Ego Depletion
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.
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.
The experience of noticing something for the first time and then frequently encountering it shortly after, also known as frequency illusion. Important for understanding user perception and cognitive biases in information processing.
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter. Essential for making inferences about population parameters and understanding the precision of estimates in product design analysis.
The study of psychology as it relates to the economic decision-making processes of individuals and institutions. Essential for understanding and influencing user decision-making and behavior in economic contexts.
A psychological principle where people are more likely to be influenced by those they like. Important for understanding social influences and improving user engagement and marketing strategies.
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 cognitive bias where people prefer a smaller set of higher-quality options over a larger set with lower overall quality. Useful for designing product offerings and experiences that emphasize quality over quantity for users.
The characteristics and qualities that define a brand and distinguish it from competitors. Essential for creating a unique brand identity and guiding brand communications.
A brand architecture strategy where all products share a common brand name and identity. Essential for creating a cohesive brand image and leveraging brand equity across products.
A concept in behavioral economics that describes how future benefits are perceived as less valuable than immediate ones. Important for understanding user preferences and designing experiences that account for time-based value perceptions.
A cognitive bias where people prefer the option that seems to eliminate risk entirely, even if another option offers a greater overall benefit. Important for understanding decision-making and designing risk communication for users.
Guidelines that dictate how a brand should be presented across various media to ensure consistency. Crucial for maintaining brand integrity and ensuring uniformity in brand communications.
A behavioral economics concept where people categorize and treat money differently depending on its source or intended use. Crucial for understanding financial behavior and designing systems that align with users' mental accounting practices.
A unique element or feature that consistently represents a brand, such as a specific font, color, or sound. Important for creating a recognizable and distinct brand presence.
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human. Important for evaluating the intelligence of AI systems.
A psychological phenomenon where individuals are perceived as more likable if they make a mistake, provided they are generally competent. Important for understanding human perception and leveraging relatability in marketing and leadership.
Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas. Important for understanding the potential future impacts and ethical considerations of AI development.
The study of how people make choices about what and how much to do at various points in time, often involving trade-offs between costs and benefits occurring at different times. Crucial for designing systems that account for delayed gratification and long-term planning.
A cognitive bias where decision-making is affected by the lack of information or uncertainty. Important for understanding and mitigating user decision-making biases due to uncertainty or lack of information.
A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution. Important for making inferences about population parameters and ensuring the validity of statistical tests in digital product design.
A strategy where less immediate or tangible rewards are substituted with more immediate or tangible ones to encourage desired behaviors. Important for designing systems that leverage immediate incentives to promote long-term goals.
A dark pattern where a free trial ends and the user is automatically charged without warning. Designers should avoid this practice and ensure users are clearly informed about charges to maintain ethical standards.
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.
A psychological theory that predicts an individual's behavior based on their intention, which is influenced by their attitudes and subjective norms. Important for understanding and predicting user behavior and designing interventions to influence actions.
The tendency to attribute intentional actions to others' behaviors, often overestimating their intent. Important for understanding and mitigating biases in user interactions and feedback.
The practice of using an established brand name to introduce new products or services. Essential for leveraging brand equity to expand product lines and enter new markets.
A Gestalt principle stating that elements with a distinct visual feature (e.g., a unique color, size, or shape) capture attention and are perceived as a focal point. Crucial for designing interfaces that direct attention toward visual elements that signal and enable forward progress.
User Experience (UX) refers to the overall experience of a person using a product, system, or service, encompassing all aspects of the end-user's interaction. Crucial for creating products that are not only functional but also enjoyable, efficient, and satisfying to use.
A theory of emotion suggesting that physical and emotional responses to stimuli occur simultaneously and independently. Important for understanding user emotions and designing empathetic user experiences.
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.
The study of how psychological influences affect financial behaviors and decision-making. Essential for understanding and influencing financial decision-making and behavior.
The study of how new ideas, products, and processes are developed and brought to market. Essential for fostering creativity and ensuring the continuous improvement and relevance of products.
The value a brand adds to a product or service beyond the functional benefits, encompassing factors like brand awareness, perceived quality, and customer loyalty. Crucial for understanding the long-term value of a brand and its impact on business success.
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.
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 principle often used in behavioral economics that suggests people evaluate options based on relative comparisons rather than absolute values. Important for understanding decision-making and designing choices that highlight beneficial comparisons.
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 phenomenon where users consciously or subconsciously ignore banner-like information or advertisements on websites. Important for designing effective web content that captures user attention.
The phenomenon where having too many options leads to decision-making paralysis and decreased satisfaction. Crucial for understanding and designing user interfaces that avoid overwhelming users with choices.
An iterative design process that focuses on the users and their needs at every phase of the design process. Crucial for creating products that are effective, efficient, and satisfying for the end users.
The visual, auditory, and other sensory elements that represent a brand, such as logos, colors, and jingles. Crucial for creating a consistent and recognizable brand presence.
An inference method used in AI and expert systems where reasoning starts from the goal and works backward to determine the necessary conditions. Important for developing intelligent systems that can solve complex problems by working from desired outcomes.
The structure of brands within an organization, defining the relationships between parent brands, sub-brands, and other brand entities. Crucial for organizing brand portfolios and ensuring cohesive brand management.
A model predicting the speed-accuracy trade-off in pointing tasks when using devices like a mouse, important for user interface design. Useful for designing user interfaces that are efficient and easy to navigate.
Human-Computer Interaction (HCI) is the study of designing interfaces and interactions between humans and computers. It ensures that digital products are user-friendly, efficient, and satisfying.
A cognitive bias where individuals strengthen their beliefs when presented with evidence that contradicts them. Important for understanding user resistance to change and designing strategies to address and mitigate this bias.
The area within a market where unmet needs or problems present potential for new products or services. Essential for identifying new business opportunities.
The process by which attention is guided by internal goals and external stimuli, affecting how information is processed and remembered. Useful for designing user interfaces that direct user attention effectively.
Emotional states where individuals are calm and rational, often contrasted with hot states where emotions run high. Important for understanding decision-making processes and designing experiences that accommodate both states.
A framework for discovering and validating the right market for a product, building the right product features, and validating the business model. Important for ensuring that products meet market needs and customer expectations.
The process of changing the corporate image of an organization, including its name, logo, visual identity, and messaging, to better align with its strategic goals. Important for revitalizing a brand and aligning it with current market positioning and business objectives.
Actions, messages, or visuals that are consistent with the established brand identity and values. Essential for maintaining brand integrity and ensuring all communications align with brand standards.
The use of data from digital devices to measure and understand individual behavior and health patterns. Crucial for developing personalized user experiences and health interventions.
A cognitive bias where the perception of one positive trait influences the perception of other unrelated traits. Important for designers to manage and utilize this bias effectively in user experience design.
A mental shortcut that relies on immediate examples that come to mind when evaluating a specific topic, concept, method, or decision. Crucial for understanding how people make decisions and the biases that influence their choices.
A cognitive bias where people judge harmful actions as worse, or less moral, than equally harmful omissions (inactions). Important for understanding user decision-making and designing systems that mitigate this bias.
The study of cultural norms, values, and practices and their influence on human behavior. Useful for designing products that are culturally sensitive and relevant.
Actions, messages, or visuals that do not align with the established brand identity and values. Important for identifying and correcting deviations from brand standards.
A cognitive bias where the total probability assigned to a set of events is less than the sum of the probabilities assigned to each event individually. Important for understanding how users estimate probabilities and make decisions under uncertainty.
Explainable AI (XAI) are AI systems that provide clear and understandable explanations for their decisions and actions. This transparency is crucial for building trust and confidence in AI applications across various domains.