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Using machine learning analyses to explore relations between eyewitness lineup looking behaviors and suspect guilt.
Law and Human Behavior ( IF 2.4 ) Pub Date : 2020-06-01 , DOI: 10.1037/lhb0000364
Heather L Price 1 , Kaila C Bruer 1 , Mark C Adkins 1
Affiliation  

OBJECTIVE We conducted 2 experiments using machine learning to better understand which lineup looking behaviors postdict suspect guilt., Hypotheses: We hypothesized that (a) lineups with guilty suspects would be subject to shorter viewing duration of all images and fewer image looks overall than lineups with innocent suspects, and (b) confidence and accuracy would be positively correlated. The question of which factors would combine to best postdict suspect guilt was exploratory. METHOD Experiment 1 included 405 children (6-14 years; 43% female) who each made 2 eyewitness identifications after viewing 2 live targets. Experiment 2 included 342 adult participants (Mage = 21.00; females = 75%) who each made 2 identifications after viewing a video including 2 targets. Participants made identifications using an interactive touchscreen simultaneous lineup in which they were restricted to viewing one image at a time and their interaction with the lineup was recorded. RESULTS In Experiment 1, five variables (filler look time, suspect look time, number of suspect looks, number of filler looks, and winner look time) together postdicted (with a 67% accuracy score) target presence. In Experiment 2, four variables (number of suspect looks, number of filler looks, number of loser looks, and winner looks) together postdicted (with a 73% accuracy score) target presence. CONCLUSIONS Further exploration of witness search behaviors can provide context to identification decisions. Understanding which behaviors postdict suspect guilt may assist with interpretation of identification decisions in the same way that decision confidence is currently used. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

中文翻译:

使用机器学习分析来探索目击者阵容外观行为与犯罪嫌疑人之间的关系。

目的我们进行了2个使用机器学习的实验,以更好地了解哪些阵容外观行为会推定可疑的内。 (b)信心和准确性会正相关。哪些因素可以最好地预测犯罪嫌疑人的问题是探索性的。方法实验1包括405名儿童(6-14岁;女性占43%),他们在查看了2个活体目标后分别进行了2次目击者识别。实验2包括342位成年参与者(法师= 21.00;女性= 75%),他们各自在观看了包含2个目标的视频后进行了2次识别。参与者使用交互式触摸屏同步阵容进行标识,其中他们一次只能观看一张图像,并且记录他们与阵容的互动。结果在实验1中,五个变量(填充物外观时间,可疑外观时间,可疑外观数量,填充物外观数量和获胜者外观时间)一起被预测为目标存在(准确性得分为67%)。在实验2中,四个变量(可疑外观数,补白外观数,失败者外观数和获胜者外观数)一起被预测为目标存在(准确度得分为73%)。结论对证人搜索行为的进一步探索可为识别决策提供背景。与当前使用决策置信度的方式一样,了解哪些行为会推测可疑罪魁祸首可能有助于解释识别决策。(PsycINFO数据库记录(c)2020 APA,保留所有权利)。
更新日期:2020-06-01
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