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Effects of a robotic storyteller's moody gestures on storytelling perception

机译:机器人讲故事者的喜怒无常手势对讲故事感知的影响

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A parameterized behavior model was developed for robots to show mood during task execution. In this study, we applied the model to the coverbal gestures of a robotic storyteller. This study investigated whether parameterized mood expression can 1) show mood that is changing over time; 2) reinforce affect communication when other modalities exist; 3) influence the mood induction process of the story; and 4) improve listeners' ratings of the storytelling experience and the robotic storyteller. We modulated the gestures to show either a congruent or an incongruent mood with the story mood. Results show that it is feasible to use parameterized coverbal gestures to express mood evolving over time and that participants can distinguish whether the mood expressed by the gestures is congruent or incongruent with the story mood. In terms of effects on participants we found that mood-modulated gestures (a) influence participants' mood, and (b) influence participants' ratings of the storytelling experience and the robotic storyteller.
机译:为机器人开发了一个参数化的行为模型,以显示任务执行过程中的情绪。在这项研究中,我们将模型应用于机器人讲故事的掩盖手势。这项研究调查了参数化的情绪表达是否可以:1)显示随时间变化的情绪; 2)当存在其他方式时,加强影响交流; 3)影响故事的情绪诱导过程;和4)提高听众对讲故事体验和机器人讲故事者的评价。我们对手势进行了调整,以使其与故事情境呈现出一致或不一致的情绪。结果表明,使用参数化的掩盖手势来表达随时间变化的情绪是可行的,并且参与者可以区分手势所表达的情绪与故事情绪是一致还是不一致。在对参与者的影响方面,我们发现,情绪调制手势(a)影响参与者的情绪,并且(b)影响参与者对讲故事体验和机器人讲故事者的评分。

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