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

机译:通过飞行路径探索利用LABAN工作系统来设计情感机置路径的沟通影响

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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:人和动物使用各种运动的方式来传达自己的想法和情感状态,众多如他们的情绪或情感。此外,人物属性影响和个性像只对它们的运动,如风格基于实体甚至非生命的运动,几何形状(如何移动有关)的运动风格,可以被解释为是害羞的,积极的,等我们研究机器人如何利用这种运动式的通信信道来与人沟通。具体来说,我们的设计传达出的情感状态的文体飞行机器人的运动路径的工作协议。创作和解压的影响为导向的飞行机器人运动风格的参数,我们采用了拉班努力系统,用于解释在表演艺术常用的人体运动的标准方法。本文描述了我们的努力拉班制度的适应,以笔者对运动飞行机器人,并研究了拉班努力的系统参数如何将各种影响人们的所产生的机器人运动的感知正式实验的结果。我们与在使用拉班努力系统引起所需的情感反应创作飞行机器人运动帮助设计师一套准则总结。

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