Biological motion shown backwards: the apparent-facing effect

We examined how showing a film backwards (reverse transformation) affects the visual perception of biological motion. Adults and 6-year-old children saw first a point-light quadruped moving normally as if on a treadmill, and then saw the same display in reverse transformation. For other groups the order of presentation was the opposite. Irrespective of the presentation mode (normal or reverse) and of the facing of the point-light figure (rightward or leftward), a pronounced apparent-facing effect was observed: the perceptual identification of a display was mainly determined by the apparent direction of locomotion. The findings suggest that in interpreting impoverished point-light biological-motion stimuli the visual system may neglect distortions caused by showing a film backwards. This property appears to be robust across perceptual development. Possible explanations of the apparent-facing effect are discussed.     

Social anxiety and interpersonal perception: a social relations model analysis

Cognitive models of social phobia posit that an individual's negative beliefs about the way he or she is perceived by others (metaperceptions) are a core feature of the disorder. The social relations model () was used to analyze interpersonal perception data collected following unstructured social interactions in 62 socially anxious (SA) and 62 not socially anxious (NSA) individuals. Using this model, the interpersonal perceptions were analyzed to evaluate whether pathological levels of social anxiety are associated with self-perceptions, metaperceptions, and perceptions from others. SA participants saw themselves negatively and believed others saw them negatively. Although seen as more nervous by others, SA participants were not seen as less likeable. A mediational model demonstrated that the negative metaperceptions of SA individuals were more a function of their own self-perceptions than the negative perceptions of others. These findings were not attributable to depressive symptoms. Implications for theory and treatment of social phobia are discussed.     

Strength-is-Weakness: The (ir)relevant relation between resources and payoffs in coalition formation

A key observation in coalition formation is that bargainers who control many resources are often excluded from coalitions by bargainers who control few resources, the Strength-is-Weakness effect. We argue that this effect is contingent on whether resources provide a legitimate claim to be included in a coalition. Across three incentivized coalition experiments (n = 2745; 915 triads), three participants (player A had four resources, player B had three resources, player C had two resources) negotiated about a payoff of 90 monetary units. Depending on condition, these resources were obtained randomly, earned, or earned and proportionally linked to the payoff. Results showed player As were less included when resources were obtained randomly and more often included in coalitions when resources were earned and/or proportionally linked to the payoff. This provides evidence that the Strength-is-Weakness is contingent on the legitimacy of the resources.     

Fungible Correlation Matrices: A Method for Generating Nonsingular,Singular, and Improper Correlation Matrices for Monte Carlo Research

For a fixed set of standardized regression coefficients and a fixed coefficient of determination (R-squared), an infinite number of predictor correlation matrices will satisfy the implied quadratic form. I call such matrices fungible correlation matrices. In this article, I describe an algorithm for generating positive definite (PD), positive semidefinite (PSD), or indefinite (ID) fungible correlation matrices that have a random or fixed smallest eigenvalue. The underlying equations of this algorithm are reviewed from both algebraic and geometric perspectives. Two simulation studies illustrate that fungible correlation matrices can be profitably used in Monte Carlo research. The first study uses PD fungible correlation matrices to compare penalized regression algorithms. The second study uses ID fungible correlation matrices to compare matrix-smoothing algorithms. R code for generating fungible correlation matrices is presented in the supplemental materials.     

The social impact of emotional tears

The question what specific functions the production of emotional tears fulfills has received only limited attention of behavioral scientists. We report the results of two studies on the social impact of emotional tears. In Study 1 (96 Dutch females), perceived helplessness and felt connectedness predicted the willingness to help a person depicted as crying tearfully, while perceived friendliness did not. In Study 2 (US sample, 128 males, 68 females) all three of these variables mediated the effect the display of tears had on the willingness to help. Our results replicate and extend previous work and add to current knowledge by showing that tearful crying facilitates helping behavior and by identifying reasons why people are more willing to help criers. These findings help to put forth novel predictions on the impact of tearful crying on others.     

