How users adjust trust in automation
How users adjust trust in automation
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用户如何调整对自动化的信任
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Katja Hölttä
中科院分区：
文献类型：
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作者：
X. J. Yang;C. Wickens;C. Wickens;Katja Hölttä
本研究考察了用户如何调整他们对自动决策辅助工具的信任。结果显示，有效的决策辅助建议会增加，而无效的建议会降低对自动化的信任。信任减少的幅度大于信任增加的幅度。更重要的是，这项研究表明，信任调整并不严格以预先确定的客观标准为基准，即决策辅助的推荐质量。相反，用户自己执行任务的能力和最终任务结果会缓和推荐质量的影响。如果用户更有能力自己完成任务，那么有效的推荐就不那么受欢迎了。如果最终任务绩效没有受到损害，则无效建议受到的惩罚较少，就好像无效建议在一定程度上得到了“宽恕”。
The present study examined how users adjusted their trust towards an automated decision aid. Results revealed that a valid recommendation of the decision aid increases whereas an invalid one reduces trust in automation. The magnitude of trust decrement is greater than that of trust increment. More importantly, this study showed that trust adjustment is not benchmarked strictly against predetermined objective criteria, that is, the decision aid’s recommendation quality. Rather, users’ ability of performing a task themselves and final task outcomes moderate the effects of recommendation quality. A valid recommendation is less appreciated if users are more capable of completing a task by themselves. An invalid recommendation is less penalized if the final task performance is not harmed, as if the invalid recommendation is “forgiven” to a certain degree.