论文标题
为什么机器人应该技术：通过技术体系结构概念纠正心理模型
Why robots should be technical: Correcting mental models through technical architecture concepts
论文作者
论文摘要
社会机器人技术的研究通常专注于设计模仿人类行为的机器人。尽管这可能会乍一看增加用户对机器人的满意度和接受，但它并不能自动帮助非专家用户与机器人交互，并且实际上可能会损害他们正确预期机器人功能的能力。我们认为，用户拥有机器人的一种错误的心理模型是混乱的主要来源之一。在这项工作中，我们研究了将机器人系统的技术概念传达给用户的技术概念如何影响其心理模型，以及这如何提高人类机器人互动的质量。我们进行了一项在线研究，并研究了改善用户心理模型的可能方法。我们的结果强调，交流技术概念可以形成改进的心理模型。因此，我们表明有意识地设计表达其功能和局限性的机器人的重要性。
Research in social robotics is commonly focused on designing robots that imitate human behavior. While this might increase a user's satisfaction and acceptance of robots at first glance, it does not automatically aid a non-expert user in naturally interacting with robots, and might actually hurt their ability to correctly anticipate a robot's capabilities. We argue that a faulty mental model, that the user has of the robot, is one of the main sources of confusion. In this work we investigate how communicating technical concepts of robotic systems to users affects their mental models, and how this can increase the quality of human-robot interaction. We conducted an online study and investigated possible ways of improving users' mental models. Our results underline that communicating technical concepts can form an improved mental model. Consequently, we show the importance of consciously designing robots that express their capabilities and limitations.
