Donald Broadbent
A pioneering cognitive psychologist known for his filter model of attention, explaining how humans process information in a noisy environment.
Quotes by Donald Broadbent
The human operator is not a simple channel, but a complex system with limited capacity and selective attention.
Attention is a filter that selects relevant information for further processing and discards irrelevant information.
The capacity of the human nervous system to process information is limited.
We do not perceive the world as it is, but as our cognitive filters allow us to perceive it.
The concept of a 'bottleneck' in information processing is central to understanding human performance.
Selective attention is not merely a matter of ignoring irrelevant stimuli, but actively processing relevant ones.
The study of human performance requires an understanding of both the physical characteristics of stimuli and the internal states of the observer.
Information theory provides a powerful framework for analyzing human cognitive processes.
The human mind is an information-processing system, and its limitations are a key to understanding its capabilities.
Errors in human performance often arise from limitations in attention and working memory.
The concept of a 'filter' is a metaphor, but a useful one, for understanding how we manage information overload.
Our perception is not a passive reception of sensory data, but an active construction based on limited information.
The brain is not a general-purpose computer, but a specialized information processor with inherent constraints.
Understanding the limits of human attention is crucial for designing effective human-machine interfaces.
The 'cocktail party effect' is a vivid demonstration of selective attention in action.
The study of cognitive processes must bridge the gap between psychological phenomena and physiological mechanisms.
Stress can significantly impair cognitive performance by reducing attentional capacity.
Decision-making under uncertainty is a fundamental aspect of human cognition.
The human operator is constantly balancing the need for speed with the need for accuracy.
Cognitive models should be testable and capable of generating specific predictions.