List Length Effect
A phenomenon where the probability of recalling an item from a list depends on the length of the list. Important for understanding memory processes and designing effective information presentation.
A phenomenon where the probability of recalling an item from a list depends on the length of the list. Important for understanding memory processes and designing effective information presentation.
A cognitive bias where people allow themselves to indulge after doing something positive, believing they have earned it. Important for understanding user behavior and designing systems that account for self-regulation.
The cognitive bias where people treat a set of items as more significant when they are perceived as a cohesive group. Important for understanding user perception and decision-making.
The principle that elements in a digital interface maintain consistent appearance, position, and behavior across different pages and states to help users maintain orientation and familiarity. Important for creating a stable and predictable user experience, reducing disorientation and enhancing usability.
A framework suggesting there are two systems of thinking: System 1 (fast, automatic) and System 2 (slow, deliberate), influencing decision-making and behavior. Crucial for understanding how users process information and make decisions.
A cognitive bias where people tend to remember the first and last items in a series better than those in the middle, impacting recall and memory. Crucial for designing information presentation to optimize user memory and recall.
A phenomenon where information is better remembered if it is generated from one's own mind rather than simply read. Useful for designing educational and interactive content that enhances memory retention.
A concept that humans make decisions within the limits of their knowledge, cognitive capacity, and available time, leading to satisficing rather than optimal solutions. Crucial for designing systems and processes that account for human cognitive limitations and decision-making processes.
A Gestalt principle stating that people will perceive and interpret ambiguous or complex images as the simplest form(s) possible. Important for understanding visual perception and designing intuitive user interfaces.
A cognitive bias where individuals tend to avoid risks when they perceive potential losses more acutely than potential gains. Important for understanding decision-making behavior in users and designing systems that mitigate risk aversion.
A cognitive phenomenon where people are more likely to pursue goals or change behavior following a temporal landmark (e.g., new year, birthday). Useful for designing interventions and features that leverage these moments to encourage positive behavior.
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.
A memory aid that helps individuals recall information through associations, patterns, or acronyms. Important for designing educational content and interfaces that enhance memory retention.
A type of sensory memory that briefly holds visual information for a fraction of a second. Useful for understanding how users process visual information and designing interfaces accordingly.
The enhancement or diminishment of perception, cognition, or related performance as a result of exposure to a stimulus of greater or lesser value in the same dimension. Useful for designing interfaces that leverage contrasting elements to guide user attention and behavior.
A cognitive bias that causes people to believe they are less likely to experience negative events and more likely to experience positive events than others. Crucial for understanding user risk perception and designing systems that account for unrealistic optimism.
A cognitive bias where people attribute greater value to outcomes that required significant effort to achieve. Useful for designing experiences that recognize and reward user effort and persistence.
A cognitive bias where people favor members of their own group over those in other groups. Important for designing inclusive and equitable experiences for users.
A phenomenon where individuals' preferences between options change when the options are presented in different ways or contexts. Important for understanding and designing around inconsistencies in user choices.
A cognitive bias where consumers change their preference between two options when presented with a third, less attractive option. Useful for designers to create choice architectures that effectively influence user decisions.
Decision-making strategies that use simple heuristics to make quick, efficient, and satisfactory choices with limited information. Important for designing user experiences that support quick and efficient decision-making.
The practice of keeping multiple web pages open in browser tabs for future reference or action. Important for understanding user behavior and designing for multi-tab usage.
The tendency to perceive a greater quantity as a better value, regardless of the actual utility. Important for understanding consumer behavior and designing effective marketing strategies.
The change in opinions or behavior that occurs when individuals conform to the information provided by others. Important for understanding social dynamics and designing systems that leverage social proof and peer influence.
A cognitive bias where individuals give stronger weight to payoffs that are closer to the present time compared to those in the future. Important for understanding user time-related decision-making and designing systems that encourage long-term thinking.
A decision-making strategy that involves choosing an option that meets the minimum requirements rather than seeking the optimal solution, balancing effort and outcome. Important for designing user experiences that accommodate decision-making under constraints.
The study of how individuals make choices among alternatives and the principles that guide these choices. Important for designing decision-making processes and interfaces that help users make informed choices.
A theory that emphasizes the role of emotions in risk perception and decision-making, where feelings about risk often diverge from cognitive assessments. Important for designing systems that account for emotional responses to risk and improve decision-making.
The tendency for images to be more easily remembered than words, highlighting the power of visual communication. Crucial for designing effective visual content that enhances memory retention and user engagement.
