Semantic Encoding
The process of encoding sensory input that has particular meaning or can be applied to a context, enabling deeper processing and memory retention.
The process of encoding sensory input that has particular meaning or can be applied to a context, enabling deeper processing and memory retention.
A cognitive approach that involves meaningful analysis of information, leading to better understanding and retention.
A theory suggesting that information processed at a deeper, more meaningful level is better remembered than information processed at a shallow level.
A cognitive approach where information is processed at a surface level, focusing on basic features rather than deeper meaning, often leading to poorer memory retention.
The Principle of Choices is an information architecture guideline that emphasizes providing users with meaningful options to navigate and interact with a system.
A concept in communication and interaction where information or influence flows in two directions.
Also known as Self Relevance Effect, the tendency for individuals to better remember information that is personally relevant or related to themselves.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
A set of principles describing how the human mind organizes visual information into meaningful wholes.