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'The robot may not notice my discomfort' – Examining the Experience of Vulnerability for Trust in Human-Robot Interaction

机译:“机器人可能不会注意到我的不适” - 检查漏洞的经验,以信任人机互动

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Ensuring trust in human-robot interaction (HRI) is considered essential for widespread use of robots in society and everyday life. While the majority of studies use game-based and high-risk scenarios with low familiarity to gain a deeper understanding of human trust in robots, scenarios with more subtle trust violations that could happen in everyday life situations are less often considered. In this paper, we present a theory-driven approach to studying the situated trust in HRI by focusing on the experience of vulnerability. Focusing on vulnerability not only challenges previous work on trust in HRI from a theoretical perspective, but is also useful for guiding empirical investigations. As a first proof-of-concept study, we conducted an interactive online survey that demonstrates that it is possible to measure human experience of vulnerability in the ordinary, mundane, and familiar situation of clothes shopping. We conclude that the inclusion of subtle trust violation scenarios occurring in the everyday life situation of clothes shopping enables a better understanding of situated trust in HRI, which is of special importance when considering more near-future applications of robots.
机译:确保对人机互动(HRI)的信任被认为是在社会和日常生活中广泛使用机器人的必不可少的。虽然大多数研究使用基于游戏和高风险的情景,但更熟悉的是对机器人的人类信任更深入了解,具有更加微妙的信任违规行为,可能会在日常生活情况下发生更加微妙的信任违规。在本文中,我们提出了一种理论驱动方法,通过专注于脆弱的经验来研究HRI的位于HRI的信任。专注于脆弱性,不仅挑战了从理论观点来到HRI的信任工作,而且对指导实证调查也很有用。作为第一个概念证明研究,我们进行了一个互动的在线调查,表明它可以衡量普通,平凡,熟悉的衣服购物情况的脆弱性的人类体验。我们得出结论,在衣服购物的日常生活情况下纳入暗示信任违规情景,可以更好地了解HRI的位于HRI的信任,这在考虑更多近期的机器人应用时具有特殊重要性。

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