With a Little Help of Humans. An Exploratory Study of Delivery Robots Stuck in Snow

With a Little Help of Humans. An Exploratory Study of Delivery Robots Stuck in Snow
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在人类的一点帮助下。

DOI:
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发表时间:
2022
期刊:
IEEE International Symposium on Robot and Human Interactive Communication
影响因子:
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通讯作者:
A. Weiss
A. Weiss
中科院分区:
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文献类型:
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作者:
Anna Dobrosovestnova;Isabel Schwaninger;A. Weiss

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人们帮助机器人的意愿已经在实验室和野外的各种环境中进行了探索。虽然以前的研究依赖于机器人原型,但服务机器人现在已经部署在公共场所。这为人机交互(HRI)学者提供了一个新颖而令人兴奋的机会,可以在其部署的背景下研究机器人技术。在本文中,我们提出了定性的方法和探索性的混合方法(观察,autoethnography,在线内容分析)的研究结果的人自愿帮助商业部署的交付机器人在塔林,爱沙尼亚。基于这三种方法的累积研究结果,我们讨论了如何对机器人表现出自发的帮助,可能有助于观察到的帮助行为的情境因素,以及机器人作为可爱和乐于助人的感知在这些互动中可能发挥的作用。虽然我们的研究结果支持这样一个假设,即人类的帮助是克服服务机器人在不受控制的环境中可能面临的挑战的合理缓解策略,但我们也强调,当商业技术部分依赖于路人来成功完成任务时,考虑道德影响的重要性。
People’s willingness to help robots has been explored in the lab and in the wild in various settings. While previous studies relied on robotic prototypes, service robots are now already deployed in public spaces. This presents a novel and exciting opportunity for human-robot interaction (HRI) scholars to study robotic technologies in the context of their deployment. In this paper, we present the qualitative methodology and the outcomes of an exploratory mixed-methods (observations, autoethnography, online content analysis) study of people voluntarily helping commercially deployed delivery robots in Tallinn, Estonia. Based on the cumulative findings of the three methods, we discuss how spontaneous help towards robots manifested, the situational factors that may have contributed to the observed helping behaviors, and the role that the perceptions of the robots as cute and helpful may have played in these interactions. While our findings support the assumption that human help is a reasonable mitigation strategy to overcoming the challenges service robots may face in uncontrolled environments, we also emphasize the importance of considering the ethical implications when commercial technology relies in part on passersby to succeed in its tasks.
促进跨文化学生团队的跨文化研究:与卡哇伊(可爱)机器人设计相关的案例研究
DOI: 10.1007/978-3-030-49788-0_42
发表时间: 2020
期刊: and Intelligent Environments
影响因子: --
作者:
Berque, D.;Chiba, H.;Ohkura, M.;Sripian, P.;Sugaya, M.
通讯作者: Sugaya, M.