Готові списки джерел за темами / Visual attention in time

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  2. Дисертації
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Добірка наукової літератури з теми "Visual attention in time"

Автор: Grafiati
Опубліковано: 11 березня 2023
Оновлено: 31 липня 2025

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Статті в журналах з теми "Visual attention in time"

1

Zhou, Yan-Bang, Qiang Li, and Hong-Zhi Liu. "Visual attention and time preference reversals." Judgment and Decision Making 16, no. 4 (2021): 1010–38. http://dx.doi.org/10.1017/s1930297500008068.

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AbstractTime preference reversal refers to systematic inconsistencies between preferences and bids for intertemporal options. From the two eye-tracking studies (N1 = 60, N2 = 110), we examined the underlying mechanisms of time preference reversal. We replicated the reversal effect in which individuals facing a pair of intertemporal options choose the smaller-sooner option but assign a higher value to the larger-later one. Results revealed that the mean fixation duration and the proportion of gaze time on the outcome attribute varied across the choice and bid tasks. In addition, time preference
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2

Chun, Marvin M. "Visual working memory as visual attention sustained internally over time." Neuropsychologia 49, no. 6 (2011): 1407–9. http://dx.doi.org/10.1016/j.neuropsychologia.2011.01.029.

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Busse, L. "The Time Course of Shifting Visual Attention." Journal of Neuroscience 26, no. 15 (2006): 3885–86. http://dx.doi.org/10.1523/jneurosci.0459-06.2006.

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4

Egeth, Howard E., and Steven Yantis. "VISUAL ATTENTION: Control, Representation, and Time Course." Annual Review of Psychology 48, no. 1 (1997): 269–97. http://dx.doi.org/10.1146/annurev.psych.48.1.269.

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5

Ruhnau, E., and V. Haase. "Space-time structure of selective visual attention." International Journal of Psychophysiology 14, no. 2 (1993): 146. http://dx.doi.org/10.1016/0167-8760(93)90239-l.

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Ward, Robert, John Duncan, and Kimron Shapiro. "The Slow Time-Course of Visual Attention." Cognitive Psychology 30, no. 1 (1996): 79–109. http://dx.doi.org/10.1006/cogp.1996.0003.

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Srivastava, Priyanka, and Narayanan Srinivasan. "Time course of visual attention with emotional faces." Attention, Perception, & Psychophysics 72, no. 2 (2010): 369–77. http://dx.doi.org/10.3758/app.72.2.369.

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8

Chastain, Garvin. "Time-course of location changes of visual attention." Bulletin of the Psychonomic Society 29, no. 5 (1991): 425–28. http://dx.doi.org/10.3758/bf03333960.

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9

Couffe, C., R. Mizzi, and G. A. Michael. "Salience-based progression of visual attention: Time course." Psychologie Française 61, no. 3 (2016): 163–75. http://dx.doi.org/10.1016/j.psfr.2015.04.003.

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Drisdelle, Brandi L., Greg L. West, and Pierre Jolicoeur. "The deployment of visual spatial attention during visual search predicts response time." NeuroReport 27, no. 16 (2016): 1237–42. http://dx.doi.org/10.1097/wnr.0000000000000684.

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Дисертації з теми "Visual attention in time"

1

Jefferies, Lisa N. "Tracking attention in space and time : the dynamics of human visual attention." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/11564.

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Attention is essential to everyday life: without some selective function to guide and limit the processing of incoming information, our visual system would be overwhelmed. A description of the spatiotemporal dynamics of attention is critical to our understanding of this basic human cognitive function and is the primary goal of this dissertation. In particular, the research reported here is aimed at examining two aspects of the spatiotemporal dynamics of attention: a) the rate at which the focus of attention is shrunk and expanded along with the factors that influence this rate, and b) the fact
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Sutton, Jennifer E. "Attention to time, space, and visual pattern by the pigeon." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0002/MQ30771.pdf.

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3

Azevêdo, Adriana Medeiros Sales de. "Mapeamento espacial da atenção visual mobilizada pela via visual ventral." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/42/42137/tde-25032010-145400/.

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O processamento visual se dá por duas vias, Dorsal (localização/movimento) mobilizada por TRS (tempo de reação simples), e Ventral (forma/cor) mobilizada por TER (tempo de reação escolha). Apresentamos uma nova abordagem para se investigar a distribuição dos recursos atencionais. Os métodos psicofísicos vigentes amostram repetidas vezes poucos pontos. Optou-se por amostrar muitos pontos na tela do computador poucas vezes, obtendo-se amostragem de uma grande área. Obteve-se um mapa de detalhamento da distribuição atencional. Experimentos de atenção voluntária: I. Tarefa de TRS, mobilizando a vi
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Braithwaite, Jason John. "Visual search in space and time : where attention and inattention collide?" Thesis, University of Birmingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269885.

