The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Age-progressed images may harm recognition of missing children by increasing the number of plausible targets
Abstract
Age progression, often used to help find missing children, is a technique whereby an outdated photograph of an individual is used to generate an updated image of that individual. Despite its importance, few empir- ical psychological studies have tested the utility of age progression. The current studies had two purposes: (1) to empirically test the effectiveness of a computerized age-progression system (APRILage); and (2) to examine how the presentation of an age-progressed image changes observers' decision-making strate- gies. Presenting participants with an age-progressed image in addition to an outdated image resulted in fewer target recognitions and more mistaken non-target 'recognitions' (Study 1; N = 135), led participants to assign fewer confidence points to the actual target and more confidence points to non-targets (Study 2; N = 231), and increased, rather than decreased, the number of plausible targets (Study 3; N = 88). Results are explained within a multidimensional face-space conceptualization of facial recognition.
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Most forensic artists use photographs of biological relatives (e.g. parents, siblings, grandparents) to improve the prediction of the current facial appearance.
“Most forensic artists use photographs of biological relatives (e.g. parents, siblings, grandparents) to improve the prediction of the current facial appearance [12,13].”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [12]
Mathematical similarity is well suited for computer vision purposes but insufficient for determining the effectiveness of age-progression techniques in the real world, which requires assessment by human subjects.
“Although this is well suited for their purposes, it is insufficient for determining the effectiveness of age-progression techniques in the real world, which requires assessment by human subjects [12].”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [12]
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“Clinical versus Actuarial Judgment.”
Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298
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Koudelová, J., Hoffmannová, E., Dupej, J., & Velemínská, J. (2019) · PLOS ONE · doi:10.1371/journal.pone.0212618 · Cited by 33
Metadata
- Authors
- Charman, S. D., & Carol, R. N.
- ORCID
- Carol, Rolando N.
- Venue
- Journal of Applied Research in Memory and Cognition
- Published
- 2012-09
- Volume
- 1
- Issue
- 3
- Pages
- 171-178
- ISSN
- 2211-369X
- 2211-3681
- Cited by
- 18
- References
- 1
- Language
- en
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