prediction of lapses and errors. Logistic regression analysis showed that aggressive violations made a significant contribution to traffic accident involvement, independent of the demographic variables. The present study also identified some potential road safety countermeasures, and suggested young female drivers, and drivers at their early thirties should be especially targeted in road safety campaign.     

Common functional principal components analysis: a new approach to analyzing human movement data

In many human movement studies angle-time series data on several groups of individuals are measured. Current methods to compare groups include comparisons of the mean value in each group or use multivariate techniques such as principal components analysis and perform tests on the principal component scores. Such methods have been useful, though discard a large amount of information. Functional data analysis (FDA) is an emerging statistical analysis technique in human movement research which treats the angle-time series data as a function rather than a series of discrete measurements. This approach retains all of the information in the data. Functional principal components analysis (FPCA) is an extension of multivariate principal components analysis which examines the variability of a sample of curves and has been used to examine differences in movement patterns of several groups of individuals. Currently the functional principal components (FPCs) for each group are either determined separately (yielding components that are group-specific), or by combining the data for all groups and determining the FPCs of the combined data (yielding components that summarize the entire data set). The group-specific FPCs contain both within and between group variation and issues arise when comparing FPCs across groups when the order of the FPCs alter in each group. The FPCs of the combined data may not adequately describe all groups of individuals and comparisons between groups typically use t-tests of the mean FPC scores in each group. When these differences are statistically non-significant it can be difficult to determine how a particular intervention is affecting movement patterns or how injured subjects differ from controls. In this paper we aim to perform FPCA in a manner allowing sensible comparisons between groups of curves. A statistical technique called common functional principal components analysis (CFPCA) is implemented. CFPCA identifies the common sources of variation evident across groups but allows the order of each component to change for a particular group. This allows for the direct comparison of components across groups. We use our method to analyze a biomechanical data set examining the mechanisms of chronic Achilles tendon injury and the functional effects of orthoses.     

A structure-based approach to psychological assessment: matching measurement models to latent structure

The present article sets forth the argument that psychological assessment should be based on a construct's latent structure. The authors differentiate dimensional (continuous) and taxonic (categorical) structures at the latentand manifest levels and describe the advantages of matching the assessment approach to the latent structure of a construct. A proper match will decrease measurement error, increase statistical power, clarify statistical relationships, and facilitate the location of an efficient cutting score when applicable. Thus, individuals will be placed along a continuum or assigned to classes more accurately. The authors briefly review the methods by which latent structure can be determined and outline a structure-based approach to assessment that builds on dimensional scaling models, such as item response theory, while incorporating classification methods as appropriate. Finally, the authors empirically demonstrate the utility of their approach and discuss its compatibility with traditional assessment methods and with computerized adaptive testing.     

Chronometric analysis of the posturo-kinetic programming of voluntary movement

Posturo-kinetic programming was investigated in a simple reaction time paradigm. Standing subjects performed voluntary upper limb elevations under three conditions differing by the importance of their destabilizing effect on the initial balance. Three indexes were considered: the reaction time (RT) corresponding to delay between the response signal (RS) and the onset of the upper limb acceleration at wrist level (Aw); the motor latency (ML) corresponding to delay between RS and onset of the earlier of the two accelerations at shank level (As) which was previously shown to indicate the onset of postural adjustments; and the postural anticipation (PA) corresponding to the delay between the onset of the earliest As and the onset of Aw. The results showed that the RT varied in relation to parameters of the forthcoming movement. RT variations were essentially due to differences in the PA. It appeared that the ML depended on cognitive factors while the PA depended on biomechanical ones. it is concluded that ML corresponds to the "true" reaction time while PA covers the earliest part of the motor response.     

Language and persuasion: A discursive psychological approach

Across the social sciences, there is a wealth of research on the role of language in persuasion in interpersonal communication. Most of these studies have been conducted in laboratories using experimental methods, have taken a social cognitive perspective, and have focused on the effects of particular linguistic practices on how persuasive messages are understood, processed, and ultimately complied with. By contrast, less attention has been paid to how language can be used to create sequential, interactional, and social obligations, in everyday interactions, like sales encounters or business negotiations, where persuasion occurs naturally and is built into the fabric of the conversation. In reviewing the former approach to studying language and persuasion, in this paper, I highlight several critical shortcomings. Then, I argue that, when studying naturally occurring persuasion-in-interaction, a discursive psychological approach is better suited for investigating and theorising the interactional structures underpinning persuasion and the role of language therein.