ロボットの心を聴く：人間とロボットの相互作用における明示的フィードバックのための音響化
Hearing the Robot's Mind: Sonification for Explicit Feedback in Human-Robot Interaction
ロボットが周囲の人やその意図をどう認識しているかという内部状態を音で伝える新しい音響化手法を提案し、オンライン調査と実機実験で有効性と課題を検証した。
著者: Simone Arreghini, Antonio Paolillo, Gabriele Abbate, Alessandro Giusti
分類: cs.RO
原文アブストラクト
Social robots are required not only to understand human intentions but also to effectively communicate their intentions or own internal states to users. This study explores the use of sonification to provide explicit auditory feedback, enhancing mutual understanding in HRI. We introduce a novel sonification approach that conveys the robot's internal state, linked to its perception of nearby individuals and their interaction intentions. The approach is evaluated through a two-fold user study: an online video-based survey with $26$ participants and live experiments with $10$ participants. Results indicate that while sonification improves the robot's expressivity and communication effectiveness, the design of the auditory feedback needs refinement to enhance user experience. Participants found the auditory cues useful but described the sounds as uninteresting and unpleasant. These findings underscore the importance of carefully designed auditory feedback in developing more effective and engaging HRI systems.
