Contributions of Recollection and Distinctiveness to the Sequential Lineup Advantage

记忆力和独特性对序列阵容优势的贡献

• 批准号: 0719997
• 负责人: Scott Gronlund
• 金额: --
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2010-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0719997&HistoricalAwards=false
• 关键词: Contributions; Recollection; Distinctiveness; Sequential; Lineup

Contributions of Recollection and Distinctiveness to the Sequential Lineup AdvantageDNA testing has confirmed what psychologists have known for 100 years: Innocent people are in prison (and guilty people at large) and faulty eyewitness identification is a primary contributor. Procedural safeguards now exist that can improve the reliability of eyewitness identification. The newest and potentially most influential such safeguard involves conducting lineups in a sequential (view lineup members one at a time) rather than simultaneous (view all lineup members at once) manner. The research in this grant includes an exploration of the factors that produce a sequential lineup advantage, specifically, using the process of recollection to remember a distinctive detail about the perpetrator. The grant work also includes the development of an explanation for how sequential lineups work. The goal is to enhance the reliability of eyewitness identification evidence through the proper conduct of lineups bolstered by a theoretical understanding of lineup decision processes. Eyewitness identification accuracy will never be perfect, but it can be improved, and if sequential lineups are part of the solution, understanding how they improve identification accuracy is essential.

记忆力和独特性对序列优势的贡献 DNA 测试证实了心理学家 100 年来所知道的事实：无辜者入狱（而有罪者在逃），错误的目击者识别是主要原因。现在存在可以提高目击者识别可靠性的程序保障措施。最新且可能最具影响力的此类保护措施涉及以顺序（一次查看一个阵容成员）而不是同时（一次查看所有阵容成员）的方式进行阵容。这项资助的研究包括对产生连续阵容优势的因素的探索，特别是利用回忆过程来记住有关肇事者的独特细节。资助工作还包括对顺序排列如何工作的解释。目标是通过对阵容决策过程的理论理解来正确进行阵容，从而提高目击者识别证据的可靠性。目击者识别准确度永远不会是完美的，但可以提高，如果顺序排列是解决方案的一部分，那么了解它们如何提高识别准确度至关重要。