Construct Validity and Test-Retest Reliability of the Automated Vehicle User Perception Survey.
Construct Validity and Test-Retest Reliability of the Automated Vehicle User Perception Survey.
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DOI：
10.3389/fpsyg.2021.626791
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发表时间：
2021
影响因子：
3.8
通讯作者：
Sisiopiku V
中科院分区：
文献类型：
--
作者：
Mason J;Classen S;Wersal J;Sisiopiku V
全自动驾驶汽车（AV）有望提供许多社会效益，包括减少道路死亡人数。然而，我们不确定个人的看法将如何影响他们接受和采用自动驾驶汽车的能力。28项自动驾驶汽车用户感知调查（AVUPS）是一个视觉模拟量表，以前构建，具有既定的面孔和内容效度，以评估个人对自动驾驶汽车的看法。在这项研究中，我们通过探索性因素分析和随后的Mokken量表分析来检验结构效度。然后，通过Cronbach α（α）评估内部一致性，通过斯皮尔曼rho（ρ）和组内相关系数（ICC）评估2周重测信度。Mokken量表分析产生了一个精炼的20项AVUPS和三个Mokken分量表，评估成年人对AV的看法的特定领域：（a）使用意图;（B）感知障碍;（c）幸福感。Mokken量表分析表明，所有项目的同质性系数（H）超过0.3，表明项目反映了一个单一的潜在变量。AVUPS具有较强的Mokken量表（Hscale = 0.51），具有良好的内部一致性（α = 0.95）和重测信度（ρ = 0.76，ICC = 0.95）。同样，三个Mokken分量表的范围从中等到强（范围H量表= 0.47-0.66），具有良好的内部一致性（范围α = 0.84-0.94）和重测信度（范围ICC = 0.84-0.93）。AVUPS和AV接受度的三个Mokken分量表在居住在美国的成年人的中等样本量（N = 312）中得到了验证。使用Amazon Mechanical Turk参与者的子集（N = 84）建立了为期两周的重测信度。AVUPS或三个分量表的任何组合可用于有效和可靠地评估成人暴露于AV之前和之后的感知。AVUPS可用于量化成人对完全AV的接受程度。
Fully automated vehicles (AVs) hold promise toward providing numerous societal benefits including reducing road fatalities. However, we are uncertain about how individuals’ perceptions will influence their ability to accept and adopt AVs. The 28-item Automated Vehicle User Perception Survey (AVUPS) is a visual analog scale that was previously constructed, with established face and content validity, to assess individuals’ perceptions of AVs. In this study, we examined construct validity, via exploratory factor analysis and subsequent Mokken scale analyses. Next, internal consistency was assessed via Cronbach’s alpha (α) and 2-week test–retest reliability was assessed via Spearman’s rho (ρ) and intraclass correlation coefficient (ICC). The Mokken scale analyses resulted in a refined 20-item AVUPS and three Mokken subscales assessing specific domains of adults’ perceptions of AVs: (a) Intention to use; (b) perceived barriers; and (c) well-being. The Mokken scale analysis showed that all item-coefficients of homogeneity (H) exceeded 0.3, indicating that the items reflect a single latent variable. The AVUPS indicated a strong Mokken scale (Hscale = 0.51) with excellent internal consistency (α = 0.95) and test–retest reliability (ρ = 0.76, ICC = 0.95). Similarly, the three Mokken subscales ranged from moderate to strong (range Hscale = 0.47–0.66) and had excellent internal consistency (range α = 0.84–0.94) and test–retest reliability (range ICC = 0.84–0.93). The AVUPS and three Mokken subscales of AV acceptance were validated in a moderate sample size (N = 312) of adults living in the United States. Two-week test–retest reliability was established using a subset of Amazon Mechanical Turk participants (N = 84). The AVUPS, or any combination of the three subscales, can be used to validly and reliably assess adults’ perceptions before and after being exposed to AVs. The AVUPS can be used to quantify adults’ acceptance of fully AVs.
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