A design approach that adjusts automatically based on user behavior and preferences, enhancing user experience.

The process of creating step-by-step procedures for solving problems, crucial for processing user data in AI applications.

Software that utilizes artificial intelligence to assist in creating and optimizing design solutions tailored to user needs.

The practice of examining and interpreting data to extract meaningful insights, vital for user-centered design.

The study of moral implications and responsibilities in AI development, ensuring fairness and transparency in design.

A subset of AI that enables systems to learn from data and improve their performance without explicit programming.

The process of creating preliminary models of a product to test concepts and functionalities before full-scale production.

The overall experience a user has when interacting with a product, focusing on usability and satisfaction.

Fictional characters created based on user data to represent different user types and guide design decisions.

A method of evaluating a product by testing it with real users to gather feedback and improve design.

The protection of personal data collected from users, ensuring compliance with regulations and ethical standards.

Information that is delivered immediately after collection, allowing for dynamic adjustments in design.

The creation of a visual guide that represents the skeletal framework of a website or application.

The interaction and involvement of users with a product, crucial for successful design outcomes.

The graphical representation of data to help users understand complex information easily.

Systematic errors in AI algorithms that can lead to unfair outcomes, highlighting the need for ethical design.

A problem-solving approach that prioritizes user needs and iterative testing to refine solutions.

Working across different fields, such as design and data science, to foster innovation and enhance outcomes.

A design philosophy that places the user at the forefront of the design process, ensuring their needs are met.

A working model of a product that demonstrates its functionality and allows for user testing.

The effectiveness of an algorithm in achieving desired outcomes based on user data analysis.

The introduction of new technologies or methods that significantly improve processes or products.

The customization of user experiences based on individual preferences and behaviors.

Fundamental guidelines that inform the design process, ensuring usability and aesthetic appeal.

Methods used to gather user data effectively for analysis and design improvements.

The process of organizing and presenting research, findings, and designs for review and assessment.