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Iconic Gestures for Robot Avatars Recognition and Integration with Speech

机译:机器人头像的标志性手势语音识别和集成

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摘要

Co-verbal gestures are an important part of human communication, improving its efficiency and efficacy for information conveyance. One possible means by which such multi-modal communication might be realized remotely is through the use of a tele-operated humanoid robot avatar. Such avatars have been previously shown to enhance social presence and operator salience. We present a motion tracking based tele-operation system for the NAO robot platform that allows direct transmission of speech and gestures produced by the operator. To assess the capabilities of this system for transmitting multi-modal communication, we have conducted a user study that investigated if robot-produced iconic gestures are comprehensible, and are integrated with speech. Robot performed gesture outcomes were compared directly to those for gestures produced by a human actor, using a within participant experimental design. We show that iconic gestures produced by a tele-operated robot are understood by participants when presented alone, almost as well as when produced by a human. More importantly, we show that gestures are integrated with speech when presented as part of a multi-modal communication equally well for human and robot performances.
机译:语音手势是人类交流的重要组成部分,可提高其在信息传达中的效率和功效。可以远程实现这种多模式通信的一种可能方式是通过使用远程操作的类人机器人化身。先前已经显示出这样的化身可以增强社交感和操作员的显着性。我们为NAO机器人平台提供了一个基于运动跟踪的远程操作系统,该系统可直接传输操作员产生的语音和手势。为了评估该系统传输多模式通信的功能,我们进行了一项用户研究,调查了机器人产生的图标手势是否可以理解并与语音集成。使用参与者的内部实验设计,将机器人执行的手势结果直接与人类演员产生的手势结果进行比较。我们显示,当单独呈现时,参与者可以理解由遥控机器人产生的标志性手势,而与人类所产生的手势几乎一样。更重要的是,当人类和机器人的表现作为多模式通信的一部分呈现时,手势显示已与语音集成在一起。

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