A formal signal detection model of eyewitness identification

目击者识别的形式化信号检测模型

• 批准号: DP160101048
• 负责人: Prof Carolyn Semmler
• 金额: $ 12.35万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-03-29 至 2022-03-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160101048
• 关键词: formal; signal; detection; model; eyewitness

The project aims to aid in producing better procedures for the collection and assessment of eyewitness identification evidence. In a police line-up, a witness is asked to identify a perpetrator from a group of similar individuals. Applied research has focused on conditions that optimise witness performance but many of the conclusions from this research have been challenged on the basis that they use inappropriate measures of performance. Recent work has highlighted the usefulness of analyses based on the theory of signal detection. However, the line-up task does not fit easily within standard signal detection paradigms as it combines two tasks; detection and identification. The project aims to understand how these components work in order to measure witness performance.

该项目旨在帮助制定更好的程序，以收集和评估目击证人的身份证据。在警察列队指认时，证人被要求从一群类似的人中指认一名犯罪者。应用研究的重点是优化证人表现的条件，但这项研究的许多结论受到了质疑，因为他们使用了不适当的表现衡量标准。最近的工作强调了基于信号检测理论的分析的有用性。然而，排队任务并不容易适合标准的信号检测范式，因为它结合了两个任务：检测和识别。该项目旨在了解这些组成部分如何工作，以衡量证人的表现。