Relevant bibliographies by topics / Oculomotor capture

Academic literature on the topic 'Oculomotor capture'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Oculomotor capture"

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Anderson, B., and S. Yantis. "Value-Driven Oculomotor Capture." Journal of Vision 12, no. 9 (August 10, 2012): 372. http://dx.doi.org/10.1167/12.9.372.

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Van Der Stigchel, S., N. N. J. Rommelse, J. B. Deijen, C. J. A. Geldof, J. Witlox, J. Oosterlaan, J. A. Sergeant, and J. Theeuwes. "Oculomotor capture in ADHD." Cognitive Neuropsychology 24, no. 5 (July 2007): 535–49. http://dx.doi.org/10.1080/02643290701523546.

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Mack, A., F. Heuer, R. Fendrich, K. Vilardi, and D. Chambers. "Induced motion and oculomotor capture." Journal of Experimental Psychology: Human Perception and Performance 11, no. 3 (1985): 329–45. http://dx.doi.org/10.1037/0096-1523.11.3.329.

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Hillstrom, A., J. Wong, and M. Peterson. "Identity change and oculomotor capture." Journal of Vision 7, no. 9 (March 18, 2010): 1083. http://dx.doi.org/10.1167/7.9.1083.

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Godijn, Richard, and Arthur F. Kramer. "Oculomotor capture by surprising onsets." Visual Cognition 16, no. 2-3 (February 2008): 279–89. http://dx.doi.org/10.1080/13506280701437295.

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Belopolsky, Artem V., and Arthur F. Kramer. "Error-processing of oculomotor capture." Brain Research 1081, no. 1 (April 2006): 171–78. http://dx.doi.org/10.1016/j.brainres.2006.01.082.

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Adams, Owen J., and Nicholas Gaspelin. "Introspective awareness of oculomotor attentional capture." Journal of Experimental Psychology: Human Perception and Performance 47, no. 3 (March 2021): 442–59. http://dx.doi.org/10.1037/xhp0000898.

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Mine, Chisato, Michel Failing, and Jan Theeuwes. "Oculomotor capture by reward-associated locations." Proceedings of the Annual Convention of the Japanese Psychological Association 82 (September 25, 2018): 2PM—058–2PM—058. http://dx.doi.org/10.4992/pacjpa.82.0_2pm-058.

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Mrkonja, Lana, and Brian A. Anderson. "Oculomotor Feedback Rapidly Reduces Attentional Capture." Journal of Vision 21, no. 9 (September 27, 2021): 2442. http://dx.doi.org/10.1167/jov.21.9.2442.

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Ludwig, Casimir J. H., and Iain D. Gilchrist. "Goal-driven modulation of oculomotor capture." Perception & Psychophysics 65, no. 8 (November 2003): 1243–51. http://dx.doi.org/10.3758/bf03194849.

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Dissertations / Theses on the topic "Oculomotor capture"

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Hunt, Amelia R. "Attention and oculomotor capture." Thesis, 2005. http://hdl.handle.net/2429/17177.

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The investigations contained in this thesis explore distraction during visual search, with particular attention to what eye movements can reveal about the processes involved in visual search. All the experiments make use of the oculomotor capture effect, whereby an eye movement is misdirected toward a sudden onset distractor before being redirected to a target object. Fundamental differences between eye movements and attention in general, and between eye movements and manual responses in particular, support the current view that oculomotor capture is distinct from the more general effect known as attentional capture. Like oculomotor capture, attentional capture involves interference with visual search for a target by distractors. Unlike oculomotor capture, this interference is expressed as a delayed correct manual response, rather than a misdirected eye movement. The first study shows that resolution of oculomotor conflict between target and distractor responses takes place at or above the level of the superior colliculus, a midbrain structure involved in eye movement control. The second study explores the timecourse of eye movement and manual localization responses to targets in the presence of sudden onsets, and suggests that for both response types, capture reflects the quality of information about the visual display at a given point in time. The final study expands the oculomotor capture effect to search among emotional faces and finds that the eyes are captured by emotional faces more than neutral distractors only if emotion is task-relevant. Together, the research suggests that oculomotor capture is a specific instance of the more general attentional capture effect. It is proposed that differences and similarities between the two types of capture can be explained by the critical idea that the quality of information in a visual display changes over time, and that different response systems tend to access the same information at different moments in time.
Arts, Faculty of
Psychology, Department of
Graduate
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Kai-Chun-Cheng and 鄭凱駿. "Examining the effect of salience manipulations of ads on oculomotor capture." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/47111210417406942763.

