Results 1 to 10 of about 169 (95)

Lineup position affects guessing-based selection but not culprit-presence detection in simultaneous and sequential lineups [PDF]

open access: yesScientific Reports
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

Do sequential lineups impair underlying discriminability? [PDF]

open access: yesCognitive Research: Principles and Implications, 2020
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   +4 more sources

On the advantages of using AI-generated images of filler faces for creating fair lineups [PDF]

open access: yesScientific Reports
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

The effects of lineup size on the processes underlying eyewitness decisions. [PDF]

open access: yesSci Rep, 2023
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.
Menne NM, Winter K, Bell R, Buchner A.
europepmc   +2 more sources

Measuring lineup fairness from eyewitness identification data using a multinomial processing tree model. [PDF]

open access: yesSci Rep, 2023
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
Menne NM, Winter K, Bell R, Buchner A.
europepmc   +2 more sources

Detection of culprit presence in multiple-culprit crimes: A comparison of combined and separate lineup-presentation formats. [PDF]

open access: yesPLoS One
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.
Lichtenhagen U   +5 more
europepmc   +2 more sources

Suspect identification accuracy from lineups, in the lab and in the field. [PDF]

open access: yesCogn Res Princ Implic
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 ...
Wixted JT, Mickes L.
europepmc   +2 more sources

Delays reduce culprit-presence detection but do not affect guessing-based selection in response to lineups. [PDF]

open access: yesSci Rep
Police lineups are conducted with varying delays between the crime and the lineup. Crime-to-lineup delays may adversely affect the detection of the presence and absence of the culprit in the lineup and may potentially affect guessing-based selection.
Therre A   +5 more
europepmc   +2 more sources

Choosing lineup order vs knowing which lineup corresponds to which suspect: accuracy implications in multiple perpetrator identification [PDF]

open access: yesProceedings of the Estonian Academy of Sciences, 2021
Although many crimes involve multiple perpetrators, most eyewitness studies examine identification accuracy within the context of a single perpetrator.
Kristjan Kask
doaj   +1 more source

Distributed wireless network resource optimisation method based on mobile edge computing

open access: yesIET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang   +4 more
wiley   +1 more source

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