通过年龄和教育敏感的模拟干预提升自动驾驶汽车接受度：一项实验研究
Enhancing autonomous vehicle acceptance with age and education sensitive simulation interventions: An experimental trial
AI总结：
本研究通过在线实验（N=799德国居民）发现，基于视频的模拟第一人称驾驶体验可提升自动驾驶汽车（CAVs）接受度（尤其老年人），但信息定制化对不同年龄和教育程度人群影响差异显著，为提升CAVs接受度提供了人群敏感的干预思路。
摘要：
熟悉度原则认为接受度会随接触增加而提升，这一点此前已在网联自动驾驶汽车（CAVs）的实车和模拟体验中得到验证。本研究调查了基于视频的模拟第一人称驾驶对CAV接受度的影响，以及信息定制化的影响，特别关注老年人和教育程度较低人群的接受度。对799名德国居民的在线实验发现，模拟体验提升了使用意愿、易用性等反应变量的接受度，尤其在老年人中更为明显。然而，定制导航信息的机会降低了老年人和大学学历人群的接受度，却提高了年轻人和低教育程度人群的接受度。
英文摘要：
The familiarity principle posits that acceptance increases with exposure, which has previously been shown with in vivo and simulated experiences with connected and autonomous vehicles (CAVs). We investigate the impact of a simulated video-based first-person drive on CAV acceptance, as well as the impact of information customization, with a particular focus on acceptance by older individuals and those with lower education. Findings from an online experiment with N=799 German residents reveal that the simulated experience improved acceptance across response variables such as intention to use and ease of use, particularly among older individuals. However, the opportunity to customize navigation information decreased acceptance of older individuals and those with university degrees and increased acceptance for younger individuals and those with lower educational levels.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
