Emergence
A key aspect of Gestalt psychology where complex patterns arise out of relatively simple interactions. Crucial for understanding how users perceive complex designs and patterns.
20 topics found for:
“pattern recognition”
Clustering Illusion
A cognitive bias where people see patterns in random data. Important for designers to improve data interpretation and avoid false conclusions based on perceived random patterns.
Computational Thinking
A problem-solving process that includes logical reasoning, pattern recognition, abstraction, and algorithmic thinking. Important for developing efficient and effective solutions in digital product design and development.
Neural Network
A set of algorithms, modeled loosely after the human brain, designed to recognize patterns and perform complex tasks. Essential for developing advanced AI applications in various fields.
Big Data
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations. Crucial for gaining insights and making data-driven decisions.
Invariance
A key aspect of Gestalt psychology in which simple geometrical objects are recognized independent of rotation, translation, and scale. Crucial for understanding how users perceive and recognize patterns in design.
Inductive Research
A research approach that starts with observations and develops broader generalizations or theories from them. Useful for discovering patterns and generating new theories from data.
Anomaly Detection
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior. Crucial for detecting fraud, errors, or other significant deviations in various contexts.
Illusory Correlation
The perception of a relationship between two variables when no such relationship exists. Crucial for understanding and avoiding biases in data interpretation and decision-making.
Similarity
A Gestalt principle that states that objects that are similar in appearance are perceived as being more related than objects that are dissimilar. Essential for creating visually cohesive and intuitive designs.
Scanning Pattern
Common reading patterns users follow when scanning web content, such as the F-pattern, where users read across the top and then scan down the left side. Important for designing layouts that align with natural reading behaviors, improving content engagement and usability.
Pattern Recognition
The ability to identify and interpret patterns in data, often used in machine learning and cognitive psychology. Crucial for designing systems that leverage pattern recognition for predictive analytics and user interactions.
Obstruction
A dark pattern where a process is made more difficult than it needs to be to discourage certain behavior. Recognizing the harm of this practice is important to design straightforward user processes.
Trick Questions
A dark pattern where questions are worded in a way that tricks the user into giving an answer they didn't intend. Recognizing the harm of this practice is important to maintain clarity and honesty in user interactions.
Anti-Pattern
A common solution to a recurring problem that is ineffective and counterproductive, often resulting in negative consequences. Important for recognizing and avoiding poor design practices and improving overall design quality.
MVC
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input). Essential for creating modular, maintainable, and scalable software applications by promoting separation of concerns.
Representativeness
Representativeness is a heuristic in decision-making where individuals judge the probability of an event based on how much it resembles a typical case. Crucial for understanding biases in human judgment and improving decision-making processes.
LLM
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text. Essential for natural language processing tasks, content generation, and enhancing human-computer interactions across various applications in product design and development.
CBR
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems. This approach is essential for developing intelligent systems that learn from past experiences to improve problem-solving capabilities.
WCAG
Web Content Accessibility Guidelines (WCAG) are a set of guidelines developed by WAI to make web content more accessible. Essential for ensuring that websites are usable by individuals with disabilities, thereby promoting inclusivity and compliance with accessibility standards.