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.”     

Biofeedback of slow brain potentials]

Slow cortical potentials constitute neurophysiological indicators of cortical excitability. Behaviorally they correlate with attention and motor preparation. A system for biofeedback and self-regulation of slow cortical potentials (SCP) has been developed. The portable system allows on-line visual feedback of filtered and corrected slow brain potentials in a predetermined sequence of trials. Three different algorithms for transforming the original SCP-signal into a feedback-signal have been developed and were compared in a controlled outcome study. With the optimal feedback method subjects were able to produce cortical positivity and negativity on command after three sessions. Increases and decreases of negativity of up to 20 microV were also achieved. Therefore a simple and portable PC-based device for the clinical application of SCP-biofeedback is now available.     

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.     

A word-order constraint on phonological activation

Word-order rules impose major constraints on linguistic behavior. For example, adjectives appear before nouns in English, and after nouns in French. This means that constraints on word order must be language-specific properties upheld on-line by the language system. Despite the importance of these rules, little is known about how they operate. We report an influence of word order on the activation of phonological representations. Participants were presented with colored objects and asked to name either the colors or the objects; the phonological similarity between the object and color names was manipulated. French speakers showed a phonological congruency effect in color naming, but not in object naming. English participants yielded the opposite pattern: a phonological effect in object naming, but not in color naming. Differences in the typical order of nouns and adjectives in French and English provide a plausible account for this cross-linguistic contrast. More generally, these results provide direct evidence for the operation of word-order constraints during language production.     

Too much control can hurt: A threaded cognition model of the attentional blink

Explanations for the attentional blink (AB; a deficit in identifying the second of two targets when presented 200-500 ms after the first) have recently shifted from limitations in memory consolidation to disruptions in cognitive control. With a new model based on the threaded cognition theory of multi-tasking we propose a different explanation: the AB is produced by an overexertion of control. This overexertion is produced by a production rule that blocks target detection during memory consolidation. In addition to fitting many known effects in the literature, the model predicts that adding certain secondary tasks will decrease the AB. In Experiment 1, a secondary task is added to the AB task in which participants have to respond to a moving dot. As predicted, AB decreases. Experiment 2 expands this result by controlling for learning, and adds a second variation, rotating the first target. For this variation the model predicts an increase in AB, which is indeed what we found.