BIOFEEDBACK OF EVENT-RELATED SLOW POTENTIALS OF THE BRAIN

A biofeedback paradigm was developed for self-regulation of cortical DC-shifts. Subjects received continuous visual feedback of their actual DC-shift during six sec. intervals. Feedback trial series alternated with transfer test trial series. Several studies demonstrated that subjects are able to achieve cortical self-regulation which is maintained and even improved in transfer test trials. This method is used to investigate the covariation of DC-shifts and performance in reaction time tasks, mental tasks and signal detection by varying DC-shifts systematically. The procedure was also applied to different patient groups to test the functional significance of distinct brain regions and to explore deficits in patient groups.     

The emergence of knowledge systems thinking: A changing perception of relationships among innovation,knowledge process and configuration

As agriculture develops, policy and management decisions increasingly focus on agricultural innovation emerging from utilizing knowledge and/or technology. This paper considers models for underpinning knowledge and technology policy and management. It describes the emergence of knowledge systems thinking. The system construct is applied to actors (individuals, networks and institutions) involved in knowledge processes. These actors potentially form a highly articulated and complex whole. Knowledge policy and management focus on measures that enhance the synergy between actors. Knowledge systems are viewed as “soft systems,” i.e., they only become systems as a result of active construction and joint learning. The soft systems perspective facilitates the identification of various knowledge system models, which have consequences for policy and management decisions with respect to investment, design, and training. In an attempt to create a unifying theory for these models, it is posited that these models are consistent combinations of innovation, knowledge process and structural configuration. Currently, he is the director of an international program on “Comparative research in knowledge systems in support of sustainable agriculture.”     

The Idea of Creation and the Theory of Autopoietic Processes

Systems theory is proposed as a major resource for reconceptualizing a Christian theology of creation. Section I outlines the principles of the theory of autopoietic systems and discusses in particular Manfred Eigen's and Stuart Kauffman's differing views of the emergence of life. Section II shows how biblical texts conceive of God's "blessing" as a divine installment and reshaping of spatio-temporal fields for creaturely self-productivity. On this double basis, Section III undertakes a constructive attempt to formulate a theology of self-productivity within a Trinitarian framework. The unity of divine self-consistency and capacity for self-relativization is seen as the clue for understanding how God not only sustains the world in general but also influences particular processes by changing the overall probability pattern of evolving systems.     

The acquisition of robust and flexible cognitive skills

The authors introduce a model of skill acquisition that incorporates elements of both traditional models and models based on embedded cognition by striking a balance between top-down and bottom-up control. A knowledge representation is used in which pre- and postconditions are attached to actions. This model captures improved performance due to learning not only in terms of shorter solution times and lower error rates during the task but also in an increased flexibility to solve similar problems and robustness against unexpected events. In 3 experiments using a complex aviation task, the authors contrasted instructions that explicitly stated pre- and postconditions with conventional instructions that did not. The instructions with pre- and postconditions led to better and more robust performance than other instructions, especially on problems that required transfer. The parameters of the model were estimated to obtain a quantitative fit of the results of Experiment 1, which was then successfully used to predict the results of Experiments 2 and 3.     

Threaded cognition: an integrated theory of concurrent multitasking

The authors propose the idea of threaded cognition, an integrated theory of concurrent multitasking--that is, performing 2 or more tasks at once. Threaded cognition posits that streams of thought can be represented as threads of processing coordinated by a serial procedural resource and executed across other available resources (e.g., perceptual and motor resources). The theory specifies a parsimonious mechanism that allows for concurrent execution, resource acquisition, and resolution of resource conflicts, without the need for specialized executive processes. By instantiating this mechanism as a computational model, threaded cognition provides explicit predictions of how multitasking behavior can result in interference, or lack thereof, for a given set of tasks. The authors illustrate the theory in model simulations of several representative domains ranging from simple laboratory tasks such as dual-choice tasks to complex real-world domains such as driving and driver distraction.