Human-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization
arxiv(2024)
摘要
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.
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