The Consequences of Purposefulness And Human-Likeness on Trust Repair Attempts Made by Self-Driving Vehicles
The Consequences of Purposefulness And Human-Likeness on Trust Repair Attempts Made by Self-Driving Vehicles
复制标题
目的性和人性化对自动驾驶汽车信任修复尝试的影响
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Tyler H. Shaw
中科院分区：
文献类型：
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作者：
Spencer Kohn;Ali Momen;E. Wiese;Yi;Tyler H. Shaw
自主系统正在迅速获得识别自身错误的能力，并利用社会策略来减轻伴随这些错误而来的信任赤字。虽然之前的研究已经对人际关系中信任修复尝试的影响进行了分类，但对于由自动驾驶汽车等自动系统执行类似策略的后果，仍有很多未知之处。虽然我们倾向于将计算机视为社会行动者，但自主系统可能具有更广泛的人类相似性，并且可能受到对其错误的目的的不同解释的影响。本文试图了解这些因素对自动驾驶汽车管理的信任修复尝试有效性的影响，结果强调了在自动驾驶系统设计中考虑人类相似性和目的性的重要性。
Autonomous systems are rapidly gaining the capacity to recognize their own errors and utilize social strategies to mitigate the trust deficit that accompanies those errors. While previous research has catalogued the effects of trust repair attempts in human-human relationships, much remains unknown about the consequences of similar strategies when administered by autonomous systems such as self-driving vehicles. While we tend to treat computers like social actors, autonomous systems may have a wider spectrum of perceived human-likeness and may be subject to different interpretations of the purposefulness of their errors. This paper seeks to understand the consequences of these factors on the effectiveness of trust repair attempts administered by self-driving cars, and the results highlight the importance of considering human-likeness and purposefulness in the design of autonomous systems.