A key aspect of Gestalt psychology describing the mind's ability to fill in gaps to create a whole object from incomplete elements. Crucial for designing creative and engaging visuals that are both pleasing to the eye and cleverly satisfying to the mind.
Readability is a design principle that emphasizes making text easy to read and understand. Crucial for enhancing user comprehension and engagement in digital and print media.
The phenomenon where people have a reduced ability to recall the last items in a list when additional, unrelated information is added at the end. Crucial for designing information presentation to optimize memory retention.
The ability to perform actions or behaviors automatically due to learning, repetition, and practice. Important for understanding user habits and designing intuitive user interfaces.
A Gestalt principle where the mind completes incomplete figures to form a whole, aiding in the perception of shapes and objects. Crucial for designing visual elements that are easily understood by users.
The tendency to forget information that can be easily found online, also known as digital amnesia. Important for understanding how access to information impacts memory and designing experiences accordingly.
The Principle of Disclosure is an information architecture guideline that promotes revealing information progressively as users need it. Crucial for managing complexity and preventing information overload.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition. Crucial for transforming complex data into intuitive visual formats, enabling faster insights and better decision-making.
The study of how the brain perceives and responds to art and design, exploring the neural basis for aesthetic experiences. Important for understanding the neurological underpinnings of aesthetic preferences and enhancing design impact.
The tendency for negative information to have a greater impact on one's psychological state and processes than neutral or positive information. Important for understanding and mitigating the impact of negative information.
A cognitive bias where bizarre or unusual information is better remembered than common information. Useful for designers to create memorable and engaging user experiences by incorporating unique elements.
Behavioral Science (BeSci) is the study of human behavior through systematic analysis and investigation. Essential for understanding and influencing user behavior in design and product development.
The theory that people adjust their behavior in response to the perceived level of risk, often taking more risks when they feel more protected. Important for designing safety features and understanding behavior changes in response to risk perception.
The tendency to judge the strength of arguments based on the believability of their conclusions rather than the logical strength of the arguments. Important for understanding cognitive biases that affect decision-making and user perceptions.
A cognitive bias where people tend to believe that others are more affected by media messages and persuasive communications than they are themselves. Important for understanding media influence and designing communications that account for this bias in user perception.
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.
A cognitive bias where people perceive past events as having been more predictable than they actually were. Important for understanding and mitigating biases in user feedback and decision-making.
A decision-making paradox that shows people's preferences can violate the expected utility theory, highlighting irrational behavior. Important for understanding inconsistencies in user decision-making and designing better user experiences.
A cognitive bias where people prefer a greater variety of options when making simultaneous choices compared to sequential choices. Important for designers to consider user preferences for variety when designing choice architectures and product offerings.
A heuristic where individuals evenly distribute resources across all options, regardless of their specific needs or potential. Useful for understanding and designing around simplistic decision-making strategies.
The study of the principles that govern human behavior, including how people respond to stimuli and learn from their environment. Crucial for designing user experiences that anticipate and influence user behavior.
A phenomenon where people fail to recognize a repeated item in a visual sequence, impacting information processing and perception. Important for understanding visual perception and designing interfaces that avoid repetitive confusion.
The persistence of misinformation in memory and influence on reasoning, even after it has been corrected. Crucial for understanding and mitigating the impact of misinformation in design and communication.
A decision-making rule where individuals choose the option with the highest perceived value based on the first good reason that comes to mind, ignoring other information. Crucial for understanding and designing for quick decision-making processes.
A cognitive bias where people rely too heavily on their own perspective and experiences when making decisions. Important for designers to recognize and mitigate their own perspectives influencing design decisions.
The idea that self-control or willpower draws upon a limited pool of mental resources that can be used up. Useful for designing user experiences that consider the limitations of willpower and self-control.
A phenomenon where people are more likely to remember information when they are in the same state of consciousness as when they learned it. Important for understanding how context affects memory recall and designing experiences that facilitate better retention.
A cognitive bias where individuals evaluate the value of bundled items differently than they would if the items were evaluated separately. Important for understanding user behavior and designing effective product bundles and pricing strategies.
A cognitive approach that involves meaningful analysis of information, leading to better understanding and retention. Crucial for designing educational and informational content that promotes deep engagement and learning.
A tendency to avoid making decisions that might lead to regret, influencing risk-taking and decision-making behaviors. Crucial for understanding decision-making processes and designing systems that minimize regret.
A theory that suggests the depth of processing (shallow to deep) affects how well information is remembered. Important for designing educational content and user interfaces that enhance memory retention.