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首页> 外文会议>IEEE International Symposium on Robot and Human Interactive Communication >Joint Action with Icub: a Successful Adaptation of a Paradigm of Cognitive Neuroscience in HRI
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Joint Action with Icub: a Successful Adaptation of a Paradigm of Cognitive Neuroscience in HRI

机译：与Icub的联合行动：HRI中认知神经科学范式的成功改编

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Robots will soon enter social environments shared with humans. We need robots that are able to efficiently convey social signals during interactions. At the same time, we need to understand the impact of robots' behavior on the human brain. For this purpose, human behavioral and neural responses to the robot behavior should be quantified offering feedback on how to improve and adjust robot behavior. Under this premise, our approach is to use methods of experimental psychology and cognitive neuroscience to assess the human's reception of a robot in human-robot interaction protocols. As an example of this approach, we report an adaptation of a classical paradigm of experimental cognitive psychology to a naturalistic human-robot interaction scenario. We show the feasibility of such an approach with a validation pilot study, which demonstrated that our design yielded a similar pattern of data to what has been previously observed in experiments within the area of cognitive psychology. Our approach allows for addressing specific mechanisms of human cognition that are elicited during human-robot interaction, and thereby, in a longer-term perspective, it will allow for designing robots that are well-attuned to the workings of the human brain.
机译：机器人将很快进入与人类共享的社交环境。我们需要能够在交互过程中有效传达社交信号的机器人。同时，我们需要了解机器人行为对人脑的影响。为此，应量化人类对机器人行为的行为和神经反应，以提供有关如何改善和调整机器人行为的反馈。在此前提下，我们的方法是使用实​​验心理学和认知神经科学方法来评估人机交互协议中人对机器人的接受程度。作为这种方法的一个例子，我们报告了实验认知心理学的经典范式对自然主义人机交互场景的适应。我们通过验证性试验研究证明了这种方法的可行性，这表明我们的设计产生了与先前在认知心理学领域的实验中观察到的相似的数据模式。我们的方法允许解决人与机器人交互过程中引发的人类认知的特定机制，因此，从长远来看，它将允许设计与人脑工作相适应的机器人。

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