辅助系统的可靠性调节了人类操作员的控制感和可接受性
Quentin Vantrepotte1,2, Valérian Chambon3, Bruno Berberian4
1Institut Jean Nicod, Département d'Études Cognitives, École Normale Supérieure, CNRS, PSL University, Paris, France.
Scientific reports
|September 2, 2023
概括
了解自动化系统是人类控制的关键. 系统可解释性增强了代理感 (SoA),而可靠性直接影响了可接受性,改善了人机交互.
科学领域:
- 人与计算机的交互
- 认知科学 认知科学
- 自动化研究 自动化研究
背景情况:
- 现代技术要求人类与复杂的自主系统进行交互.
- 了解影响人类操作员控制的因素对于有效的人与系统交互至关重要.
- 代理感 (SoA) 和感知可接受性是评估人与系统交互的关键指标.
研究的目的:
- 调查自动化系统属性,特别是可靠性和可解释性,如何影响人类操作员的代理感 (SoA).
- 检查系统可解释性对参与者在决策过程中调节控制资源的能力的影响.
- 确定系统可靠性,可解释性和自动化系统选择的感知可接受性之间的关系.
主要方法:
- 为与自动化系统互动的参与者设计了一个决策任务.
- 该研究操纵了系统可靠性和可解释性作为独立变量.
- 测量了参与者的代理感 (SoA) 和对系统选择的感知接受度.
主要成果:
- 增加系统可解释性导致更高的代理意识 (SoA).
- 系统可解释性影响了参与者对控制资源的调节,SoA仅在"解释"条件下变化可靠性.
- 更高的系统可靠性直接与更高的系统感知可接受性相关.
结论:
- 系统可解释性是提高人类操作员在人机交互中的代理感的关键因素.
- 可解释性和可靠性之间的相互作用影响了操作员如何感知控制并与自动化系统进行交互.
- 设计更可接受和以用户为中心的自动化技术需要关注代理和透明度.
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