ABSTRACT This study provides an initial experimental investigation of the extent to which well-known precursors of interpersonal trust (ability, benevolence, integrity, or ABI) will manifest when assessing trust between a human and a non-human referent (e.g. an automated aid). An additional motivation was the meta-analytic finding that the ABI model only explains about half of the variation in interpersonal trust. Based on a review of interpersonal and automation trust literatures, two additional precursors to trust – transparency and humanness – were identified and studied as exogenous variables (with A, B, and I analysed as explanatory mediators of their relationships to trust). In our experimental task, users interacted with an automated aid in decision-making scenarios to identify suspected insurgents. Results indicated that perceived humanness of the aid significantly correlated with trust in that aid (r = .364). This relationship was explained in part by perceptions of both ability and benevolence/integrity (unit-weighted average) of the aid; the latter finding suggesting that human-like intentionality attributed to the aid was a factor in automation trust. Perceived transparency also significantly correlated with trust (r = .464) although much of this relationship was explained by ability rather than benevolence/integrity. Aid reliability was also varied across the experiment. Interestingly, the explanatory power of benevolence/integrity increased when the aid’s reliability was lower, again suggesting human-like intentionality matters in automation trust models. Research and design considerations from these findings are noted.

中文翻译：

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将人际信任的前身与人类自动化的信任联系起来：扩展的类型学和探索性实验

摘要这项研究提供了初步的实验研究，用于评估人与人之间的信任（例如自动辅助）之间的信任时，人际信任的先兆（能力，仁慈，正直或ABI）的程度。 。另一个动机是荟萃分析发现，ABI模型仅解释了人际信任变化的大约一半。根据对人际关系和自动化信任文献的回顾，确定并研究了信任的另外两个前体-透明度和人性-作为外生变量（使用A，B和我作为信任关系的解释性中介人）进行了研究。在我们的实验任务中，用户在决策方案中与自动协助进行了交互，以识别可疑的叛乱分子。结果表明，人们对援助的感知程度与对援助的信任度显着相关（r = .364）。这种关系部分是通过对援助的能力和仁慈/完整性（单位加权平均值）的理解来解释的；后者的发现表明，归因于援助的人性意图是自动化信任中的一个因素。知觉的透明度也与信任密切相关（r = .464），尽管这种关系的大部分是由能力而非仁慈/正直来解释的。在整个实验中，援助的可靠性也有所不同。有趣的是，当援助的可靠性较低时，仁慈/正直的解释力会增加，这再次表明在自动化信任模型中类似人的意图的重要性。记录了基于这些发现的研究和设计注意事项。