理解人机交互中机器人协同运动的微观社会学方法

N. Abe, D. Rye, L. Loke
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引用次数: 3

摘要

现有的人机协作方法通常侧重于如何构建能够安全流畅地与人类一起完成协作任务的机器人。在与机器人互动时,人们如何理解基于运动的协作和非协作之间的界限,我们所知甚少。通过应用微观社会学理论来分析交互过程,我们提出并确定了人类和机器人将物体运送到目的地的协作任务中的故障点。在设计实验时,运动记录仪Laban用于精确描述机器人的预期规范和破坏性运动路径。本文的贡献在于从社会学的角度对协作的理论理解,以及结合微社会学和活动摄影的方法来设计和评估人与机器人之间的协作运动。所提出的方法解释了人们在识别机器人行为运动线索作为持续交互过程的一部分时所执行的偶然意义构建,并使协作和非协作机器人运动之间的边界得以定义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Microsociological Approach to Understanding the Robot Collaborative Motion in Human-Robot Interaction
Existing approaches to human-robot collaboration typically focus on how to build robots that can work safely and fluently with humans on collaborative tasks. Less is known about how people interpret the boundary between movement-based collaboration and non-collaboration when interacting with robots. By applying a microsociological theory to analysing the process of interaction as it unfolds, we propose and identify points of breakdown in the collaborative task of a human and a robot carrying an object to a destination. In designing the experiment, Kinetography Laban is used to enable a precise description of the intended normative and disruptive motion paths of the robot. The contribution of the paper is the theoretical understanding of collaboration from sociology, and a method for designing and evaluating collaborative motion between humans and robots that combines microsociology and Kinetography Laban. The proposed method accounts for the contingent meaning construction performed by people in recognising behavioural motion cues of robots as part of an ongoing interaction process, and enables the boundary between collaborative and non-collaborative robot motion to be defined.
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