The module "Intelligent User Interfaces (IUI)" covers current topics at the intersection of Human-Computer Interaction and Machine Learning. The focus is on transferring and adapting methods from the fields of Machine Learning and Artificial Intelligence to practical questions of interactive system design, always with a human-centered perspective.

Topics covered include, among others:

• Fundamentals of Artificial Intelligence and Machine Learning (including Python implementations)
• Voice-based user interfaces (Voice User Interfaces)
• Text processing and Natural Language Processing (NLP)
• Context- and environment-aware interaction in intelligent systems
• Intelligent text input systems and optimized keyboard layouts
• Recommender systems and their evaluation
• Explainability and transparency of intelligent systems (Explainable AI)
• Usable security, human–machine security, and trustworthy AI
• Introduction to human–robot interaction

Upon successful completion of the module, students will be able to identify and explain key concepts and methods from the fields of Human-Computer Interaction, Machine Learning, and Artificial Intelligence, and situate them in the context of interactive systems. They will be able to critically reflect on the potential and limitations of intelligent user interfaces from technical, design, and ethical perspectives, design their own interactive systems that apply Machine Learning techniques to enable adaptive and user-centered behavior, and develop and iteratively refine prototype implementations of intelligent user interfaces in small teams. Furthermore, students will be able to apply core design principles and evaluation criteria for intelligent systems, with particular attention to aspects such as explainability, fairness, and trustworthiness, and communicate and critically discuss their work through presentations and technical demonstrations.

Module examination: 90 minutes written examination or oral examination