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Soares, Sandra C. "Fear commands attention snakes as the archetypal fear stimulus? /." Stockholm, 2010. http://diss.kib.ki.se/2010/978-91-7409-824-2/.

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6

Contenças, Thaís Santos. "É possível uma divisão da atenção visual automática no espaço?" Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/42/42137/tde-01072009-123939/.

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Анотація:
Existe controvérsia na literatura sobre a possibilidade de divisão espacial da atenção visual. Alguns autores encontraram evidências de que a atenção visual voluntária se divide no espaço. No entanto, a possibilidade de divisão da atenção automática ainda não foi adequadamente investigada. O objetivo deste trabalho foi investigar a possibilidade de uma divisão da atenção visual automática no espaço. Em um primeiro e segundo experimentos testamos a possibilidade da atenção automática se dividir em um mesmo hemicampo (esquerdo ou direito). Em um terceiro e quarto experimentos investigamos a poss
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7

Correani, Alessia. "Normal and abnormal attentional dwell time : constrains of temporal coding in visual attention in neurological patients and normal individuals." Thesis, University of Birmingham, 2011. http://etheses.bham.ac.uk//id/eprint/1781/.

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Анотація:
This thesis is concerned with the analysis of constrains of temporal coding in visual selective attention. It is well known that despite the great amount of visual information present in the environment the human visual system is only capable to attend and select some of it. How the brain is able to selectively prioritize relevant information and de-prioritize the irrelevant information in order to guide us through space, has been extensively investigated (Treisman and Gelade, 1980; Posner, 1980). Less is known about how this occurs over time. In the present thesis I investigate the role of te
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Montassier, Ana Beatriz Sacomano. "Atenção visual em crianças e adolescentes com distúrbio de aprendizagem." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/25/25143/tde-04122013-091051/.

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A atenção encontra-se incluída no grupo de funções psíquicas, agrupadas sob o nome de funções cognitivas que subsidiam o processo de aprendizagem escolar. Em relação à atenção visual, a literatura vem apontando a existência de diferenças no tempo de reação a estímulos visuais entre escolares com e sem distúrbios de aprendizagem (DA). Neste sentido, o objetivo deste estudo foi caracterizar a função atencional visual em escolares com DA. Participaram deste estudo 50 escolares, sendo 25 com o diagnóstico de distúrbio de aprendizagem, formando o grupo de estudo (GE), e 25 crianças sem queixas esc
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9

Righi, Luana Lira. "Características do efeito da atenção intermodal automática." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/42/42137/tde-17042013-105052/.

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Анотація:
O presente trabalho analisou algumas das possíveis características do efeito da atenção intermodal entre elas: relação sinal/ruído e assincronia entre início dos estímulos (AIE) em relação ao tipo de tarefa realizada. Os Experimentos 1 e 2 mostraram que os efeitos da atenção intermodal se manifestam na presença de ruído visual externo, e que não se manifestam na ausência de ruído em uma AIE de 133 ms. No entanto, o Experimento 3 mostrou que quando a AIE é maior que a utilizada nos experimentos anteriores, o efeito intermodal se manifesta no comportamento na ausência de ruído visual externo. Fi
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Li, Hui. "Experiments on the dynamics of attention: Perception of visual rhythm and the time course of inhibition of return in the visual field." Diss., Ludwig-Maximilians-Universität München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:19-172019.

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Анотація:
How attention is controlled is one of the challenging topics in cognitive neuroscience and psychology. For spatially represented targets in the visual field it has been shown that some features of visual stimuli like different colors instantaneously ‘pop-out’, while others require a serial search which is conceived of as an effortful task. It is an open question whether dynamic feature of a stimulus are processed instantaneously without high attentional demand or serially with high demand. This question was studied in experiments on rhythm perception with periodically moving stimuli, and a vis
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Книги з теми "Visual attention in time"

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Sinclair, Joshua James. The effects of target type and expectancy on attention, as a function of time and accuracy for a visual search task. Laurentian University, Department of Psychology, 1997.

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2

1956-, Wright Richard D., ed. Visual attention. Oxford University Press, 1998.

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3

Cantoni, Virginio, Maria Marinaro, and Alfredo Petrosino, eds. Visual Attention Mechanisms. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0111-4.

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4

Zhang, Liming, and Weisi Lin. Selective Visual Attention. John Wiley & Sons (Asia) Pte Ltd, 2013. http://dx.doi.org/10.1002/9780470828144.

