Bottom-Up IA
An approach to information architecture that starts with the details and builds up to a comprehensive structure.
An approach to information architecture that starts with the details and builds up to a comprehensive structure.
A theory that explains how individuals determine the causes of behavior and events, including the distinction between internal and external attributions.
A writing style where the most important information is presented at the beginning, followed by supporting details in order of decreasing importance.
Decision-making strategies that use simple heuristics to make quick, efficient, and satisfactory choices with limited information.
A theory that suggests people learn behaviors, skills, and attitudes through observing and imitating others, as well as through direct experiences.
The tendency to believe that large or significant events must have large or significant causes.
A framework that explores the structure and function of stories and how they influence human cognition and behavior.
A structure or framework used to create effective prompts for AI systems, ensuring clarity and context.
A psychological theory that predicts an individual's behavior based on their intention, which is influenced by their attitudes and subjective norms.