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We study the problem of optimal oculomotor control during the execution of visual search tasks. We introduce a computational model of human eye movements, which takes into account various constraints of the human visual and oculomotor…

神经元与认知 · 定量生物学 2018-08-30 Alexander Yurievich Vasilyev

We conducted an eye-tracking study where 30 participants performed searches on the web. We measured their topical knowledge before and after each task. Their eye-fixations were labelled as "reading" or "scanning". The series of reading…

人机交互 · 计算机科学 2019-08-16 Nilavra Bhattacharya , Jacek Gwizdka

Understanding how people allocate visual attention is central to Human-Computer Interaction (HCI), yet existing computational models of attention are often either descriptive, task-specific, or difficult to interpret. My dissertation…

人机交互 · 计算机科学 2026-03-03 Yunpeng Bai

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…

Eye movements hold information about human perception, intention and cognitive state. Various algorithms have been proposed to identify and distinguish eye movements, particularly fixations, saccades, and smooth pursuits. A major drawback…

神经元与认知 · 定量生物学 2018-04-04 Wolfgang Fuhl , Thiago Santini , Thomas Kuebler , Nora Castner , Wolfgang Rosenstiel , Enkelejda Kasneci

Real-world scene perception is typically studied in the laboratory using static picture viewing with restrained head position. Consequently, the transfer of results obtained in this paradigm to real-word scenarios has been questioned. The…

神经元与认知 · 定量生物学 2019-12-16 Daniel Backhaus , Ralf Engbert , Lars Oliver Martin Rothkegel , Hans Arne Trukenbrod

Reading is a process that unfolds across space and time, alternating between fixations where a reader focuses on a specific point in space, and saccades where a reader rapidly shifts their focus to a new point. An ansatz of…

机器学习 · 计算机科学 2025-06-26 Francesco Ignazio Re , Andreas Opedal , Glib Manaiev , Mario Giulianelli , Ryan Cotterell

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

Participants in an eye-movement experiment performed a modified version of the Landolt-C paradigm (Williams & Pollatsek, 2007) in which they searched for target squares embedded in linear arrays of spatially contiguous "words" (i.e., short…

神经元与认知 · 定量生物学 2015-03-27 Yanping Liu , Erik D. Reichle , Ren Huang

Our interest was to evaluate changes in fixation duration as a function of time-on-task (TOT) during a random saccade task. We employed a large, publicly available dataset. The frequency histogram of fixation durations was multimodal and…

神经元与认知 · 定量生物学 2024-06-04 Lee Friedman , Oleg V. Komogortsev

The eye fixation patterns of human observers are a fundamental indicator of the aspects of an image to which humans attend. Thus, manipulating fixation patterns to guide human attention is an exciting challenge in digital image processing.…

计算机视觉与模式识别 · 计算机科学 2017-12-19 Leon A. Gatys , Matthias Kümmerer , Thomas S. A. Wallis , Matthias Bethge

Humans constantly move their eyes, even during visual fixations, where miniature (or fixational) eye movements occur involuntarily. Fixational eye movements comprise slow components (physiological drift and tremor) and fast components…

应用统计 · 统计学 2025-05-27 Lisa Schwetlick , Sebastian Reich , Ralf Engbert

The movement of the eyes has been the subject of intensive research as a way to elucidate inner mechanisms of cognitive processes. A cognitive task that is rather frequent in our daily life is the visual search for hidden objects. Here we…

神经元与认知 · 定量生物学 2012-12-24 H. F. Credidio , E. N. Teixeira , S. D. S. Reis , A. A. Moreira , J. S. Andrade

Human eye-hand coordination relies on internal forward models that predict future states and compensate for sensory delays. During line tracing, the gaze typically leads the hand through predictive saccades, yet the extent to which this…

神经元与认知 · 定量生物学 2026-04-08 Emiko Shishido

We investigated gaze direction during movement observation. The eye movement data were collected during an experiment, in which different models of movement production (based on movement primitives, MPs) were compared in a two alternatives…

人机交互 · 计算机科学 2025-03-25 Benjamin Knopp , Daniel Auras , Alexander C. Schütz , Dominik Endres

A custom head-mounted system to track smooth eye movements for control of a mouse cursor is implemented and evaluated. The system comprises a head-mounted infrared camera, an infrared light source, and a computer. Software-based image…

人机交互 · 计算机科学 2020-12-01 Adam Pantanowitz , Kimoon Kim , Chelsey Chewins , Isabel N. K. Tollman , David M. Rubin

We propose a computational model of visual search that incorporates Bayesian interpretations of the neural mechanisms that underlie categorical perception and saccade planning. To enable meaningful comparisons between simulated and human…

计算机视觉与模式识别 · 计算机科学 2020-06-08 Maell Cullen , Jonathan Monney , M. Berk Mirza , Rosalyn Moran

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

In this paper a number of problems are considered which are related to the modelling of eye guidance under visual attention in a natural setting. From a crude discussion of a variety of available models spelled in probabilistic terms, it…

计算机视觉与模式识别 · 计算机科学 2016-09-20 Giuseppe Boccignone

Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks. While the sparse, interest-point based…

计算机视觉与模式识别 · 计算机科学 2013-12-31 Stefan Mathe , Cristian Sminchisescu
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