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Using the Interacting Cognitive Subsystems model [Affect, Cognition and Change: Re-modelling Depressive Thought, Lawrence Erlbaum Associates, Hove, 1993], some specific macro-theoretic variables are identified.
The theoretical rationale for this distinction comes from the reduced concreteness theory (Borkovec et al. 1998; Stober and Borkovec 2002) and the interacting cognitive subsystems theory (Teasdale 1999).
More generally, we hope that the model proposed here will further stimulate experimental and therapeutic studies designed to test and modify the various interacting cognitive influences described here.
This is probably due to the complexity of our task, involving a range of interacting cognitive processes (e.g., memory retrieval, motor planning, performance monitoring etc., see Introduction).
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The (interacting) variables cognitive pre-test score and item difficulty were centered when testing the explanatory item response models to ease the interpretation of effects.
CH should interact with cognitive users to obtain the trust value.
Viewing patterns interact with cognitive performance in a range of tasks.
There is growing consensus that hearing loss and consequent amplification likely interact with cognitive systems.
Attention circuits interact with cognitive and motivational systems to facilitate detection of salient sensory events in the environment.
Since we are interested in the emotion-cognition interaction, we focus on comparing the model's prediction with previously reported experiments in the case when physiological arousal interacts with cognitive anxiety, i.e. the human is worried to influence his/her performance.
Polygenic risk interacted with cognitive ability (p =.02), predicting HbA1c levels more strongly in people with below-median cognitive ability (effect r =.21) than in people with above-median cognitive ability (effect r =.10).
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