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首页> 外文期刊>Frontiers in Psychology >Attitudes Toward Four Levels of Self-Driving Technology Among Elderly Drivers
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Attitudes Toward Four Levels of Self-Driving Technology Among Elderly Drivers

机译:老年司机中四个自动驾驶技术的态度

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Automatization and autonomous vehicles can drastically improve elderly drivers' safety and mobility, with lower costs to the driver and the environment. While autonomous vehicle technology is developing rapidly, much less attention and resources have been devoted to understanding the acceptance, attitudes, and preferences of vehicle automatization among driver groups, such as the elderly. In this study, 236 elderly drivers (≥65 years) evaluated four vehicles representing SAE levels 2–5 in terms of safety, trustworthiness, enjoyment, reliability, comfort, ease of use, and attractiveness, as well as reporting preferences for vehicles employing each of the four levels of automation. The results of a repeated-measures ANOVA showed that the elderly drivers rated the SAE level 2 vehicle highest and the fully automated vehicle (SAE 5) lowest across all attributes. The preference for the vehicle declined as a function of increasing automatization. The seven attributes formed an internally coherent “attitude to automatization” scale, a strong correlate of vehicle preference. Age or annual mileage were not related to attitudes or preferences for automated vehicles. The current study shows that elderly drivers' attitudes toward automatization should be studied further, and these results should be taken into account when developing automated vehicles. The full potential of automatization may not be realized if elderly drivers are ignored.
机译:自动化和自动车辆可以大大提高老年驾驶员的安全和移动性,驾驶员和环境的成本较低。虽然自动车辆技术正在迅速发展,但在驾驶员组等老年人之间的验收,态度和偏好中,致力于了解驾驶员群体之间的验收,态度和偏好。在这项研究中,236名老年人司机(≥65岁)在安全性,可信度,享受,可靠性,舒适性,舒适性,舒适性,吸引力,吸引力,吸引力,以及对所用的车辆的偏好,评估了四个代表SAE水平2-5的车辆。以及对所有的车辆的偏好四个自动化级别。反复措施Anova的结果表明,老年人驾驶员在所有属性中均额定SAE等级2车辆最高和全自动车辆(SAE 5)最低。作为增加自动化的函数,车辆的偏好下降。七个属性形成了内部相干的“自动化态度”量表,力量偏好的强烈关联。年龄或年龄的里程与自动车辆的态度或偏好无关。目前的研究表明,应进一步研究老年司机对自动化的态度,在开发自动车辆时应考虑这些结果。如果忽略老年司机,可能无法实现自动化的全部潜力。

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