| Autor: |
Maria Cuellar, Cleotilde Gonzalez, Itiel E. Dror |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Forensic Science International: Synergy, Vol 5, Iss , Pp 100283- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2589-871X |
| DOI: |
10.1016/j.fsisyn.2022.100283 |
| Popis: |
It is unclear whether humans assess similarity differently than automated algorithms in firearms comparisons. Human participants (untrained in firearm examination) were asked to assess the similarity of pairs of images (from 0 to 100). A sample of 40 pairs of cartridge casing 2D-images was used. The images were divided into 4 groups according to their similarity as determined by an algorithm. Humans were able to distinguish between matches and non-matches (both when shown the 2 middle groups, as well as when shown all 4 groups). Thus, humans are able to make high-quality similarity judgments in firearm comparisons based on two images. The humans' similarity scores were superior to the algorithms' scores at distinguishing matches and non-matches, but inferior in assessing similarity within groups. This suggests that humans do not have the same group thresholds as the algorithm, and that a hybrid human-machine approach could provide better identification results than humans or algorithms alone. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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