An adaptive user interface (AUI) can modify or change its layout, behaviour, and content based on the user, such as their abilities or intents, and their context of use, such as their platform or environment. Artificial Intelligence (AI) is a powerful tool for learning from data, to make inferences and plan actions that can drive a system towards a preferred state. This workshop aimed to investigate how we can apply AI methods towards future AUIs. More specifically, using a hands-on approach,

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... explored the application of AI and Machine Learning (ML) towards objectively improving aspects such as usability, reliability, and aesthetics while adapting UIs. Table of Contents: AI4AUI: Workshop on AI Methods for Adaptive User Interfaces (Workshop Proposal). Kashyap Todi, Jean Vanderdonckt, Xiaojuan Ma, Jeffrey Nichols, Nikola Banovic. Probabilistic GUI Representations for Adaptive User Interfaces. Daniel Buschek AUI4RFQ: How Can Adaptive User Interfaces Support Document-Centric Knowledge Work? Rene Kaiser Modelling Visual Search for Adaptive User Interfaces. Kashyap Todi Investigating Adaptive User Interface Design of Online Museums with Interactive Guiding Questions. Zhenjie Zhao, Xiaojuan Ma