解密自动化透明度:透明度的好处是不是根据是否提供决策建议而有所不同?
Isabella Gegoff1, Monica Tatasciore1, Vanessa K Bowden1
1The University of Western Australia, Australia.
Human factors
|February 3, 2025
概括
与自动化信息一起提供决策建议可以提高决策准确性和速度. 然而,这种组合可能会降低用户评估信息可靠性的能力,强调需要谨慎设计.
科学领域:
- 人与计算机的交互
- 自动化系统 自动化系统
- 认知心理学 认知心理学
背景情况:
- 自动化透明度至关重要,但之前的研究经常将额外的信息与决策建议相结合.
- 这种组合可能会减少运营商代理,增加自动化偏差.
- 将信息和建议分开,可以加强无辅助的决策.
研究的目的:
- 通过实验分离额外信息和决策建议对自动化透明度的影响.
- 评估对决策准确性,时间,工作量,信任和系统可用性的影响.
- 为设计有效,透明的自动化系统提供信息.
主要方法:
- 参与者为任务选择了最佳的无人驾驶车辆 (UVs).
- 操纵额外显示信息的水平 (没有,中等,高) 和存在/不存在的决策建议.
- 建议和信息并不总是准确的.
主要成果:
- 决策建议提高了准确性和速度,提高了系统的可用性.
- 建议的规定降低了歧视信息准确性的能力.
- 增加的信息提高了决策速度,信任和可用性,以及当建议存在时的准确性.
结论:
- 当没有建议时,用户会更仔细地审查额外的信息.
- 额外的信息仅在与建议相结合时,才能提高性能.
- 了解信息和建议之间的相互作用是设计透明的自动化系统的关键.
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