Anna Maria Feit
Adaptive user interfaces can improve experiences in Extended Re ality (XR) applications by adapting interface elements according to the user’s context. Although extensive work explores diferent adaptation policies, XR creators often struggle with their imple mentation, which involves laborious manual scripting. The few available tools are underdeveloped for realistic XR settings where it is often necessary to consider conficting aspects that afect an adap tation. We fll this gap by presenting AUIT, a toolkit that facilitates the design of optimization-based adaptation policies. AUIT allows creators to fexibly combine policies that address common objec tives in XR applications, such as element reachability, visibility, and consistency. Instead of using rules or scripts, specifying adaptation policies via adaptation objectives simplifes the design process and This work is licensed under a Creative Commons Attribution International 4.0 License. UIST ’22, October 29-November 2, 2022, Bend, OR, USA © 2022 Copyright held by the owner/author(s). ACM ISBN 978-1-4503-9320-1/22/10. https://doi.org/10.1145/3526113.3545651 enables creative exploration of adaptations. After creators decide which adaptation objectives to use, a multi-objective solver fnds appropriate adaptations in real-time. A study showed that AUIT allowed creators of XR applications to quickly and easily create high-quality adaptations. CCS CONCEPTS • Human-centered computing → Systems and tools for in teraction design; Gestural input; Mixed / augmented reality; Virtual reality; User interface toolkits.