In Storage, Yet on Display : An Empirical Investigation of Robots’ Value as Social Signals
In Storage, Yet on Display : An Empirical Investigation of Robots’ Value as Social Signals
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存储中，但仍在展示：机器人作为社交信号的价值的实证研究
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发表时间：
2020
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通讯作者：
Matthew I. Beane
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作者：
Matthew I. Beane
这篇论文表明，人类将机器人系统视为一种信号——昂贵的、可见的承诺，可以确保获得首选资源。这与人力资源研究所的研究、设计、工程和部署形成鲜明对比，后者关注的是机器人的工具价值——即设计和与机器人互动如何产生或多或少的生产力。通过多年来对一家教学医院“失败”的远程机器人部署的研究，这篇论文表明，机器人的信号价值可能大大超过——甚至违背——它们可能通过使用提供的任何实际效用。这一分析进一步表明，与非技术组织信号不同，机器人的信号价值高度取决于其使用的可观察性。考虑到机器人在复杂社会系统中的信号价值，如组织承诺改进机器人系统的开发和部署技术，以及改进关于人机交互的预测。CCS概念•HRI理论，概念和模型•人种学研究•HRI Acm参考格式的实证研究：马修I.比恩。2020。在存储中，在展示中：机器人作为社会信号价值的实证调查。2020年ACM/IEEE人机交互国际会议论文集（HRI ' 20）， 2020年3月23-26日，英国剑桥。ACM，纽约，美国，9页。https://doi.org/10.1145/3319502.3374775
This paper suggests that humans value robotic systems as signals – costly, visible commitments that can secure access to preferred resources. This contrasts with HRI research, design, engineering and deployment, which have focused on robots’ instrumental value – namely how designing and interacting with them may produce more or less productivity. Drawing on a multiyear ethnography of a “failed” robotic telepresence deployment in a teaching hospital, this paper shows that robots’ signaling value can significantly outweigh – and even contravene – any practical utility that they may provide through use. This analysis further suggests that – unlike nontechnological organizational signals – robots’ signaling value is highly contingent on the observability of their use. Considering robots’ signaling value in complex social systems such as organizations promises improved robotic systems development and deployment techniques and improved prediction regarding human-robot interaction. CCS CONCEPTS • HRI theory, concepts and models • Ethnographic studies • Empirical studies in HRI Acm Reference Format: Matthew I. Beane. 2020. In Storage, Yet on Display: An Empirical Investigation of Robots’ Value as Social Signals. In Proceedings of 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI’20), March 23–26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374775