容忍不值得信任的机器人:在机器人信任的隐私场景下研究人类的脆弱性经验

Glenda Hannibal, Anna Dobrosovestnova, A. Weiss
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引用次数: 1

摘要

关注人类在日常生活互动场景中的脆弱性体验仍然是一种新颖的方法。到目前为止,只进行了概念验证的在线研究,为了扩展这项工作,我们提出了一个后续的在线研究。我们更详细地考虑了在与PEPPER机器人协助购买衣服的交互场景中,通过隐私泄露导致的信任侵犯所导致的人类脆弱性体验如何影响信任评级。我们报告了32个调查回应和11个半结构化访谈的结果。我们的研究结果揭示了隐私悖论的存在,这也适用于研究HRI中的信任,这是一种常见的观察结果,描述了人们所陈述的隐私问题与他们保护隐私的行为之间的差异。此外,我们反映出参与者在决定是否再次与机器人互动时只考虑了实用性和娱乐性的附加价值,而没有考虑隐私泄露。我们的结论是,即使人们在日常生活中购物时感到脆弱,他们也可能会容忍一个不值得信任的机器人。
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Tolerating Untrustworthy Robots: Studying Human Vulnerability Experience within a Privacy Scenario for Trust in Robots
Focusing on human experience of vulnerability in everyday life interaction scenarios is still a novel approach. So far, only a proof-of-concept online study has been conducted, and to extend this work, we present a follow-up online study. We consider in more detail how human experience of vulnerability caused by a trust violation through a privacy breach affects trust ratings in an interaction scenario with the PEPPER robot assisting with clothes shopping. We report the results from 32 survey responses and 11 semi-structured interviews. Our findings reveal the existence of the privacy paradox also for studying trust in HRI, which is a common observation describing a discrepancy between the stated privacy concerns by people and their behavior to safeguard it. Moreover, we reflect that participants considered only the added value of utility and entertainment when deciding whether or not to interact with the robot again, but not the privacy breach. We conclude that people might tolerate an untrustworthy robot even when they are feeling vulnerable in the everyday life situation of clothes shopping.
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