首页> 外文会议>ACM/IEEE International Conference on Human-Robot Interaction >Let Me Tell You! : Investigating the Effects of Robot Communication Strategies in Advice-giving Situations based on Robot Appearance, Interaction Modality and Distance
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Let Me Tell You! : Investigating the Effects of Robot Communication Strategies in Advice-giving Situations based on Robot Appearance, Interaction Modality and Distance

机译:让我告诉你! :根据机器人外观,交互方式和距离调查机器人通信策略在建议的情况下的影响

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Recent proposals for how robots should talk to people when they give advice suggest that the same strategies humans employ with other humans are effective for robots as well. However, the evidence is exclusively based on people's observation of robot giving advice to other humans. Hence, it is not clear whether the results still apply when people actually participate in real interactions with robots. We address this shortcoming in a novel systematic mixed-methods study where we employ both survey-based subjective and brain-based objective measures (using functional near infrared spectroscopy). The results show that previous results from observation conditions do not transfer automatically to interaction conditions, and that robot appearance and interaction distance are important modulators of human perceptions of robot behavior in advice-giving contexts.
机译:最近的建议是如何在咨询建议时与人交谈的建议表明,与其他人类的相同策略雇用也适合机器人。然而,证据完全基于人们对机器人的观察给予其他人的建议。因此,目前尚不清楚当人们实际参与与机器人的真实互动时,结果仍然适用。我们以新颖的系统混合方法研究解决了这种缺点,我们采用了基于调查的主观和基于脑的客观措施(使用功能近红外光谱)。结果表明,观察条件的先前结果不会自动转移到相互作用条件,并且机器人外观和相互作用距离是人类对辅助背景下的机器人行为的重要调制器。

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