Computational user interfaces
in design

Computational User Interfaces (CUI) is an emerging field that combines design, machine learning, and interaction models to create adaptive, personalised experiences. Unlike traditional interfaces, which are based on static user research at a specific point in time, CUIs adjust in real-time based on user behaviour, context, and preferences. For example, I’ve worked on assignments where a menu reorganises itself as the user becomes more experienced, or where we A/B tested two designs to see which button gained more attention.

 

For designers, CUIs automate repetitive tasks, making the design process more efficient. Instead of constantly refining interfaces through manual testing, designers can use AI models to predict user needs and adjust the design in real-time. By analyzing user interactions, CUIs help designers focus on more strategic and creative decisions, while the system handles routine tasks like optimizing layouts and content hierarchy.

 

However, even though CUIs can create dynamic, personalized experiences, designers still play a key role in ensuring these systems retain a human touch. Translating real-world user journeys into digital experiences requires thoughtful design. Designers must map out various user paths, interactions, and touchpoints, taking into account users’ goals, context, and emotions. Ultimately, designers need to embrace this emerging technology while applying their creativity and user-focused strategies.