Factors Influencing Trust in Advanced Driver Assistance Systems for Current Users

Chelsea A. DeGuzman, Birsen Donmez
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Abstract

Understanding the factors influencing trust in advanced driver assistance systems (ADAS) may help inform training and education to support appropriate use. We surveyed 369 drivers with experience using both adaptive cruise control (ACC) and lane keeping assist (LKA). The survey included questions to assess trust in ADAS, along with objective knowledge about ADAS limitations, self-reported understanding of ADAS, familiarity with technology, propensity to trust technology, and demographics. Regression results showed that self-reported understanding, but not objective knowledge, predicted trust in ADAS. Self-reported understanding was not correlated with objective knowledge; overall, participants were not aware of many of the system limitations included in the survey. Propensity to trust technology was also a significant predictor of trust. Training/educational materials could be designed to inform drivers of potential gaps in their understanding and adjust expectations of ADAS to support appropriate trust for those with a high propensity to trust technology.
影响当前用户对先进驾驶辅助系统信任的因素
了解影响人们对高级驾驶辅助系统(ADAS)信任的因素可能有助于为培训和教育提供信息,以支持正确使用ADAS。我们调查了369名有使用自适应巡航控制(ACC)和车道保持辅助(LKA)经验的司机。该调查包括评估对ADAS的信任的问题,以及对ADAS局限性的客观认识,对ADAS的自我报告理解,对技术的熟悉程度,信任技术的倾向和人口统计数据。回归结果显示,自我报告的理解,而不是客观知识,预测信任的ADAS。自我报告的理解与客观知识不相关;总的来说,参与者没有意识到调查中包含的许多系统限制。信任技术倾向亦是信任的显著预测因子。可以设计培训/教育材料,使驾驶员了解他们在理解方面的潜在差距,并调整对ADAS的期望,以支持对高度信任技术倾向的人的适当信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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