Expressivity for Sustained Human-Robot Interaction

V. Charisi, S. Šabanović, Serge Thill, E. Gómez, Keisuke Nakamura, R. Gomez
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引用次数: 1

Abstract

Expressivity - the use of multiple, non-verbal, modalities to convey or augment the communication of internal states and intentions - is a core component of human social interactions. Studying expressivity in contexts of artificial agents has led to explicit considerations of how robots can leverage these abilities in sustained social interactions. Research on this covers aspects such as animation, robot design, mechanics, as well as cognitive science and developmental psychology. This workshop provides a forum for scientists from diverse disciplines to come together and advance the state of the art in developing expressive robots. Participants will discuss points of methodological opportunities and limitations, to develop a shared vision for next steps in expressive social robots.
持续人机交互的表达能力
表达能力——使用多种非语言的方式来传达或增强内部状态和意图的沟通——是人类社会互动的核心组成部分。在人工代理的背景下研究表达能力导致了机器人如何在持续的社会互动中利用这些能力的明确考虑。这方面的研究涵盖了动画、机器人设计、力学以及认知科学和发展心理学等方面。本次研讨会为来自不同学科的科学家提供了一个论坛,让他们聚集在一起,共同推进开发具有表现力的机器人的最新技术。与会者将讨论方法上的机会和局限性,为表达型社交机器人的下一步发展形成共同的愿景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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