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

机译:机器人讲故事的弱智姿态对讲故事的影响

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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:为机器人开发了参数化行为模型,以在任务执行期间显示心情。在这项研究中,我们将模型应用于机器人讲故事者的覆盖手势。本研究调查了参数化情绪表达是否可以显示出现随时间变化的心情; 2)当存在其他方式时,加强影响沟通; 3)影响故事的情绪感应过程; 4)改善讲师的讲故事经验和机器人讲故事者的评级。我们调制手势,以表明一致或不一致的情绪与故事情绪。结果表明,使用参数化的覆盖物手势可以表达随着时间的推移表达情绪,并且参与者可以区分手势所表达的情绪是一致或不一致的故事情绪。在对参与者的影响方面,我们发现情绪调制的手势(a)影响参与者的情绪,(b)影响参与者的讲故事经验和机器人讲故事者的评级。

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