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.

翻译：本文提出一种新方法，用于应对终端用户偏好的复杂性以实现3D用户界面（UI）布局自适应。当前主要依赖加权和方法的优化技术缺乏灵活性，可能导致次优的自适应效果。我们提出采用多目标优化与交互式偏好引导，实现半自动化、灵活且高效的3D UI自适应。通过人体工学目标下的单元素3D布局自适应实例验证了该方法。未来需解决最优解的呈现与选择、认知负荷影响及偏好学习整合等关键问题。结论指出：要使自适应3D UI真正有效，必须正视优化目标与技术的局限性，并强调用户控制的重要性。