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Improving face identification with specialist teams
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Recruiting people with natural aptitude in face identification tasks has been shown to produce substantial boosts to accuracy.
“Recruiting people with natural aptitude in face identification tasks [37, 38]”
From Do professional facial image comparison training courses work? (2019) · cites this paper as [37]
The Discussion reports that selecting high performers using face-identification tests improved accuracy by about 7%, a gain the authors describe as modest rather than substantial. The Background also cautions that the stronger performance of existing specialist teams cannot be attributed to recruitment alone because their selection and training processes are not documented. (LLM, conf=0.88)
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Groups of diverse problem solvers can outperform groups of high-ability problem solvers
Hong, L., & Page, S. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403723101 · Cited by 2,103
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Do professional facial image comparison training courses work?
Towler, A., Kemp, R. I., Burton, A. M., Dunn, J. D., Wayne, T., Moreton, R., & White, D. (2019) · PLOS ONE · doi:10.1371/journal.pone.0211037 · Cited by 111
Self-citation
Metadata
- Authors
- Balsdon, T., Summersby, S., Kemp, R. I., & White, D.
- ORCID
- White, David
- Venue
- Cognitive Research: Principles and Implications
- Published
- 2018-06-27
- Volume
- 3
- Issue
- 1
- ISSN
- 2365-7464
- PMC
- PMC6021458
- Cited by
- 24
- References
- 1
- Language
- en
- Funders
- Australian Research Council (LP130100702, LP160101523)
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