Information processing and aspects of visual attention in children with the DSM-III-R diagnosis “pervasive developmental disorder not otherwise specified” (PDDNOS): II. sustained attention

A group of 15 nonhyperactive children of normal intelligence with the DSM-III-R diagnosis “pervasive developmental disorder not otherwise specified” (PDDNOS) performed a sustained attention task. Adopting a cognitive-energetical linear stage model of human information processing, we investigated whether task performances deteriorated due to a diminishing level of arousal, activation, or by the active ‘effortful’ mode of information processing. In comparison to an age-matched group of normal children, the patients showed no sharper decrease in perceptual sensitivity (d'). D' is assumed to be a measure of arousal. However, the children with PDDNOS exhibited large fluctuations in their response bias beta (β), which is assumed to be a measure of activation. During the first part of the task, they shifted between under- and overestimating negative responses. In the latter part of the task this pattern altered to significantly overestimating the number of negative responses. This indicates that the patients were not able to appropriately tune to the task-inherent response probability. Moreover, as compared to the control children, the patients showed a significantly sharper decrease in hit rate with time on task, despite the fact that feedback was given on the errors. The findings are interpreted as an increasing loss of the ability to control the response bias due to difficulties in maintaining the voluntary effortful mode of processing information with prolonged time on task.     

Reversible decisions: The grass isn't merely greener on the other side; it's also very brown over here

People generally say they prefer to have the opportunity to revise decisions at a later point in time. Research has shown, however, that reversible decision-making leads to lower as opposed to higher levels of post-choice satisfaction (Gilbert & Ebert, 2002). In three studies we aimed to gain insight into the underlying processes driving this counterintuitive finding. Our results show that irreversible decision-making increases the accessibility of the positive aspects of the chosen and the negative aspects of the rejected alternatives. Hence, in line with what would be expected on the basis of cognitive dissonance theory, irreversible decision-making results in a focus on aspects of the decision that optimize choice satisfaction. After reversible decision-making, however, the negative aspects of the chosen and the positive aspects of the rejected alternatives tend to become relatively more accessible. Apparently, reversible decisions automatically direct people's attention to those aspects of the decision that potentially decrease satisfaction with the chosen alternative.     

Deus or Darwin: Randomness and belief in theories about the origin of life

A simple reminder of the fact that we do not always control life's outcomes reduced people's belief in Darwin's Theory of Evolution. This control-threat resulted in a relative preference for theories of life that thwart randomness, either by stressing the role of a controlling God (Intelligent Design) or by presenting the Theory of Evolution in terms of predictable and orderly processes. Moreover, increased preference for Intelligent Design over evolutionary theory disappeared when the latter was framed in terms of an orderly process with inevitable outcomes. Thus, psychological threat enhances belief in God, but only in the absence of other options that help to create order in the world.     

Cognitive components of troubleshooting strategies

This study investigated the kinds of knowledge necessary to learn an important troubleshooting strategy, elimination. A total of 50 college-level students searched for the source of failures in simple digital networks. Production system modelling suggested that students using a common but simpler backtracking strategy would learn the more advanced elimination strategy if they applied certain domain-specific knowledge and the general-purpose problem-solving strategy of reductio ad absurdum. In an experiment, students solved network troubleshooting problems after being trained with either the domain-specific knowledge, the reductio ad absurdum strategy, both types of knowledge, or neither. Students needed both the domain-specific and general knowledge identified by the models in order to significantly increase their elimination use.