Multiple attributes of a visual array are often more efficiently processed when they are attributes of a single object than when they are attributes of different objects-a pattern reflecting the limitations of object attention. This study used psychophysical methods to evaluate the object attention limitations in the report of attributes (orientation and phase) computed early in visual analysis for spatially separated objects. These limitations had large effects on dual-object report thresholds when different judgments were required for the two objects (orientation for one object and phase for the other), but the effects were small or nonexistent when the same judgment was made about both objects. Judgment consistency reduced or eliminated the expression of object attention deficits. Thus, the deficits in dual-object report reflect both division of attention over objects and the calculation of independent reference or judgment operations. Dual-object deficits, when they occurred, were substantial in displays with external noise masks. Smaller effects were observed in clear displays, even when difficulty was equated by stimulus contrast. Thus, the primary consequence of object attention is the exclusion of external noise, or mask suppression, and enhancement of the stimulus in clear displays is a secondary consequence.
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http://dx.doi.org/10.1046/j.0956-7976.2003.psci_1471.x | DOI Listing |
Infancy
January 2025
Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, USA.
East Asians are more likely than North Americans to attend to visual scenes holistically, focusing on the relations between objects and their background rather than isolating components. This cultural difference in context sensitivity-greater attentional allocation to the background of an image or scene-has been attributed to socialization, yet it is unknown how early in development it appears, and whether it is moderated by social information. We employed eye-tracking to investigate context-sensitivity in 15-month-olds in Japan (n = 45) and the United States (n = 52).
View Article and Find Full Text PDFJ Hazard Mater
January 2025
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430070, China; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430070, China. Electronic address:
Artificial intelligence-assisted imaging biosensors have attracted increasing attention due to their flexibility, allowing for the digital image analysis and quantification of biomarkers. While deep learning methods have led to advancements in biomarker identification, the diversity in the density and adherence of targets still poses a serious challenge. In this regard, we propose CellNet, a neural network model specifically designed for detecting dense targets.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address:
Liquid crystal monomers (LCMs) are emerging pollutants that have attracted attention recently due to their unique chemical properties and wide applications. However, in-depth research on LCMs' potential risks to soil health remains blank. Therefore, 107 LCMs and nine soil health characterization proteins/enzymes were selected as research objects in this study.
View Article and Find Full Text PDFVision Res
January 2025
Department of Psychology, The University of Tennessee, Knoxville, United States.
The present study investigated the mechanisms of visual stability using naturalistic scene images. In two experiments, we asked whether the visual system relies on spatial location of the saccade target, as previously found with simple dot stimuli, or relational positions of the objects in the scene during visual stability decisions. Using a modified version of the saccadic suppression of displacement task, we manipulated the information that is displaced in the scene as well as visual stability using intrasaccadic target blanking paradigm.
View Article and Find Full Text PDFSci Rep
January 2025
College of Intelligence and Computing, Tianjin University, Tianjin, 300000, China.
Falling is an emergency situation that can result in serious injury or even death, especially in the absence of immediate assistance. Therefore, developing a model that can accurately and promptly detect falls is crucial for enhancing quality of life and safety. In the field of object detection, while YOLOv8 has recently made notable strides in detection accuracy and speed, it still faces challenges in detecting falls due to variations in lighting, occlusions, and complex human postures.
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