使用分布式认知方法去偏见判断:对技术策略的全面审查
Harini Dharanikota1, Emma Howie1,2, Lorraine Hope3
1The University of Edinburgh, UK.
Human factors
|October 26, 2024
概括
通过分布式认知观察到的技术脱离策略,提供了一种全新的系统层面方法,以尽量减少高风险决策中的认知偏见. 大多数审查的策略被证明是有效的,突出了现实世界应用的潜力.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 系统工程 系统工程
背景情况:
- 认知偏见会影响高风险的决策.
- 技术变化将重点从个人转移到系统设计.
- 分布认知理论为理解决策环境中的信息流提供了一个框架.
研究的目的:
- 综合研究技术退化策略.
- 引入基于分布式认知的新型分类系统.
- 讨论减轻认知偏见的理论含义.
主要方法:
- 在六个数据库中进行系统的文献搜索.
- 调节策略的分类 (组组合,信息设计,程序) 和认知偏见.
- 分析了80篇文章,涵盖了100项愚蠢调查和91项认知偏见.
主要成果:
- 80%的技术淘汰策略是有效的;14%是无效的,6%是部分有效的.
- 信息设计策略最常被研究,其次是程序和组组合.
- 识别了技术退化方面的差距和未来研究方向.
结论:
- 由分布式认知构成的技术 debiasing,重新概念化了认知偏差缓解.
- 拟议的分类系统有助于理解和应用退化策略.
- 调查结果可以为高风险的工作系统的设计提供信息,以减少判断错误.
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