The increase in the number of older adult drivers in developed countries has raised safety concerns due to the decline in their sensory, motor, perceptual, and cognitive abilities which can limit their driving capabilities. Their driving safety could be enhanced by the use of modern Automated Driver Assistance Systems (ADASs) and might totally resolved by full driving automation. However, the acceptance of these technologies by older adult drivers is not yet well understood. Thus, this study investigated older adult drivers’ intention to use six ADASs and full driving automation through two questionnaires with 115 and 132 participants respectively in Rhode Island, USA. A four-dimensional model referred to as the USEA model was used for exploring older adult drivers’ technology acceptance. The USEA model included perceived usefulness, perceived safety, perceived ease of use, and perceived anxiety. Path Analysis was applied to evaluate the proposed model. The results of this study identified the important factors in older adult drivers’ intention to use ADASs and full driving automation, which could assist stakeholders in improving technologies for use by older drivers.

发达国家中成年驾驶员的数量增加，由于其感觉，运动，感知和认知能力的下降会限制他们的驾驶能力，因此引起了人们对安全性的关注。通过使用现代自动驾驶辅助系统（ADAS）可以提高其驾驶安全性，并且可以通过完全驾驶自动化完全解决他们的驾驶安全问题。然而，对于年长的驾驶员对这些技术的接受程度还没有被很好地理解。因此，本研究通过分别在美国罗得岛州的115名和132名参与者的两份问卷调查了成年驾驶员使用六个ADAS和全面驾驶自动化的意图。使用了一个称为USEA模型的四维模型来探索老年驾驶员的技术接受度。USEA模型包括有用的感知，感觉到的安全性，感觉到的易用性和感觉到的焦虑。应用路径分析来评估所提出的模型。这项研究的结果确定了老年人驾驶者打算使用ADAS和全面驾驶自动化的重要因素，这可以帮助利益相关者改进老年人驾驶者使用的技术。