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When studying how people search for objects in scenes, the inhomogeneity of the visual field is often ignored. Due to physiological limitations peripheral vision is blurred and mainly uses coarse-grained information (i.e., low spatial…

神经元与认知 · 定量生物学 2021-01-05 Anke Cajar , Ralf Engbert , Jochen Laubrock

When searching a target in a natural scene, both the target's visual properties and similarity to the background influence whether (and how fast) humans are able to find it. However, thus far it has been unclear whether searchers adjust the…

Active perception and foveal vision are the foundations of the human visual system. While foveal vision reduces the amount of information to process during a gaze fixation, active perception will change the gaze direction to the most…

计算机视觉与模式识别 · 计算机科学 2022-08-25 Alexandre M. F. Dias , Luís Simões , Plinio Moreno , Alexandre Bernardino

Scene viewing is used to study attentional selection in complex but still controlled environments. One of the main observations on eye movements during scene viewing is the inhomogeneous distribution of fixation locations: While some parts…

神经元与认知 · 定量生物学 2018-11-14 Hans A. Trukenbrod , Simon Barthelmé , Felix A. Wichmann , Ralf Engbert

Understanding the decision process underlying gaze control is an important question in cognitive neuroscience with applications in diverse fields ranging from psychology to computer vision. The decision for choosing an upcoming saccade…

神经元与认知 · 定量生物学 2021-01-27 Noa Malem-Shinitski , Manfred Opper , Sebastian Reich , Lisa Schwetlick , Stefan A. Seelig , Ralf Engbert

When watching the image of a natural scene on a computer screen, observers initially move their eyes towards the center of the image --- a reliable experimental finding termed central fixation bias. This systematic tendency in eye guidance…

The human visual system contains a hierarchical sequence of modules that take part in visual perception at different levels of abstraction, i.e., superordinate, basic, and subordinate levels. One important question is to identify the…

神经元与认知 · 定量生物学 2018-03-12 Matin N. Ashtiani , Saeed Reza Kheradpisheh , Timothée Masquelier , Mohammad Ganjtabesh

Eye movements during fixation of a stationary target prevent the adaptation of the photoreceptors to continuous illumination and inhibit fading of the image. These random, involuntary, small, movements are restricted at long time scales so…

In humans and in foveated animals visual acuity is highly concentrated at the center of gaze, so that choosing where to look next is an important example of online, rapid decision making. Computational neuroscientists have developed…

神经元与认知 · 定量生物学 2014-12-05 Ralf Engbert , Hans A. Trukenbrod , Simon Barthelmé , Felix A. Wichmann

The primary visual cortex processes a large amount of visual information, however, due to its large receptive fields, when multiple stimuli fall within one receptive field, there are computational problems. To solve this problem, the visual…

神经元与认知 · 定量生物学 2019-04-18 Linda Wang

Two prominent strategies that the human visual system uses to reduce incoming information are spatial integration and selective attention. Although spatial integration summarizes and combines information over the visual field, selective…

神经元与认知 · 定量生物学 2019-06-28 Alessandro Grillini , Remco J. Renken , Frans W. Cornelissen

The existing computational visual attention systems have focused on the objective to basically simulate and understand the concept of visual attention system in adults. Consequently, the impact of observer's age in scene viewing behavior…

计算机视觉与模式识别 · 计算机科学 2019-04-30 Onkar Krishna , Kiyoharu Aizawa , Go Irie

We aim to ask and answer an essential question "how quickly do we react after observing a displayed visual target?" To this end, we present psychophysical studies that characterize the remarkable disconnect between human saccadic behaviors…

人机交互 · 计算机科学 2022-05-06 Budmonde Duinkharjav , Praneeth Chakravarthula , Rachel Brown , Anjul Patney , Qi Sun

Face Emotion Recognition (FER) is essential for social interactions and understanding others' mental states. Utilizing eye tracking to investigate FER has yielded insights into cognitive processes. In this study, we utilized an…

人机交互 · 计算机科学 2025-03-21 Meisam J. Seikavandi , Maria J. Barrett , Paolo Burelli

We study the ability of human observer to control fixation duration during execution of visual search tasks. We conducted the eye-tracking experiments with natural and synthetic images and found the dependency of fixation duration on…

神经元与认知 · 定量生物学 2020-04-24 Alexander Vasilyev

Human visual perception is a complex, dynamic and fluctuating process. In addition to the incoming visual stimulus, it is affected by many other factors including temporal context, both external and internal to the observer. In this study…

神经元与认知 · 定量生物学 2020-07-01 Urit Gordon , Shimon Marom , Naama Brenner

Even when we look at stationary objects, involuntarily our eyes perform miniature movements and do not stand perfectly still. Such fixational eye movements (FEM) can be decomposed into at least two components: rapid microsaccades and slow…

神经元与认知 · 定量生物学 2015-03-03 Marco Rusconi , Stephanie Jainta , Hazel Blythe , Ralf Engbert

In real-world scene perception human observers generate sequences of fixations to move image patches into the high-acuity center of the visual field. Models of visual attention developed over the last 25 years aim to predict two-dimensional…

神经元与认知 · 定量生物学 2022-08-15 Lisa Schwetlick , Daniel Backhaus , Ralf Engbert

Eye-tracking technology is an integral component of new display devices such as virtual and augmented reality headsets. Applications of gaze information range from new interaction techniques exploiting eye patterns to gaze-contingent…

人机交互 · 计算机科学 2022-05-05 Elena Arabadzhiyska , Cara Tursun , Hans-Peter Seidel , Piotr Didyk

We aim to investigate the impact of image and signal properties on visual attention mechanisms during a signal detection task in digital images. The application of insight yielded from this work spans many areas of digital imaging where…

计算机视觉与模式识别 · 计算机科学 2026-01-15 Amar Kavuri , Howard C. Gifford , Mini Das
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