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Communicating affect via flight path Exploring use of the Laban Effort System for designing affective locomotion paths

机译:通过飞行路径交流影响探索使用拉班努力系统设计情感移动路径

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People and animals use various kinds of motion in a multitude of ways to communicate their ideas and affective state, such as their moods or emotions. Further, people attribute affect and personalities to movements of even non-life like entities based solely on the style of their motions, e.g., the locomotion style of a geometric shape (how it moves about) can be interpreted as being shy, aggressive, etc. We investigate how robots can leverage this locomotion-style communication channel for communication with people. Specifically, our work deals with designing stylistic flying-robot locomotion paths for communicating affective state. To author and unpack the parameters of affect-oriented flying-robot locomotion styles we employ the Laban Effort System, a standard method for interpreting human motion commonly used in the performing arts. This paper describes our adaption of the Laban Effort System to author motions for flying robots, and the results of a formal experiment that investigated how various Laban Effort System parameters influence people's perception of the resulting robotic motions. We summarize with a set of guidelines for aiding designers in using the Laban Effort System to author flying robot motions to elicit desired affective responses.
机译:人和动物以多种方式使用各种运动来传达其思想和情感状态,例如其情绪或情感。此外,人们将情感和个性归因于仅基于其运动风格的非生活类实体的运动,例如,几何形状的运动风格(其运动方式)可以解释为害羞,激进等。我们研究了机器人如何利用这种运动风格的交流渠道与人交流。具体而言,我们的工作涉及设计用于传达情感状态的文体飞行机器人移动路径。为了编写和解开以情感为导向的飞行机器人运动风格的参数,我们使用了拉班努力系统,这是一种用于解释表演艺术中常用的人类运动的标准方法。本文介绍了我们对Laban Effort系统的适应性以编写飞行机器人的动作,以及一项正式实验的结果,该实验研究了各种Laban Effort系统参数如何影响人们对产生的机器人动作的感知。我们总结了一组指导原则,以帮助设计师使用Laban Effort系统创作飞行中的机器人动作来引发所需的情感反应。

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