在内部和外部因素的扩展下,阐明用户自动驾驶系统偏好机制
1School of Fine Arts, Nanjing Normal University, Nanjing, 210023, China. 211601009@njnu.edu.cn.
Scientific reports
|August 17, 2025
概括
驾驶习惯是持续使用辅助和无人驾驶系统的关键. 感知到的重要性和遗憾也影响用户采用这些先进的汽车技术.
科学领域:
- 人与计算机的交互
- 汽车技术 汽车技术
- 行为科学 行为科学
背景情况:
- 了解用户对先进驾驶系统的采用对于其成功集成至关重要.
- 现有的模型,如技术接受模型,需要改进以捕捉微妙的用户行为.
- 习惯和遗憾理论为长期技术使用提供了有价值的观点.
研究的目的:
- 开发和测试用户对辅助和无人驾驶系统的持续使用意向的综合模型.
- 在不同级别的驾驶自动化中对影响持续使用的因素进行比较分析.
- 将习惯理论和遗憾理论整合到技术接受模型中,以更深入地了解用户行为.
主要方法:
- 开发了一个扩展的技术接受模型,结合了习惯和遗憾理论.
- 通过在线问卷调查从驾驶系统的用户收集的数据.
- 结构方程建模 (SEM) 用于数据分析和模型验证.
主要成果:
- 感知的重要性和驾驶习惯显著影响辅助驾驶系统的持续使用意图.
- 在无人驾驶系统中,驾驶习惯对于持续使用意图至关重要.
- 后悔经验通过两种系统的驾驶习惯间接影响持续使用意图.
结论:
- 该研究提供了一个强大的理论框架,以了解用户采用先进的驾驶技术.
- 调查结果为系统开发人员和营销人员提供了实用的见解,以提高用户参与度和促进采用.
- 未来的研究应该探索控制变量和细分的用户群体,以更定制的策略.
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