Using Anthropomorphism to Improve the Human-Machine Interaction in Industrial Environments (Part I)
Using Anthropomorphism to Improve the Human-Machine Interaction in Industrial Environments (Part I)
复制标题
利用拟人化改善工业环境中的人机交互（第一部分）
DOI：
10.1007/978-3-642-39182-8_9
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Schlick
中科院分区：
文献类型：
--
作者：
Müller;Schlick
社会技术系统的概念强调人与技术系统之间的相互关系，将人类操作员视为系统的组成部分。然而，为了充分发挥这一理念的潜力，技术系统必须被视为团队合作伙伴并被接受。拟人化是一种很有前途的方法，以提高接受的机器人系统作为一个团队合作伙伴。在第一部分的共同贡献，我们介绍了一项研究，侧重于在工业环境中的拟人化的影响。一个虚拟环境组成的机器人装配单元被用来进行预测实验，24名参与者比较拟人化的运动和轨迹的基础上的线性和角运动学的关节式机器人。任务是预测运动过程中的目标位置。分析了相应的反应值和预测精度。
The concept of socio-technical systems emphasizes the mutual interrelationship between humans and technical system considering the human operator as an integral part of the system. However, to use the full potential of this idea the technical system has to be perceived and accepted as a team-partner. Anthropomorphism is a promising approach to improve the acceptance of a robotic system as a team-partner. In the first part of this joint contribution we introduce a study focusing on the effect of anthropomorphism in industrial environments. A virtual environment consisting of a robotized assembly cell was utilized to conduct a prediction experiment with 24 participants comparing anthropomorphic movements and trajectories based on linear and angular kinematics of an articulated robot. The task was to predict the target position during movement. The corresponding reaction value and the prediction accuracy were analyzed.