While recent advances in deep learning have demonstrated its transformative
potential, its adoption for real-world manufacturing applications remains
limited. We present an Explanation User Interface (XUI) for a state-of-the-art
deep learning-based robot program optimizer which provides both naive and
expert users with different user experiences depending on their skill level, as
well as Explainable AI (XAI) features to facilitate the application of deep
learning methods in real-world applications. To evaluate the impact of the XUI
on task performance, user satisfaction and cognitive load, we present the
results of a preliminary user survey and propose a study design for a
large-scale follow-up study.

我们提出了一种用于最新深度学习为基础的机器人程序优化器的解释用户界面（XUI），它提供了不同的用户体验以应对用户的不同技能水平，同时引入了可解释的人工智能（XAI）功能以促进深度学习方法在实际应用中的应用。为了评估 XUI 对任务性能、用户满意度和认知负荷的影响，我们提出了初步用户调查的结果，并提出了一个大规模后续研究的研究设计。