Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX, USA.
Wm Michael Barnes '64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX, USA.
Appl Ergon. 2023 Nov;113:104080. doi: 10.1016/j.apergo.2023.104080. Epub 2023 Jul 5.
The population of older Americans with cognitive impairments, especially memory loss, is growing. Autonomous vehicles (AVs) have the potential to improve the mobility of older adults with cognitive impairment; however, there are still concerns regarding AVs' usability and accessibility in this population. Study objectives were to (1) better understand the needs and requirements of older adults with mild and moderate cognitive impairments regarding AVs, and (2) create a prototype for a holistic, user-friendly interface for AV interactions. An initial (Generation 1) prototype was designed based on the literature and usability principles. Based on the findings of phone interviews and focus group meetings with older adults and caregivers (n = 23), an enhanced interface (Generation 2) was developed. This generation 2 prototype has the potential to reduce the mental workload and anxiety of older adults in their interactions with AVs and can inform the design of future in-vehicle information systems for older adults.
认知障碍（尤其是记忆力减退）的美国老年人口数量正在增长。自动驾驶汽车（AV）有可能改善认知障碍老年人的行动能力；然而，人们仍然担心该人群对 AV 的可用性和可及性。研究目的是：（1）更好地了解轻度和中度认知障碍的老年人对 AV 的需求和要求；（2）为 AV 交互创建一个整体的、用户友好的界面原型。根据文献和可用性原则，设计了一个初始（第 1 代）原型。基于对老年人和护理人员（n=23）的电话访谈和焦点小组会议的结果，开发了一个增强型界面（第 2 代）。这个第 2 代原型有潜力减少老年人在与 AV 交互时的心理工作量和焦虑，并且可以为未来为老年人设计的车载信息系统提供信息。
