Information Foraging
The theory that users search for information in a manner similar to animals foraging for food, aiming to maximize value while minimizing effort.
The theory that users search for information in a manner similar to animals foraging for food, aiming to maximize value while minimizing effort.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
An economic approach that treats human attention as a scarce commodity, focusing on capturing and retaining user attention.
A learning phenomenon where information is better retained when study sessions are spaced out over time rather than crammed in a short period.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
A self-regulation strategy in the form of "if-then" plans that can lead to better goal attainment and behavior change.
Environmental signals that influence behavior and decision-making, such as signage, prompts, or notifications.
A theory in economics that models how rational individuals make decisions under risk by maximizing the expected utility of their choices.
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems.