産業用ロボティクスにおける人とAIの相互作用：説明可能なAIベースのロボットプログラム最適化のためのユーザーインターフェースの設計と実証評価
Human-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization
深層学習ベースのロボットプログラム最適化ツールに、ユーザーのスキルレベルに応じた表示と説明可能AI機能を備えた説明用ユーザーインターフェース（XUI）を設計し、予備調査でその影響を評価するとともに大規模追跡調査の計画を提案した。
著者: Benjamin Alt, Johannes Zahn, Claudius Kienle, Julia Dvorak, Marvin May, Darko Katic, Rainer Jäkel, Tobias Kopp, Michael Beetz, Gisela Lanza
分類: cs.RO, cs.AI, cs.CE, cs.HC, cs.LG
原文アブストラクト
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.
