Robots in the Wild
Robots in the Wild
复制标题
野外机器人
DOI：
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发表时间：
2018
影响因子：
5.1
通讯作者：
Pamela J. Hinds
中科院分区：
文献类型：
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作者：
Malte F. Jung;Pamela J. Hinds
迄今为止，人机交互（HRI）的研究一直由实验室研究主导，主要研究单个人与单个机器人的交互。这项研究有助于建立对人类与机器人互动的基本理解，具体的设计选择如何影响与机器人的互动，以及如何使用新的机制或计算工具来改善HRI。然而，这一不断增长的工作的主要焦点与机器人越来越多地被置于复杂的社会环境形成鲜明对比。机器学习和远程机器人技术的发展，以及顺应性和社交机器人技术的发展，使更多的机器人更接近甚至直接与人接触。机器人，特别是移动的自主机器人，现在被部署在不同的工作环境和“社交机器人”中，如Jibo、Cozmo、库里和M.A. X。正日益成为家用技术的斯台普斯。这些机器人在日常环境中与人们在各种任务和情况下进行互动，但我们的研究反映了HRI研究几乎只能在实验室环境中进行的时代。因此，我们对人们在复杂的社会环境中如何应对机器人以及机器人如何影响社会动态的理解有限。特别是，我们的理论反映了一个过于简单化的HRI的看法。在这些复杂的环境中处理HRI的研究，并建立关于HRI在野外的预期的可推广的理论的时机已经成熟。虽然在受控实验室环境中还有很多东西要学，而且它们应该继续成为HRI研究的支柱，但我们认为，更多的HRI研究人员需要冒险进入
Human-robot interaction (HRI) research to date has been dominated by laboratory studies, largely examining a single human interacting with a single robot. This research has helped establish a fundamental understanding about people as they interact with robots, how specific design choices affect interactions with robots, and how novel mechanisms or computational tools can be used to improve HRI. The predominant focus of this growing body of work, however, stands in stark contrast to the complex social contexts in which robots are increasingly placed. Developments in machine learning and tele-robotics, as well as compliant and social robotics, have occasioned more robots in closer proximity and even direct contact with people. Robots, especially mobile autonomous robots, are now deployed across work contexts and “sociable robots” such as Jibo, Cozmo, Kuri, and M.A.X. are increasingly becoming staples of household technology. These robots interact with people in everyday contexts across a wide range of tasks and situations, yet our research reflects a time when studies of HRI were possible almost exclusively only in laboratory settings. As a result, we have a limited understanding of how people will respond to robots in complex social settings and how robots will affect social dynamics in situ. In particular, our theories reflect an oversimplified view of HRI. The time is ripe for studies that tackle HRI in these complex settings and build generalizable theories about what to expect of HRI in the wild. Although there is much to be learned in controlled laboratory settings and they should continue to be a mainstay of HRI studies, we argue that more HRI researchers need to venture into the