机器在社会道路上遇到人类:风险影响
1Center for Psychological Sciences, Zhejiang University, Hangzhou, China.
Risk analysis : an official publication of the Society for Risk Analysis
|November 16, 2023
概括
在混合交通中,人与自动驾驶汽车 (AV) 的互动带来风险. 对比的心理模型显示,由于复杂的社会动态和对人类驾驶员的潜在负面影响,自动驾驶汽车可能不会本质上提高安全性.
科学领域:
- 交通安全 交通安全 交通安全
- 人与计算机的互动.
- 自动化车辆的社会动态
背景情况:
- 道路将很快出现人类驾驶员和自动驾驶汽车 (AV),创造混合交通环境.
- 当前的安全评估往往忽视了人类与自动驾驶汽车社会互动的复杂性,可能高估了安全效益.
研究的目的:
- 开发人类和自动驾驶汽车司机的心理模型,以了解混合交通风险.
- 分析人类驾驶员和自动驾驶汽车之间的社会互动及其安全影响.
主要方法:
- 两个对比的心理模型的发展:MM I (AVs作为优越的) 和MM II (人类-AV不相容).
- 使用调查,驾驶模拟器,测试轨道,道路观测和自动驾驶事故分析进行的经验研究的审查.
主要成果:
- 心理模型I预测了安全效益,但经验证据支持模型II,强调了风险.
- 观察到的风险包括人类对自动驾驶汽车的侵略,自动驾驶汽车的剥削,负面的同行影响以及混合交通中驾驶员挑战的增加.
结论:
- 在混合交通中,人机交互带来了独特的和新兴的风险.
- 解决这些社会动态对于减轻潜在的负面结果和确保道路安全至关重要.
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