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碩士
國立成功大學
心理學系認知科學碩士班
104
The present study started from replicated previous debates about whether banner blindness was still a common phenomenon while user performing their tasks. In study 1, we further control those confounding variables in previous research to test whether participants would still be affected by location, ad salience, task demand and ad congruities. And the result showed that participants would still be affected by those manipulations. Especially when ads were high in both motion salience and pictorial salience and were placed at right location. In study 2, we further examined whether the oculomotor capture phenomenon observed in study 1 would present without motion salience by controlled ads ranking score. And the results of study 2 were similar to study 1 on location and motion salience effect, while the effects of task demand and ad congruity were reduced. This could be the results of lowering perceptual load as previous researches would suggested. While on the ad recognition test, we found that both ad location and salience combined together to affected ad recognition, while this result was greatly reduced due to lowering perceptual load.
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Di, Caro Valeria. "Dealing with distractor interference: the impact of suppression history on attentional and oculomotor capture." Doctoral thesis, 2020. http://hdl.handle.net/11562/1016677.

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Salient distractors appearing in the visual field trigger an involuntary oculomotor capture, so being able to ignore them is paramount for an efficient attentional selection. Recent findings have revealed that past experience of distractor filtering greatly affects the deployment of attention such that it can reduce the priority of locations frequently associated with irrelevant information and, accordingly, weaken the interference of distractor appearing therein. Such benefit associated with suppression history suggests that selective attention has adaptive experience-dependent features. There are still gaps however in the knowledge of the mechanisms underlying these phenomena, that need to be more clearly identified and detailed. In a series of experiments, we addressed this topic by exploring the effect of suppression history on the immediate behavioral measures of attentional deployment - i.e. eye-movements - and on their neural correlates. Using variants of a visual search task, we manipulated the probability of occurrence of a salient distractor such that it occurred more frequently at two locations on the visual display, unbeknown to the participants (High Frequency locations - HF). The results showed that the amount of oculomotor capture triggered by the distractors appearing at HF locations was dramatically reduced relative to distractors appearing at other locations, consistently with the improvement also shown on task performance. Testing the permanence over time of these benefits, we found that some residual effects of suppression history were still detectable after the frequency unbalances were no longer in place, but their traces lingered for a very short time, vanishing definitively 24-hours later. Importantly, the bias induced by suppression history was accomplished by changes in neural activity at a relatively early stage of cortical visual processing. Indeed, the distractor-related cortical activities explored at posterior-occipital areas showed a reduced neural activation for distractors appearing at HF locations as indexed by a smaller N2pc, hence providing evidence of a decreased deployment of selective attention towards these stimuli, prior to saccadic planning. In summary, this work provides compelling evidence that suppression history affects attentional spatial priority by dynamically down-weighting the representation of spatial locations that have been more frequently associated with distraction, and whose selection has been therefore inhibited. Our data suggest that such plasticity, within topographic maps of the visual space, is transient and functional, and supported by neural changes in cortical visual processing that sustains ongoing oculomotor control.
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Book chapters on the topic "Oculomotor capture"

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Theeuwes, Jan, and Richard Godijn. "Attentional and Oculomotor Capture." In Attraction, Distraction and Action - Multiple Perspectives on Attentional Capture, 121–49. Elsevier, 2001. http://dx.doi.org/10.1016/s0166-4115(01)80008-x.

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Sievert, Alexander, Alexander Witzki, and Marco Michael Nitzschner. "Reliability and Validity of Low Temporal Resolution Eye Tracking Systems in Cognitive Performance Tasks." In Human Performance Technology, 1063–76. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8356-1.ch052.

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Eye tracking experiments are an important contribution to human computer interaction (HCI) research. Eye movements indicate attention, information processing, and cognitive state. Oculomotor activity is usually captured with high temporal resolution eye tracking systems, which are expensive and not affordable for everyone. Moreover, these systems require specific hard- and software. However, affordable and practical systems are needed especially for applied research concerning mobile HCI in everyday life. This study examined the reliability/validity of low temporal resolution devices by comparing data of a table-mounted system with an electrooculogram. Gaze patterns of twenty participants were recorded while performing a visual reaction and a surveillance task. Statistical analyses showed high consistency between both measurement systems for recorded gaze parameters. These results indicate that data from low temporal resolution eye trackers are sufficient to derive performance related oculomotor parameters and that such solutions present a viable alternative for applied HCI research.
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