走向社交机器人中有意义的信号和线索的类型学

F. Hegel, Sebastian Gieselmann, Annika Peters, Patrick Holthaus, B. Wrede
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引用次数: 45

摘要

在本文中,我们提出了人类机器人交互(HRI)中相关信号和线索的类型学的第一步。在人类和动物的交流系统中,信号和线索对这些信号的发送者和接受者起着重要的作用。在我们的类型学中,我们系统地区分机器人的信号和线索,这些信号和线索要么被设计成类似人类的,要么是人为的,以创造有意义的信息。随后,开发者和设计师应该意识到哪些迹象会影响用户对社交机器人的判断。出于这个原因,我们首先回顾了已经在HRI中成功使用的几种信号和线索。其次,我们讨论了迄今为止在社交机器人的设计中尚未考虑到的关键的类人和人工线索,尽管它们极有可能影响用户对社交机器人的判断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a typology of meaningful signals and cues in social robotics
In this paper, we present a first step towards a typology of relevant signals and cues in human-robot interaction (HRI). In human as well as in animal communication systems, signals and cues play an important role for senders and receivers of such signs. In our typology, we systematically distinguish between a robot's signals and cues which are either designed to be human-like or artificial to create meaningful information. Subsequently, developers and designers should be aware of which signs affect a user's judgements on social robots. For this reason, we first review several signals and cues that have already been successfully used in HRI with regard to our typology. Second, we discuss crucial human-like and artificial cues which have so far not been considered in the design of social robots - although they are highly likely to affect a user's judgement of social robots.
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