Mixed Reality UI Adaptations with Inaccurate and Incomplete Objectives
Published in CHI ’23 Workshop on Future of Computational Approaches for Understanding and Adapting User Interfaces, 2023
Recommended citation: Christoph Albert Johns and João Marcelo Evangelista Belo. 2023. Mixed Reality UI Adaptations With Inaccurate and Incomplete Objectives. In CHI ’23 Workshop on Future of Computational Approaches for Understanding and Adapting User Interfaces: ACM CHI Conference on Human Factors in Computing Systems, April 23, 2023, Hamburg, Germany. ACM, New York, NY, USA, 6 pages. https://drive.google.com/file/d/1DG96ItpxiFSj9mLREaABWDa3M3cdMusP/view
This position paper outlines a new approach to adapting 3D user interface (UI) layouts given the complex nature of end-user preferences. Current optimization techniques, which mainly rely on weighted sum methods, can be inflexible and result in unsatisfactory adaptations. We propose using multi-objective optimization and interactive preference elicitation to provide semi-automated, flexible, and effective adaptations of 3D UIs. Our approach is demonstrated using an example of single-element 3D layout adaptation with ergonomic objectives. Future work is needed to address questions around the presentation and selection of optimal solutions, the impact on cognitive load, and the integration of preference learning. We conclude that, to make adaptive 3D UIs truly effective, we must acknowledge the limitations of our optimization objectives and techniques and emphasize the importance of user control.