Cognitive load theory describes how the limited capacity of working memory constrains learning and performance. When task demands exceed available cognitive resources, errors increase, reaction times slow, and comprehension deteriorates. Managing cognitive load is essential for optimal performance.
Three Types of Cognitive Load
Intrinsic load stems from the inherent complexity of the material, defined in terms of element interactivity. Extraneous load results from poor design or unnecessary information that wastes cognitive resources without contributing to learning. Germane load represents the productive effort devoted to schema construction and automation.
Measuring Cognitive Load
Cognitive load can be assessed through subjective rating scales, physiological measures (pupil dilation, heart rate variability, EEG), and performance indicators (dual-task interference, error rates, response time variability). Task-evoked pupil dilation has been studied as an index of cognitive demand.
Managing Load for Better Performance
Approaches to managing load include eliminating distractions (reducing extraneous load), breaking complex tasks into components (managing intrinsic load), and automating sub-skills through practice (converting controlled processing to automatic). In cognitive testing, cluttered visuals and unclear controls add extraneous load.