Hansen Abigail, Kiely Kim, Attuquayefio Tuki, Hosking Diane, Regan Michael, Eramudugolla Ranmalee, Ross Lesley A, Anstey Kaarin J
School of Psychology, University of New South Wales, Kensington, NSW, 2052, Australia; Neuroscience Research Australia, 139 Barker St, Randwick, 2031, Australia; University of New South Wales, Ageing Futures Institute, Kensington, NSW, 2052, Australia.
School of Psychology, University of New South Wales, Kensington, NSW, 2052, Australia; University of New South Wales, Ageing Futures Institute, Kensington, NSW, 2052, Australia; School of Health and Society and School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, Australia.
Appl Ergon. 2025 May;125:104474. doi: 10.1016/j.apergo.2025.104474. Epub 2025 Feb 1.
Older adults' road safety is a concern given the ageing population and increasing numbers of licensed older drivers. Advanced Driver-Assistance Systems (ADAS) are designed to improve safety, however little is known about the relationship between ADAS use and its trust and acceptance in older adults. The purpose of this study was to assesses an instrument of older driver acceptance of and trust in ADAS. A survey distributed to 1008 older Australian drivers (M = 72.1, SD = 6.94) found there was an overwhelmingly positive attitude towards ADAS, however trust in the systems were low and drivers had concerns with privacy, safety and failure of the systems. The Partial Automation Acceptance Scale was validated, producing a four-factor model measuring attitudes towards ADAS, attitudes towards technology, trust and perceptions on risk. Multiple regression showed three of the four factors predict use of ADAS, providing preliminary evidence of the validity and reliability of the scale.
鉴于人口老龄化以及持有驾照的老年驾驶员数量不断增加，老年人的道路安全成为一个备受关注的问题。先进驾驶辅助系统（ADAS）旨在提高安全性，然而，对于ADAS的使用与其在老年人中的信任度和接受度之间的关系，我们知之甚少。本研究的目的是评估一种衡量老年驾驶员对ADAS的接受度和信任度的工具。一项针对1008名澳大利亚老年驾驶员（M = 72.1，SD = 6.94）的调查发现，他们对ADAS的态度总体上是积极的，然而对这些系统的信任度较低，并且驾驶员对系统的隐私、安全和故障存在担忧。部分自动化接受量表得到了验证，产生了一个四因素模型，用于衡量对ADAS的态度、对技术的态度、信任度以及对风险的认知。多元回归分析表明，四个因素中的三个因素可以预测ADAS的使用情况，这为该量表的有效性和可靠性提供了初步证据。
