Characterizing missed identifications and errors in latent fingerprint comparisons using eye-tracking data

Author:

Busey Thomas A.,Heise Nicholas,Hicklin R. Austin,Ulery Bradford T.,Buscaglia JoAnnORCID

Abstract

Latent fingerprint examiners sometimes come to different conclusions when comparing fingerprints, and eye-gaze behavior may help explain these outcomes. missed identifications (missed IDs) are inconclusive, exclusion, or No Value determinations reached when the consensus of other examiners is an identification. To determine the relation between examiner behavior and missed IDs, we collected eye-gaze data from 121 latent print examiners as they completed a total 1444 difficult (latent-exemplar) comparisons. We extracted metrics from the gaze data that serve as proxies for underlying perceptual and cognitive capacities. We used these metrics to characterize potential mechanisms of missed IDs: Cursory Comparison and Mislocalization. We find that missed IDs are associated with shorter comparison times, fewer regions visited, and fewer attempted correspondences between the compared images. Latent print comparisons resulting in erroneous exclusions (a subset of missed IDs) are also more likely to have fixations in different regions and less accurate correspondence attempts than those comparisons resulting in identifications. We also use our derived metrics to describe one atypical examiner who made six erroneous identifications, four of which were on comparisons intended to be straightforward exclusions. The present work helps identify the degree to which missed IDs can be explained using eye-gaze behavior, and the extent to which missed IDs depend on cognitive and decision-making factors outside the domain of eye-tracking methodologies.

Funder

Federal Bureau of Investigation

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The invisible 800-pound gorilla: expertise can increase inattentional blindness;Cognitive Research: Principles and Implications;2023-05-29

2. FIGO: Fingerprint Identification Approach Using GAN and One Shot Learning Techniques;2023 11th International Symposium on Digital Forensics and Security (ISDFS);2023-05-11

3. Wrongful convictions and claims of false or misleading forensic evidence;Journal of Forensic Sciences;2023-03-22

4. Not all identification conclusions are equal: Quantifying the strength of fingerprint decisions;Forensic Science International;2023-02

5. Examination of Friction Ridge Impressions;Encyclopedia of Forensic Sciences, Third Edition;2023

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