Take a look at our preprint for insight on this all-too-common finding of the eyewitness id literature.
In this paper, we look at why lineups better inculpate the guilty than they do exculpate the innocent (the rejection-inferiority effect).
W/ Andrew Smith, Jim Lampinen, @nydia-ayala.bsky.social, & Ian Dobbins
🔗 www.researchgate.net/publication/...
Take a look at our preprint for insight on this all-too-common finding of the eyewitness id literature.
Why should police video-record lineups?
We videorecorded 1496 witnesses as they completed lineups. We coded the behaviors that these witnesses demonstrated and subjected the resulting data to machine learning analyses.
Link and findings below!
Why should police video-record lineups?
We videorecorded 1496 witnesses as they completed lineups. We coded the behaviors that these witnesses demonstrated and subjected the resulting data to machine learning analyses.
Link and findings below!
www.researchgate.net/publication/...
www.researchgate.net/publication/...
In this paper, we find that the biased-lineup preference effect (or the finding that lay ppl rate IDs from biased lineups as more reliable than those from unbiased lineups) is driven by perceptual fluency.
www.researchgate.net/publication/...
In this paper, we find that the biased-lineup preference effect (or the finding that lay ppl rate IDs from biased lineups as more reliable than those from unbiased lineups) is driven by perceptual fluency.
www.researchgate.net/publication/...
@nydia-ayala.bsky.social, Andrew Smith, & Gary Wells utilized machine learning to evaluate the utility of confidence, decision time, and the language of lineup justifications in the context of sequential & simultaneous lineups!
See preprint below ⬇️
@nydia-ayala.bsky.social, Andrew Smith, & Gary Wells utilized machine learning to evaluate the utility of confidence, decision time, and the language of lineup justifications in the context of sequential & simultaneous lineups!
See preprint below ⬇️