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5

Giovanni, Berlucchi, and Rizzolatti G, eds. Selective visual attention. Pergamon, 1987.

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6

Cantoni, V. Visual Attention Mechanisms. Springer US, 2002.

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7

V, Cantoni, Marinaro M, and Petrosino Alfredo, eds. Visual attention mechanisms. Kluwer Academic/Plenum Publishers, 2002.

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8

Claus, Bundesen, and Shibuya Hitomi, eds. Visual selective attention. Lawrence Erlbaum Associates, 1995.

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9

H, Zangemeister W., Stiehl H. S, and Freksa C, eds. Visual attention and cognition. Elsevier, 1996.

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10

MacCalley, Lorna Theo. Visual selective attention and aging. [s.n.], 1995.

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Частини книг з теми "Visual attention in time"

1

Burch, Michael. "Time-Preserving Visual Attention Maps." In Intelligent Decision Technologies 2016. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39627-9_24.

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Bonnet, Claude. "Time Factors in the Processing of Visual Movement Information." In Attention and Performance VII. Routledge, 2022. http://dx.doi.org/10.4324/9781003310228-3.

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Batista, Jorge P. "A Real-Time Driver Visual Attention Monitoring System." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11492429_25.

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Bernardino, Alexandre, and José Santos-Victor. "A Real-Time Gabor Primal Sketch for Visual Attention." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11492429_41.

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Stasse, Olivier, Yasuo Kuniyoshi, and Gordon Cheng. "Development of a Biologically Inspired Real-Time Visual Attention System." In Biologically Motivated Computer Vision. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45482-9_15.

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Hou, Xiaodi, and Liqing Zhang. "A Time-Dependent Model of Information Capacity of Visual Attention." In Neural Information Processing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893028_15.

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Choi, Byung Geun, and Kyung Joo Cheoi. "Development of a Biologically Inspired Real-Time Spatiotemporal Visual Attention System." In Intelligent Information and Database Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20039-7_42.

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Pu, Lei, Xinxi Feng, Zhiqiang Hou, Wangsheng Yu, Yufei Zha, and Zhiqiang Jiao. "MHASiam: Mixed High-Order Attention Siamese Network for Real-Time Visual Tracking." In Pattern Recognition and Computer Vision. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60639-8_37.

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Björk, Helena. "Post-internet Verfremdung." In Post-Digital, Post-Internet Art and Education. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73770-2_17.

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AbstractThe ease of uploading images on Instagram has meant that a whole generation grows up paying closer attention to visual language. At the same time, Instagram and other social media have come to dominate visual culture to the extent that we need to make an effort to unlearn what they have taught us. Here the internet is seen not only as a vital part of visual culture but also as a site of learning. This chapter presents a school assignment as a possible approach to online visual culture. By creating Instagram fiction, we can understand how social media operate both visually and socially.
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Putkonen, Aini, Aurélien Nioche, Markku Laine, Crista Kuuramo, and Antti Oulasvirta. "Fragmented Visual Attention in Web Browsing: Weibull Analysis of Item Visit Times." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28238-6_5.

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AbstractUsers often browse the web in an exploratory way, inspecting what they find interesting without a specific goal. However, the temporal dynamics of visual attention during such sessions, emerging when users gaze from one item to another, are not well understood. In this paper, we examine how people distribute visual attention among content items when browsing news. Distribution of visual attention is studied in a controlled experiment, wherein eye-tracking data and web logs are collected for 18 participants exploring newsfeeds in a single- and multi-column layout. Behavior is modeled us
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Тези доповідей конференцій з теми "Visual attention in time"

1

Wang, Zhuo, Yunzhou Zhang, Xinge Zhao, Jian Ning, Dehao Zou, and Meiqi Pei. "Enhancing Visual Place Recognition with Multi-modal Features and Time-constrained Graph Attention Aggregation." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611102.

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Rupert, Angus, Braden McGrath, Joe McKay, Sergey Drakunov, and John Ramiccio. "A Simple Short-Term Solution to Helicopter Spatial Disorientation During Operations in Degraded Visual Environments." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9485.

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For the past 10 years, the number one operational helicopter problem reported by the military operating in desert environments is the inability to maintain control of the aircraft in degraded visual environments (DVE). A DVE mishap is a special subset of the Spatial Disorientation (SD) mishap. SD is defined as the inability of the pilot to correctly perceive the position, motion or attitude of the aircraft relative to the earth or other significant objects. The U.S. military establishment has been developing a three-pronged approach to reduce the problem of operating helicopters in DVE includi
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Luo, Jiunn-Shyong, and W. H. Hartt. "Adhesion of Calcareous Deposits Formed on Steel Surfaces under Cathodic Polarization." In CORROSION 1991. NACE International, 1991. https://doi.org/10.5006/c1991-91236.

