拡張現実と視線を用いた人間-ロボット共同行為フレームワークの設計と実装
Design and Implementation of a Human-Robot Joint Action Framework using Augmented Reality and Eye Gaze
ARと視線入力を用いて意図の双方向伝達を可能にする共同行為フレームワークを提案し、37名のユーザー実験でタスク効率・信頼・流暢さが向上することを示した。
著者: Wesley P. Chan, Morgan Crouch, Khoa Hoang, Charlie Chen, Nicole Robinson, Elizabeth Croft
分類: cs.RO
原文アブストラクト
When humans work together to complete a joint task, each person builds an internal model of the situation and how it will evolve. Efficient collaboration is dependent on how these individual models overlap to form a shared mental model among team members, which is important for collaborative processes in human-robot teams. The development and maintenance of an accurate shared mental model requires bidirectional communication of individual intent and the ability to interpret the intent of other team members. To enable effective human-robot collaboration, this paper presents a design and implementation of a novel joint action framework in human-robot team collaboration, utilizing augmented reality (AR) technology and user eye gaze to enable bidirectional communication of intent. We tested our new framework through a user study with 37 participants, and found that our system improves task efficiency, trust, as well as task fluency. Therefore, using AR and eye gaze to enable bidirectional communication is a promising mean to improve core components that influence collaboration between humans and robots.
