On the possible advantages of combining small lineups with instructions that discourage guessing-based selection [PDF]
The primary argument for including large numbers of known-to-be innocent fillers in lineups is that guessing-based selections are dispersed among a large number of lineup members, leading to low innocent-suspect identification rates.
Raoul Bell +2 more
exaly +3 more sources
On the advantages of using AI-generated images of filler faces for creating fair lineups [PDF]
Recent advances in artificial intelligence (AI) enable the generation of realistic facial images that can be used in police lineups. The use of AI image generation offers pragmatic advantages in that it allows practitioners to generate filler images ...
Raoul Bell +2 more
exaly +3 more sources
Lineup position affects guessing-based selection but not culprit-presence detection in simultaneous and sequential lineups [PDF]
The two-high threshold eyewitness identification model was applied to investigate the effects of lineup position on the latent cognitive processes underlying eyewitness responses in lineups.
Raoul Bell +2 more
exaly +3 more sources
The effects of lineup size on the processes underlying eyewitness decisions [PDF]
Here we apply the two-high threshold eyewitness identification model to identify the effects of lineup size on the detection-based and non-detection-based processes underlying eyewitness decisions.
Nicola Marie Menne +3 more
doaj +2 more sources
Detection of culprit presence in multiple-culprit crimes: A comparison of combined and separate lineup-presentation formats. [PDF]
Although crimes involving multiple culprits are widespread, there is still a lack of understanding of how the police should construct lineups for multiple suspects in these cases.
Ulla Lichtenhagen +5 more
doaj +2 more sources
Does visual attention to diagnostic facial features predict eyewitness identification accuracy? Implications for diagnostic feature detection theory. [PDF]
A police lineup includes a suspect and known-innocent fillers. The purpose of fillers is to protect an innocent suspect as witnesses must rely on their memory to make a lineup decision (i.e., select or reject).
Pia Pennekamp +3 more
doaj +2 more sources
Towards synthetic fillers for fair photo lineups: application of generative AI in criminal law proceedings [PDF]
A photo lineup is an identification procedure widely used in criminal investigations. It involves presenting a suspect embedded into a set of known-innocent candidates (fillers) to an eyewitness in order to identify the suspect.
A. Dörsch +3 more
doaj +2 more sources
Measuring lineup fairness from eyewitness identification data using a multinomial processing tree model [PDF]
The mock-witness task is typically used to evaluate the fairness of lineups. However, the validity of this task has been questioned because there are substantial differences between the tasks for mock witnesses and eyewitnesses. Unlike eyewitnesses, mock
Nicola Marie Menne +3 more
doaj +2 more sources
Suspect identification accuracy from lineups, in the lab and in the field [PDF]
A 2016 field study conducted in collaboration with the Houston Police Department reported that simultaneous lineups were diagnostically superior to sequential lineups, that confidence was strongly predictive of accuracy, and that high-confidence suspect ...
John T. Wixted, Laura Mickes
doaj +2 more sources
Do sequential lineups impair underlying discriminability?
Debate regarding the best way to test and measure eyewitness memory has dominated the eyewitness literature for more than 30 years. We argue that resolution of this debate requires the development and application of appropriate measurement models.
Keith Ransom, Carolyn Semmler, John Dunn
exaly +3 more sources

