人格在对自动驾驶汽车的担忧中扮演主导角色
Márta Volosin1,2, Martin Kálnay1,3, Ádám Bánffi1
1Institute of Psychology, University of Szeged, Szeged, Hungary.
PloS one
|June 5, 2024
概括
心理因素,而不是人口统计,显著预测自动驾驶汽车 (AV) 的采用. 乐观和技术态度等人格特质是AV接受和关注的关键驱动因素.
科学领域:
- 心理学 心理学 心理学
- 人与计算机的交互
- 运输科学 运输科学
背景情况:
- 自动驾驶汽车 (AV) 的发展正在迅速推进.
- 心理障碍,而不是技术限制,是AV采用的主要障碍.
- 了解用户接受对于成功的AV集成至关重要.
研究的目的:
- 在匈牙利的样本中,确定对自动驾驶汽车 (AV) 态度的人口统计和人格预测因素.
- 确定人口统计因素与人格特征对AV接受的相对影响.
- 探索与渴望收养和对AVs的担忧相关的特定人格维度.
主要方法:
- 在匈牙利,对328名参与者进行了在线调查.
- 数据收集采用了方便和雪球采样方法.
- 采用三级层次的层次回归模型来分析人口统计学,一般人格和态度类型的人格因素.
主要成果:
- 当包括人格维度时,人口学变量 (年龄,性别,教育) 失去了对AV态度的预测能力.
- 对技术的积极态度和对创新的乐观态度正面预测了AV采用热情.
- 负面态度,高技术依赖,低感官感觉寻找和高良心与更大的AV担忧有关.
结论:
- 自动驾驶汽车的接受是一个复杂的,多维的结构.
- 人格特征似乎比人口因素更强烈地预测AV接受.
- 有针对性的心理洞察对于克服采用障碍和促进AV整合至关重要.
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