Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Visual search professionals frequently examine complex images in which they must locate and identify anomalies (e.g., tumors or lesions in medical images, hostile territories in maps) indicating the presence of important information. This is a difficult perceptual and cognitive challenge that requires years of experience even beyond domain-specific training. We developed a laboratory analogue of this task to examine how people development expertise over time and the changes that occur in visual scanning behaviors as this expertise accrues. Participants' eyes were tracked as they searched for subtle anomalies during and after different forms of training. Anomaly detection improved with experience and this improvement occurred more quickly in perceptual training conditions. Eye movement analyses revealed that participants' expertise conferred benefits in both scanning and recognition times. These results suggest that simple perceptual training methods can affect both cognitive and oculomotor components of visual search.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12407182 | PMC |
| http://dx.doi.org/10.1145/3725837 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Understanding and Addressing Challenges With Electronic Health Record Use in Gynecological Oncology: Cross-Sectional Survey of Multidisciplinary Professionals in the United Kingdom and Co-Design of an Integrated Informatics Platform to Support Clinical Decision-Making.
JMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFSurgical options for correcting refractive surprise following lens and cataract surgery: a review and meta-analysis.
J Cataract Refract Surg
July 2025
Helsinki Retina Research Group, University of Helsinki, Finland.
Topic: To compare the outcomes of surgical approaches to correct ametropia following cataract and lens surgery.
Clinical Relevance: Despite advancements in the field of biometry and intraocular lens (IOL) power calculation formulas, complete elimination of refractive surprises following cataract and lens surgery is impossible. Preferred Practice Patterns acknowledges the possibility of refractive surprise following cataract surgery; however, no recommendations regarding the preferred treatment have been given.
Ant visual route navigation: How the fine details of behaviour promote successful route performance and convergence.
PLoS Comput Biol
September 2025
Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, United Kingdom.
Individually foraging ants use egocentric views as a dominant navigation strategy for learning and retracing routes. Evidence suggests that route retracing can be achieved by algorithms which use views as 'visual compasses', where individuals choose the heading that leads to the most familiar visual scene when compared to route memories. However, such a mechanism does not naturally lead to route approach, and alternative strategies are required to enable convergence when off-route and for correcting on-route divergence.
View Article and Find Full Text PDFImpact of UV-C on material degradation: a scoping literature review.
Antimicrob Steward Healthc Epidemiol
September 2025
Center for Access and Delivery Research and Evaluation (CADRE), Iowa City VA Healthcare System, Iowa City, IA, USA.
Background: Ultraviolet-C (UV-C) radiation has emerged as a widely adopted disinfection technology in healthcare settings due to its germicidal effectiveness. However, concerns have grown regarding the potential degradation of materials, particularly polymeric surfaces, subjected to repeated UV-C exposure. Understanding the extent, mechanism, and contributing factors of UV-C-induced material degradation is essential for safe and sustainable implementation.
View Article and Find Full Text PDFMachine learning techniques to classify emotions from electroencephalogram topographic maps: A systematic review.
Comput Biol Med
September 2025
Postgraduate Program in Computing, Center for Technological Development, Federal University of Pelotas, Pelotas, 96010-610, Rio Grande do Sul, Brazil.
In the task of image classification for emotion recognition, facial expression data is commonly used. However, electrical brain signals generated by neural activity provide data with greater integrity. We can capture these signals non-invasively using electroencephalogram (EEG) recording devices.
View Article and Find Full Text PDF