Control by action representation and input selection (CARIS): a theoretical framework for task switching.

Nachshon Meiran, Yoav Kessler, Esther Adi-Japha
Author Information
  1. Nachshon Meiran: Department of Psychology, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel. nmeiran@bgu.ac.il

Abstract

Control by action representation and input selection (CARIS) is a modeling framework for task-switching experiments, which considers action-related effects as critical constraints. It assumes that control operates by choosing control parameter values, representing input selection and action representation. Competing CARIS models differ in whether (a) control parameters are determined by current instructions or represent a perseveration, (b) current instructions apply to the input selection and/or to action representation. According to the chosen model (a) task execution results in a default bias in favor of the executed task thus creating perseverative tendencies; (b) control counteracts these tendencies by applying a transient momentary bias whose locus (input selection or action representation) changes as a function of task preparation time; (c) this happens because the task-cue (e.g., SHAPE) initially attracts attention to the immediately available cue-information (e.g., target shape) and then attracts it to inferred or retrieved information (e.g., "circle" is related to the right key press).

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MeSH Term

Attention
Choice Behavior
Cognition
Cues
Discrimination Learning
Humans
Learning
Models, Psychological
Problem Solving
Psychomotor Performance
Reaction Time
Social Adjustment

Word Cloud

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