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Visualizing Visual Adaptation
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可适应的自动化透明度:人类是否应该提供灵活性来自行选择透明度信息?
Monica Tatasciore1, Laura Bennett1, Vanessa K Bowden1
1The University of Western Australia, Australia.
Human factors
|June 16, 2025
概括
允许运营商自行选择自动化透明度 (可调整的透明度) 并没有提高自动化使用准确度. 然而,更高的固定透明度提高了准确性,并在先前分析中减少了决策时间.
科学领域:
- 人与计算机的交互
- 自动化和控制系统自动化和控制系统
- 认知心理学 认知心理学
背景情况:
- 提高自动化透明度通常会提高准确性,但可能会增加自动化偏差.
- 可适应的透明度旨在通过提高高透明度信息的感知价值来改善自动化使用.
研究的目的:
- 调查可适应的透明度是否与固定的透明度水平相比,提高了自动化使用准确度.
- 检查影响选择更高透明度的因素,如决策风险和感知难度.
主要方法:
- 两项研究使用了一个无人驾驶汽车 (UV) 管理任务,操作自动化透明度 (固定低,固定高,可适应) 和决策风险.
- 参与者为任务选择了最佳的紫外线,自动化提供建议并不总是正确的.
主要成果:
- 在41%的任务中选择了可适应的透明度,更常见的是对于被认为是困难的任务;决策风险没有影响选择.
- 固定透明度并没有提高自动化使用准确性,但减少了决策时间.
- 可调整的透明度没有比固定的透明度产生更好的自动化使用结果.
结论:
- 没有证据表明可适应的透明度可以增强自动化使用.
- 综合数据表明,更高的固定透明度提高了准确性,减少了决策时间,工作量,并增加了对自动化的信任.
- 结果有助于理解工作场所最佳的自动化透明度设计.
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