使用信心,决策时间和信心来预测在线和真实目击者的准确性
Adele Quigley-McBride1, Rachel Leigh Greenspan2
1Department of Psychology, Simon Fraser University, 8888 University Drive, Burnaby, V5A 1S6, Canada. aquigley@sfu.ca.
Scientific reports
|August 23, 2025
概括
目击者信心,决策时间和信心有助于警方识别准确的证人. 结合这些因素可以提高准确性预测, 数字信心是目击者识别的强有力的指标.
科学领域:
- 心理学
- 法医科学
- 认知科学
背景情况:
- 准确的目击者鉴定对于司法系统至关重要.
- 识别可靠的目击者准确性指标是执法部门面临的持续挑战.
- 反射变量,如信心和决策时间,是评估目击者的可靠性的潜在工具.
研究的目的:
- 调查信心的预测能力,决策时间和目击者的信心.
- 比较不同测量目击者信心的方法 (口头,人工智能分类,数值).
- 要确定组合多个反射变量是否可以提高识别准确性的预测.
主要方法:
- 来自在线研究 (N=1,072) 和实地研究 (N=75) 的数据分析.
- 使用人类编码的口头陈述,人工智能分类的口头陈述和数值评级来衡量信心.
- 在数据集中比较信心指标,反射变量和识别精度之间的关系.
主要成果:
- 所有的信心指标都显示出相同的识别准确度预测能力.
- 网上参与者的数字信心评分是最强的预测因素.
- 多个反射变量可以比个别变量更好地预测决策,而回报率则会下降.
结论:
- 这些发现支持间接的理论信心模型.
- 记录信心和其他反射变量对于评估现实世界法医应用中的目击者的可靠性至关重要.
- 结果对优化警察阵容程序和政策制定具有实际意义.
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