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Limits and opportunities for mathematizing communicational conduct for social robotics in the real world? Toward enabling a robot to make use of the human's competences

机译:在现实世界中将社交机器人的交流行为数学化的极限和机会?致力于使机器人能够利用人类的能力

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Given the widespread goal of endowing robotic systems with interactional capabilities that would allow users to deal with them intuitively by using means of natural communication, the text addresses the question to which extent it would be possible to mathematize (aspects of) social interaction. Using the example of a robotic museum guide in a real-world scenario, central challenges in dealing with the situatedness and contingency of human communicational conduct are shown using fine-grained video analysis combining the robot's internal perspective with the user's view. On a conceptual level, the text argues to consider human and robot as one 'interactional system' that jointly solves a practical (communicational) task. This opens up the perspective to integrate the human's interactional competences and adaptability in the design and modeling of interactional building blocks for HRI. If we provide the technical system with systematic resources to make use of the human's competences, the limits of mathematization might gain an interesting twist. Through careful design of the robot's conduct, a powerful resource exists for the robot to pro-actively influence the users' expectations about relevant subsequent actions, so that the robot could contribute to establishing the conditions which would be most beneficial to its own functioning.
机译:考虑到赋予机器人系统以交互功能的广泛目标,该功能允许用户通过使用自然通信来直观地对其进行处理,因此本文提出了一个问题,即可以在多大程度上对社会交互(方面)进行数学处理。以现实世界中的机器人博物馆指南为例,通过结合机器人内部视角和用户视角的细粒度视频分析,显示了应对人类交流行为的位置和偶然性的主要挑战。从概念上讲,本文认为将人和机器人视为共同解决实际(通信)任务的“交互系统”。这为在HRI交互构建模块的设计和建模中整合人类的交互能力和适应性开辟了前景。如果我们为技术系统提供系统的资源来利用人类的能力,则数学化的局限性可能会引起有趣的变化。通过精心设计机器人的行为,可以为机器人提供强大的资源,以主动影响用户对相关后续动作的期望,从而使机器人可以为建立最有利于其自身功能的条件做出贡献。

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