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An Archival Exploration Of Lineup Fairness In Eyewitness Research, Phoebe Kane
An Archival Exploration Of Lineup Fairness In Eyewitness Research, Phoebe Kane
Student Theses
In this study, we were interested in investigating if the Betaface facial analysis program reliably predicts eyewitness lineup choosing behavior. If face analysis programs are as good or better than human judgements, using them could be a reliably more efficient, reproducible, and equitable basis for choosing fillers and evaluating lineup fairness. We collected 27 datasets from eyewitness researchers and analyzed them to produce Betaface similarity values, which measured the similarity between all the photos in each array. We compared these Betaface data to the identification data from the original studies. Our analysis of the arrays via Betaface yielded data with …
Juror's Perceptions Of Evidence-Based Suspicion, Nicholas Welter
Juror's Perceptions Of Evidence-Based Suspicion, Nicholas Welter
Student Theses
Eyewitness misidentification is a leading cause of wrongful conviction. Although the prior probability of guilt (i.e., pre-identification evidence strength) is the most important factor for predicting a defendant’s actual guilt status and the accuracy of any subsequent eyewitness identification, no study has examined whether it affects juror decisions. This oversight is problematic because when officers place suspects in lineups when there is little evidence connecting them to the crime, it falls on jurors to examine the probative value of identification evidence. Participants (N = 357) watched a mock trial depicting an armed robbery that varied pre-identification evidence (strong vs. …