影响消费者愿意使用人工智能驱动的自动出租车的因素
Tingyu Liu1,2, Yizhou Zhang3, Mengze Zhang1
1Department of Economics, Sejong University, Seoul 05006, Republic of Korea.
Behavioral sciences (Basel, Switzerland)
|January 8, 2025
概括
消费者对自动驾驶出租车的接受是由感知到的实用性和易用性驱动的,受态度,规范和成本效益的影响. 感知到的风险适度了这种接受,突出了对机器人出租车的安全和营销策略的需求.
科学领域:
- 运输技术 运输技术 运输技术
- 人与计算机的互动.
- 消费者行为 消费者行为
背景情况:
- 自动驾驶技术,以特斯拉的机器人出租车为例,正在改变交通.
- 了解消费者采用自动驾驶出租车的驱动因素对于市场整合至关重要.
研究的目的:
- 开发一个结构方程模型 (SEM),分析影响消费者使用自动驾驶出租车意图的因素.
- 用外部变量扩展技术接受模型 (TAM) 和计划行为理论 (TPB).
主要方法:
- 使用结构方程模型 (SEM) 分析了对427个有效答案的调查.
- 该模型结合了态度,主观规范,交通效率,感知成本效益,感知实用性,感知易用性和感知风险.
主要成果:
- 态度,主观规范和感知到的成本效益正面影响感知到的实用性和易用性.
- 感知到的实用性和易用性是消费者使用自动驾驶出租车意图的主要驱动因素.
- 感知到的风险显著缓解了感知到的有用性/易用性和使用意图之间的关系.
结论:
- 提高接受度的策略包括营销,优化用户体验和降低风险.
- 强调安全性,保险性,便利性和经济效益是促进自动驾驶出租车普及的关键.
- 解决感知风险对于成功接受自主运输技术至关重要.
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