On the impact of different types of errors on trust in human-robot interaction Are laboratory-based HRI experiments trustworthy?
On the impact of different types of errors on trust in human-robot interaction Are laboratory-based HRI experiments trustworthy?
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DOI：
10.1075/is.18067.flo
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发表时间：
2019-01-01
影响因子：
1.5
通讯作者：
Lemaignan, Severin
中科院分区：
文献类型：
--
作者：
Flook, Rebecca;Shrinah, Anas;Lemaignan, Severin
信任是人机交互的一个重要维度，在人机交互领域得到了广泛的研究。一个共同的挑战来自于在生态无效的环境中评估信任水平的困难：我们在本文中提出了两个独立的实验室研究，共有160名参与者，在那里我们调查了不同类型的错误对产生的信任的影响，使用信任的行为和主观测量。虽然我们发现错误对报告和观察到的信任水平有（弱）一般影响，但在我们的两项研究中都没有发现错误类型之间的显著差异。我们根据我们的实验协议讨论了这一负面结果，并主张社区转向评估信任的替代方法。
Trust is a key dimension of human-robot interaction (HRI), and has often been studied in the HRI community. A common challenge arises from the difficulty of assessing trust levels in ecologically invalid environments: we present in this paper two independent laboratory studies, totalling 160 participants, where we investigate the impact of different types of errors on resulting trust, using both behavioural and subjective measures of trust. While we found a (weak) general effect of errors on reported and observed level of trust, no significant differences between the type of errors were found in either of our studies. We discuss this negative result in light of our experimental protocols, and argue for the community to move towards alternative methodologies to assess trust.