Fully automated vehicles hold promise for providing numerous societal benefits, including drastically reducing road fatalities. However, we know little about the adoption practices of individuals related to automated vehicles. To assess transportation users’ perceptions of automated vehicles, a 40-item survey was designed using guidance from several technology acceptance models. A focus group was used to assess face validity to ensure the items appeared credible and understandable to the layperson. Seven subject-matter experts rated items for their relevance to provide a content validity index for each item and for the overall survey. The final scale had a scale content validity index rating of 1.00, with 32 of 32 items rated greater than or equal to 0.86 and a scale content validity index of 0.96 (mean content validity index of all items), indicating acceptable content validity. The approach adopted in this study ensured the face and content validity of the survey and enhanced the items’ relevance, concision, and clarity. Future validation is required to assess scale reliability and validity. The paper provides an overview of models used for determining acceptance and adoption of technology and describes in detail the methodology used to establish face and content validity of the questionnaire survey developed for assessing adults’ perceptions of automated vehicles.

全自动汽车有望带来许多社会效益，包括大大减少道路上的死亡人数。但是，我们对自动驾驶汽车相关人员的采用实践知之甚少。为了评估运输用户对自动驾驶汽车的看法，在几种技术验收模型的指导下设计了一项40项调查。一个焦点小组被用来评估面部表情的有效性，以确保这些物品对外行人看来是可信的和可理解的。七名主题专家对项目的相关性进行了评分，以提供每个项目和整体调查的内容有效性指标。最终量表的量表内容效度指标等级为1.00，32个项目中有32个项目的得分大于或等于0.86，量表内容效度指标为0.96（所有项目的均值效度指标），表示可接受的内容有效性。本研究采用的方法确保了调查的表面和内容有效性，并增强了项目的相关性，简洁性和清晰度。需要将来的验证来评估秤的可靠性和有效性。本文概述了用于确定技术接受和采用的模型，并详细描述了用于建立问卷调查的面孔和内容有效性的方法，该问卷旨在评估成年人对自动驾驶汽车的看法。