ArticleCognitive research: principles and implications2021
The effect of expertise, target usefulness and image structure on visual search.
Article in Cognitive research: principles and implications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interruption in visual search: a systematic review.Frontiers in psychology · 2024Pooled it
- Influence of Time Pressure on Successive Visual Searches.Journal of eye movement research · 2025Article
- Beyond minutiae: inferring missing details from global structure in fingerprints.Cognitive research: principles and implications · 2025Article
- Jack of all trades, master of one: domain-specific and domain-general contributions to perceptual expertise in visual comparison.Cognitive research: principles and implications · 2024Article
- The novel object-matching test (NOM Test): A psychometric measure of visual comparison ability.Behavior research methods · 2024Article
- Instrumental music training relates to intensity assessment but not emotional prosody recognition in Mandarin.PloS one · 2024Article
- The invisible 800-pound gorilla: expertise can increase inattentional blindness.Cognitive research: principles and implications · 2023Article
- Interpol review of fingermarks and other body impressions 2019 - 2022).Forensic science international. Synergy · 2023Review
- Visual expertise is more than meets the eye: an examination of holistic visual processing in radiologists and architects.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Autobiographical event memory and aging: older adults get the gist.Trends in cognitive sciences · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Experts outperform novices on many cognitive and perceptual tasks. Extensive training has tuned experts to the most relevant information in their specific domain, allowing them to make decisions quickly and accurately. We compared a group of fingerprint examiners to a group of novices on their ability to search for information in fingerprints across two experiments-one where participants searched for target features within a single fingerprint and another where they searched for points of difference between two fingerprints. In both experiments, we also varied how useful the target feature was and whether participants searched for these targets in a typical fingerprint or one that had been scrambled. Experts more efficiently located targets when searching for them in intact but not scrambled fingerprints. In Experiment 1, we also found that experts more efficiently located target features classified as more useful compared to novices, but this expert-novice difference was not present when the target feature was classified as less useful. The usefulness of the target may therefore have influenced the search strategies that participants used, and the visual search advantages that experts display appear to depend on their vast experience with visual regularity in fingerprints. These results align with a domain-specific account of expertise and suggest that perceptual training ought to involve learning to attend to task-critical features.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.