探索共享自动驾驶汽车的普遍接受因素:人格特征和实验改变信息的影响
Ole Aasvik1,2, Pål Ulleberg2, Marjan Hagenzieker3
1Institute of Transport Economics, Oslo, Norway.
Frontiers in psychology
|April 24, 2025
概括
公众对共享自动驾驶汽车 (SAV) 的接受程度受到人格特征的重大影响,而不是信息因素. 开放性和同意性增加了接受度,而神经病症和社会支配性则减少了接受度,突出了需要量身定制的沟通策略的需要.
科学领域:
- 运输科学 运输科学
- 人与计算机的交互
- 心理学 心理学 心理学
背景情况:
- 共享自动化车辆 (SAV) 为城市移动挑战提供了潜在的解决方案.
- 公共认可对于SAV的采用至关重要,但仍未得到充分研究.
- 了解影响接受的因素,包括信息线索和个人差异,至关重要.
研究的目的:
- 调查信息因素和人格特征对接受SAVs的影响.
- 评估车辆的自主性,座位取向和乘客的种族如何影响SAV的接受.
- 检查五因素模型 (FFM) 人格特征和社会主导导向 (SDO) 在SAV接受中的作用.
主要方法:
- 在挪威对1902名受访者进行了一项实验性调查.
- 参与者接触到有关SAV特征的不同信息条件.
- 人格特征 (FFM,SDO) 和一般接受因子 (GAF) 被测量.
主要成果:
- 没有观察到操纵信息条件对SAV接受的显著影响.
- 人格特征对接受产生了重大影响.
- 较高的开放性和可接受性与SAV接受度有正相关,而较高的神经病症和SDO与负相关.
结论:
- 这项研究中的信息因素并没有显著影响SAV的接受.
- 个人的心理特征,如个性和社会态度,是SAV接受的关键驱动因素.
- 未来的战略应侧重于心理形象和建立信任,以促进SAV的采用.
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