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A WOZ Environment for Studying Mutual Adaptive Behaviors in Gesture-based Human-robot Interaction

机译:用于研究基于手势的人体机器人互动的互适应行为的WOZ环境

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Mutual adaptation is considered to be one of the key issues in realizing a human robot interaction (HRI) system. In order to develop a mutually adaptive interactive robot system, the authors adopt a bootstrapping approach comprising three stages: a human-human WOZ (Wizard of OZ) experiment, a human-robot WOZ experiment, and a human-adaptive robot experiment. This paper will focus on the second stage where the authors developed a human-robot WOZ experimental environment and conducted an experiment to evaluate its effectiveness. The primary results suggested the following: the WOZ environment can function well; the operator's view mode can be considered as a relatively intuitive operational mode for a human WOZ operator; and the real-time video image of the robot's movement is necessary for the WOZ operator when he/she operates the robot while simultaneously watching the gestural instructions of the instructor. Some adaptive behaviors are observed as well. In addition, the primary results also suggested that the environment can be easily utilized with minor modifications to build a human-adaptive robot experiment.
机译:相互适应被认为是实现人体机器人交互(HRI)系统的关键问题之一。为了开发相互适应性的交互式机器人系统,作者采用包括三个阶段的引导方法:人类WOZ(OZ巫师)实验,人机WOZ实验和人类自适应机器人实验。本文将重点关注作者制定了人机WOZ实验环境的第二阶段,并进行了一种评估其有效性的实验。主要结果表明以下内容:WOZ环境可以运行良好;操作员的视图模式可以被视为人类WOZ运算符的相对直观的操作模式;当他/她操作机器人时,机器人运动的实时视频图像是在同时观察教练的姿态指令的同时操作机器人时所必需的。观察到一些自适应行为。此外,主要结果还提出了环境可以轻松地利用微小的修改来构建人类自适应机器人实验。

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