检查个性对用户接受条件自动化车辆的影响
S Nordhoff1,2, E Lehtonen3
1Department Transport & Planning, Delft University of Technology, Delft, The Netherlands. snordhoff@ucdavis.edu.
Scientific reports
|January 8, 2025
概括
人格特征对自动驾驶汽车的接受程度的影响很小. 虽然技术接受和使用的统一理论 (UTAUT2) 是有用的,但专注于个人的个性可能不会有效地促进对自动驾驶汽车的信任和采用.
科学领域:
- 人与计算机的交互
- 心理学 心理学 心理学
- 运输科学 运输科学
背景情况:
- 自动驾驶汽车 (AVA) 验收研究正在扩大,但人格特征对自动驾驶汽车 (AV) 态度的影响仍然不足.
- 人格是技术采用的一个关键因素,使其在AVA中的作用至关重要.
- 现有的模型缺乏与全面的人格测量措施的整合.
研究的目的:
- 调查五大个性特征对使用条件自动化车辆 (CondAVs) 的行为意图的影响.
- 将五大个性特征纳入技术接受和使用统一理论 (UTAUT2) 框架.
- 检查个性特征对不同文化背景的CondAV接受的直接和间接影响.
主要方法:
- 在9个国家对9,339名受访者进行了一项大规模的问卷调查.
- 扩展UTAUT2模型,包括信任,驾驶员参与,以及五大个性特征 (开放,良心,外向,愉悦,神经病).
- 结构方程建模 (SEM) 用于分析构造和行为意图之间的直接和间接关系.
主要成果:
- 社会影响,信任和绩效预期显著积极影响了使用CondAVs的行为意图.
- 五大个性特征显示了一些关于它们对UTAUT2构造的影响的支持假设,但效果大小小小 (通常<0.25).
- 跨国分析揭示了个人个性对AVA的作用的细微差别.
结论:
- UTAUT2模型有效评估自动驾驶汽车的成功,并确定CondAV接受的关键驱动因素.
- 虽然个性特征会影响人们的接受度,但它们的小效果尺寸表明,针对性设计策略的实际价值有限.
- 围绕个人的个性设计自动驾驶汽车可能是一个无效的方法来增强信任和广泛接受.
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