时间压力增加了对面相匹配任务的自动化依赖
Alysha J Hua1, Peter J B Hancock2, Daniel J Carragher1
1School of Psychology, Faculty of Health and Medical Sciences, The University of Adelaide, SA, Australia.
概括
时间压力增加了对自动面部识别 (AFR) 系统的依赖. 人类通过AFR的帮助提高了准确性,特别是在高时间压力下,但仍在努力纠正系统错误.
科学领域:
- 认知心理学 认知心理学
- 人与计算机的交互
- 生物识别信息 生物识别信息
背景情况:
- 自动面部识别 (AFR) 系统被广泛用于身份验证.
- 人类操作员经常依靠AFR系统作为决策辅助工具.
- 以前的研究表明,时间压力会对人脸匹配的准确性产生负面影响.
研究的目的:
- 调查时间压力如何影响人类对AFR系统决策的依赖.
- 为了确定增加时间压力是否会导致更多的自动化依赖.
- 评估AFR协助在不同时间限制下对人类准确度的影响.
主要方法:
- 129名参与者在高 (2s),中等 (5s) 和低 (10s) 的时间压力下完成了面部匹配任务.
- 参与者做出了无辅助的决定,然后审查了AFR系统的决定 (准确率为92.3%),并提交了辅助的决定.
- 刺激在分配时间后消失,模拟现实世界的操作约束.
主要成果:
- 在所有时间压力条件下,人类准确性随着AFR协助而提高.
- 在较高的时间压力下观察到最大的精度改进.
- 辅助人类准确度仍然低于AFR系统的独立准确度.
- 参与者难以重写错误的AFR系统决策,导致准确性下降.
结论:
- 时间压力的增加增加了人类对自动面部识别系统的依赖.
- 虽然AFR协助提高了人类的表现,但它并不能完全弥补时间压力的影响.
- 有效的人类监督AFR系统需要策略来减轻过度依赖和提高错误纠正能力.
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