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Abstract A procedure has been devised to characterize the adhesion of calcareous deposits formed upon steel in association with cathodic polarization in seawater. This involved bending the substrate in-situ and characterization of deposit debonding in terms of visual appearance, changes in the cathodic current density and the net charge transferred in association with film disruption. Specific attention has been focused upon the influence of exposure time, flow rate and applied potential upon deposit adhesion.
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Li, Zhichao, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, and Wei Xu. "Dynamic Computational Time for Visual Attention." In 2017 IEEE International Conference on Computer Vision Workshop (ICCVW). IEEE, 2017. http://dx.doi.org/10.1109/iccvw.2017.145.

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Zeng, Yingsen, Xiaoqiang Guo, Haiying Wang, Mingjin Geng, and Ting Lu. "Efficient Dual Attention Module for Real-Time Visual Tracking." In 2019 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2019. http://dx.doi.org/10.1109/vcip47243.2019.8965683.

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Zhang, Qieshi, Dian Lin, Ziliang Ren, Yuhang Kang, Fuxiang Wu, and Jun Cheng. "Attention Mechanism-based Monocular Depth Estimation and Visual Odometry." In 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2021. http://dx.doi.org/10.1109/rcar52367.2021.9517422.

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Geng, Mingjin, Haiying Wang, and Yingsen Zeng. "Enhanced Semantic Features via Attention for Real-Time Visual Tracking." In 2019 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2019. http://dx.doi.org/10.1109/vcip47243.2019.8965870.

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Huang, Huiwen, Jinling Chen, Hong Xue, Yaping Huang, and Tiesong Zhao. "Time-Variant Visual Attention in 360-Degree Video Playback." In 2018 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE). IEEE, 2018. http://dx.doi.org/10.1109/have.2018.8547419.

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Mackeben, Manfred. "The Topography of Visual Focal Attention." In Vision Science and its Applications. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/vsia.1996.fa.4.

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Анотація:
Visual attention can be seen as a computational resource that aids perception in any part of the visual field to which it is applied. This resource is limited, however, as it cannot be applied everywhere at the same time, but constitutes an attentional "focus". It has been known since the groundbreaking work of Helmholtz (1896) that attention has mobility and can be willfully deployed in the periphery of the visual field. In the absence of such "effort of will" it tends to return to the region in or near the center of the visual field.
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Wei, Yaonai, Chong Ma, Tianyang Zhong, et al. "FMRI-Guided Time-Symmetric Joint Model for Visual Attention Prediction." In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023. http://dx.doi.org/10.1109/bibm58861.2023.10385869.

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Звіти організацій з теми "Visual attention in time"

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Dutra, Lauren M., James Nonnemaker, Nathaniel Taylor, et al. Visual Attention to Tobacco-Related Stimuli in a 3D Virtual Store. RTI Press, 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0036.2005.

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We used eye tracking to measure visual attention to tobacco products and pro- and anti-tobacco advertisements (pro-ads and anti-ads) during a shopping task in a three-dimensional virtual convenience store. We used eye-tracking hardware to track the percentage of fixations (number of times the eye was essentially stationary; F) and dwell time (time spent looking at an object; DT) for several categories of objects and ads for 30 adult current cigarette smokers. We used Wald F-tests to compare fixations and dwell time across categories, adjusting comparisons of ads by the number of each type of a
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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Kendall Niles, Ken Pathak, and Joe Tom. Widened attention-enhanced atrous convolutional network for efficient embedded vision applications under resource constraints. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49459.

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Onboard image analysis enables real-time autonomous capabilities for unmanned platforms including aerial, ground, and aquatic drones. Performing classification on embedded systems, rather than transmitting data, allows rapid perception and decision-making critical for time-sensitive applications such as search and rescue, hazardous environment exploration, and military operations. To fully capitalize on these systems’ potential, specialized deep learning solutions are needed that balance accuracy and computational efficiency for time-sensitive inference. This article introduces the widened att
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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Hoffman, James E. Visual Selective Attention. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada219204.

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Shulman, Gordon L. Relating Attention to Visual Mechanisms. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada206452.

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Reeves, Adam. A Model for Visual Attention. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada179589.

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Reeves, Adam. A Model for Visual Attention. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada193061.

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Wolfe, Jeremy M. The Deployment of Visual Attention. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada416391.

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Wolfe, Jeremy M. The Deployment of Visual Attention. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada510413.

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Koch, Christoff. Toward a Neurobiological Theory of Visual Attention. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada299945.

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