Human-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization

arXiv:2404.19349v1 Announce Type: cross
Abstract: 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 …

abstract adoption advances applications art arxiv cs.ai cs.ce cs.hc cs.lg cs.ro deep learning design evaluation explainable ai human industrial industrial robotics manufacturing optimization robot robotics state type while world