Geofencing
A technology that uses GPS or RFID to create virtual boundaries around a geographic area, triggering actions when entered or exited. Crucial for providing location-based services and personalized user experiences in digital products.
A technology that uses GPS or RFID to create virtual boundaries around a geographic area, triggering actions when entered or exited. Crucial for providing location-based services and personalized user experiences in digital products.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation. Important for creating reliable and user-friendly software applications.
ARIA attributes that notify assistive technologies about updates to parts of the web page that can change dynamically. Important for improving the accessibility of live or frequently updated content.
The application of game-design elements and principles in non-game contexts to engage and motivate people to achieve their goals. Crucial for enhancing user engagement and motivation in various contexts.
The process of estimating future sales based on historical data, trends, and market analysis. Crucial for setting realistic sales targets and planning resources effectively.
Responsive Web Design (RWD) is an approach to web design that makes web pages render well on a variety of devices and window or screen sizes. Essential for creating flexible, adaptive web experiences that maintain functionality and aesthetics across different platforms and devices.
The interpretation of historical data to identify trends and patterns. Important for understanding past performance and informing future decision-making.
A step-by-step guide that helps users complete a complex task by breaking it down into manageable steps. Crucial for improving usability and ensuring users can successfully complete multi-step processes.
The technology of transmitting and understanding information through touch. Crucial for enhancing user interactions with devices and systems through tactile feedback.
The use of touch sensations to communicate information to users, often through vibrations or other tactile responses in devices. Essential for enhancing user interaction and providing sensory feedback.
World Wide Web Consortium (W3C) is an international community that develops open standards to ensure the long-term growth of the Web. Essential for creating and maintaining protocols and guidelines that enable the Web to function and evolve.
The drive to perform an activity for its inherent satisfaction rather than for some separable consequence. Crucial for designing experiences that engage users through inherent enjoyment and interest.
The process of defining and creating algorithms to solve problems and perform tasks efficiently. Fundamental for software development and creating efficient solutions.
Voice User Interface (VUI) is a system that allows users to interact with a device or software using voice commands. Essential for creating hands-free, intuitive user experiences.
A cognitive bias where individuals tend to focus on positive information or events more than negative ones, especially as they age. Useful for understanding user preferences and designing experiences that emphasize positive outcomes.
The process of linking language to its real-world context in AI systems, ensuring accurate understanding and interpretation. Crucial for improving the relevance and accuracy of AI-generated responses.
The process of training an AI model on a large dataset before fine-tuning it for a specific task. Crucial for building robust AI models that perform well on various tasks.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input. This technology is essential for automating content creation and enhancing interactive experiences.
The setting where software and systems are actually put into operation for their intended use. Essential for ensuring that products are fully functional and meet user requirements in a real-world setting.
Node Package Manager (NPM) is a package manager for JavaScript, enabling developers to share and reuse code modules in their projects. Crucial for managing dependencies and streamlining development workflows in JavaScript applications.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes. Important for ensuring fairness and accuracy in AI systems.
The practice of developing artificial intelligence systems that are fair, transparent, and respect user privacy and rights. Crucial for ensuring that AI technologies are developed responsibly and ethically.
A preliminary testing method to check whether the most crucial functions of a software application work, without going into finer details. Important for identifying major issues early in the development process and ensuring the stability of digital products.
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.
The ability to navigate through a web page or application using keyboard keys instead of a mouse. Important for enhancing accessibility and providing an alternative way to interact with content.
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results. Crucial for refining AI-generated content by providing clear instructions on undesired elements, improving output quality and relevance.
A behavior in which an individual provides a benefit to another with the expectation that the favor will be returned in the future, fostering mutual cooperation and long-term relationships. Important for building trust, cooperation, and mutually beneficial relationships in various social and professional contexts.
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 predictive model of human movement that describes the time required to move to a target area, used to design user interfaces that enhance usability. Important for designing efficient and user-friendly interfaces.
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.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses. Essential for improving the accuracy and reliability of AI-generated content.
An interdisciplinary study of systems, examining the complex interactions and relationships between components within a whole. Crucial for understanding and designing complex, interconnected systems.
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 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.
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.
Numeronym for the word "Compatibility" (C + 11 letters + Y), ensuring that systems, devices, or applications can operate together without conflict or need for modification. Crucial for ensuring seamless integration and functionality across different platforms.
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.
A writing style where the most important information is presented at the beginning, followed by supporting details in order of decreasing importance. Crucial for creating clear and effective information hierarchies in content design.
Artificially generated data that mimics real data, used for training machine learning models. Crucial for training models when real data is scarce or sensitive.
The study of how people acquire knowledge, skills, and behaviors through experience, practice, and instruction. Useful for creating educational content and interactive tutorials that enhance user learning.
A psychological phenomenon where people develop a preference for things simply because they are familiar with them. Crucial for designing user experiences that leverage familiarity to increase user comfort and satisfaction.
A cognitive bias where people wrongly believe they have direct insight into the origins of their mental states, while treating others' introspections as unreliable. Important for designing experiences that account for discrepancies between user self-perception and actual behavior.
The minimum difference in stimulus intensity that a person can detect, also known as the just noticeable difference (JND). Crucial for designing user interfaces that are sensitive to changes in user input and feedback.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing. Important for understanding and mitigating errors in AI systems.
A user experience design methodology focused on rapid iteration, collaboration, and learning through experimentation. Essential for creating user-centered designs efficiently and effectively.
A theory of motivation that explains behavior as driven by a desire for rewards or incentives. Crucial for designing systems that effectively motivate and engage users.
A methodology that focuses on minimizing waste and maximizing value in business processes. Essential for improving efficiency, productivity, and customer satisfaction by eliminating non-value-adding activities.
Representational State Transfer (REST) is an architectural style for designing networked applications based on stateless, client-server communication. Essential for building scalable and efficient web services.
A structured communication technique originally developed as a systematic, interactive forecasting method which relies on a panel of experts. Important for gathering expert opinions and making informed decisions.
A Gestalt principle that describes the tendency of the human visual system to perceive lines or patterns that follow a smooth, continuous path rather than a disjointed or abrupt one. Essential for creating designs that guide the user's eye smoothly and logically.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider. Essential for making advanced AI capabilities accessible to businesses.
A design language developed by Google that uses shadow, depth, and motion to create a realistic and intuitive user interface. Crucial for creating modern, consistent, and user-friendly interfaces.
The use of biological data (e.g., fingerprints, facial recognition) for user authentication and interaction with digital systems. Crucial for enhancing security and user experience through advanced authentication methods.
A theory of motivation that emphasizes the importance of autonomy, competence, and relatedness in fostering intrinsic motivation and psychological well-being. Important for understanding how to design experiences that support user motivation and well-being.
The effort required for users to complete a task or interaction within a system. Essential for optimizing usability and minimizing user effort.
A research method that involves forming a theory based on data systematically gathered and analyzed. Useful for developing design theories and solutions that are directly grounded in user research and data.
The tendency for people to overestimate their ability to control events. Important for understanding user behavior and designing experiences that manage expectations.
A temporary increase in the frequency and intensity of a behavior when reinforcement is first removed. Useful for understanding user behavior changes in response to modifications in design or system features.
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.
Environmental signals that influence behavior and decision-making, such as signage, prompts, or notifications. Useful for designing environments and systems that effectively guide user behavior.