Visual search in natural scenes is a complex task relying on peripheral vision to detect potential targets and central vision to verify them. The segregation of the visual fields has been particularly established by on-screen experiments. We conducted a gaze-contingent experiment in virtual reality in order to test how the perceived roles of central and peripheral visions translated to more natural settings. The use of everyday scenes in virtual reality allowed us to study visual attention by implementing a fairly ecological protocol that cannot be implemented in the real world. Central or peripheral vision was masked during visual search, with target objects selected according to scene semantic rules. Analyzing the resulting search behavior, we found that target objects that were not spatially constrained to a probable location within the scene impacted search measures negatively. Our results diverge from on-screen studies in that search performances were only slightly affected by central vision loss. In particular, a central mask did not impact verification times when the target was grammatically constrained to an anchor object. Our findings demonstrates that the role of central vision (up to 6 degrees of eccentricities) in identifying objects in natural scenes seems to be minor, while the role of peripheral preprocessing of targets in immersive real-world searches may have been underestimated by on-screen experiments.
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http://dx.doi.org/10.1167/jov.21.7.3 | DOI Listing |
Microsc Res Tech
January 2025
School of Computer Science, Hubei University of Technology, Wuhan, China.
Reactive lymphocytes are an important type of leukocytes, which are morphologically transformed from lymphocytes. The increase in these cells is usually a sign of certain virus infections, so their detection plays an important role in the fight against diseases. Manual detection of reactive lymphocytes is undoubtedly time-consuming and labor-intensive, requiring a high level of professional knowledge.
View Article and Find Full Text PDFFront Clin Diabetes Healthc
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Department of Basic Sciences, College of Medicine, Sulaiman Al Rajhi University, Al-Bukairyah, Saudi Arabia.
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View Article and Find Full Text PDFVascular
January 2025
Department of Vascular Surgery, University Hospital Leipzig, Leipzig, Germany.
Background: Peripheral artery disease (PAD) outcomes often rely on the expertise of individual vascular units, introducing potential subjectivity into disease staging. This retrospective, multicenter cohort study aimed to demonstrate the ability of artificial intelligence (AI) to provide disease staging based on inter-institutional expertise by predicting limb outcomes in post-interventional pedal angiograms of PAD patients, specifically in comparison to the inframalleolar modifier in the Global Limb Anatomic Staging System (IM GLASS).
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Transl Vis Sci Technol
January 2025
Vrije Universiteit Amsterdam, Department of Human Movement Sciences, Amsterdam Movement Sciences and Institute Brain and Behaviour Amsterdam (iBBA), Amsterdam, the Netherlands.
Purpose: Understanding the impact of vision impairment on dynamic tasks requiring visual processing is crucial for developing effective adaptive strategies that support individuals with vision impairment in optimizing their performance in natural tasks. This study aimed to establish the gaze patterns used by individuals with vision impairment when hitting a moving target.
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Turk J Ophthalmol
December 2024
University of Health Sciences Türkiye, Kartal Dr. Lütfi Kırdar City Hospital, Clinic of Rheumatology, İstanbul, Türkiye.
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