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Visual attention · Image

by Mario Ferraro, G. Boccignone (b, M. Ferraro , 2012
"... Feed and fly control of visual scanpaths ..."
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Feed and fly control of visual scanpaths

Action from still image dataset and inverse optimal control to learn task specific visual scanpaths

by Stefan Mathe, Cristian Sminchisescu - in Advances in Neural Information and Processing Systems , 2013
"... Human eye movements provide a rich source of information into the human vi-sual information processing. The complex interplay between the task and the visual stimulus is believed to determine human eye movements, yet it is not fully understood, making it difficult to develop reliable eye movement pr ..."
Abstract - Cited by 5 (1 self) - Add to MetaCart
within models that allow to effectively predict the human visual search patterns based on inverse optimal control. The methodology achieves state of the art scanpath modeling results. 1

Using Model Tracing and Evolutionary Algorithms to Determine Parameter Settings for Cognitive Models From Time Series Data such as Visual Scanpaths

by Yunfeng Zhang, Anthony J. Hornof
"... Time-series data such as eye movements or mouse movements contain rich information about the dependencies between successive human actions. This information can be potentially very useful for examining model assumptions and constraining parameter search. This paper explores the use of model tracing, ..."
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features of tracing, along with the use of an evolutionary optimization algorithm, led to accurate and robust estimates for parameters of visual acuity functions needed by visual search models.

multidimensional scanpath similarity

by Halszka Jarodzka, Kenneth Holmqvist, Marcus Nyström, M. A Vector-based, Measure In C. Morimoto
"... • To compare two data sets usually the following options are chosen: • qualitative descriptions of scanpath visualizations • statistical testing of spatially aggregated data string edit measures • statistical testing of temporally aggregated data attention map measures ..."
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• To compare two data sets usually the following options are chosen: • qualitative descriptions of scanpath visualizations • statistical testing of spatially aggregated data string edit measures • statistical testing of temporally aggregated data attention map measures

Scanpath comparison revisited

by Andrew T Duchowski , Jason Driver , Sheriff Jolaoso , Beverly N Ramey , Ami Robbins , William Tan - In Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA 2010 , 2010
"... Abstract The scanpath comparison framework based on string editing is revisited. The previous method of clustering based on k-means "preevaluation" is replaced by the mean shift algorithm followed by elliptical modeling via Principal Components Analysis. Ellipse intersection determines cl ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
, where participants were asked to visually connect alphanumeric targets (letters and numbers). The observed repetitive position similarity index matches previously published results, providing ongoing support for the scanpath theory (at least in this situation). Task dependence of eye movements may

eMINE Scanpath Analysis Algorithm

by Sukru Eraslan, Yeliz Yesilada, Simon Harper , 2013
"... The existing re-engineering, namely transcoding, techniques improved disabled and mobile Web users experience by making Web pages more accessible in constrained environments such as on small screen devices and in audio presentation. However, none of these techniques use eye tracking data to transcod ..."
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, which are eye movement se-quences, and relating those scanpaths to visual elements of Web pages. It can then be used to transcode Web pages, for instance, unnecessary in-formation can be removed and/or the visual elements can be re-ordered. We assert that both visually disabled and mobile users would

The Statistical Challenge of Scan-Path Analysis

by Moreno I. Coco
"... By knowing what people look at while performing tasks, we would be able to better design devices that facilitate users ’ interaction. Eye tracking is a use-ful technique to study visual attention but the data are often spatially and temporally complex to ana-lyze. To this aim more sophisticated anal ..."
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By knowing what people look at while performing tasks, we would be able to better design devices that facilitate users ’ interaction. Eye tracking is a use-ful technique to study visual attention but the data are often spatially and temporally complex to ana-lyze. To this aim more sophisticated

SCANPATH ANALYSIS IN OBJECTIVE EVALUATION OF READING SKILLS

by Piotr Augustyniak
"... scanpath analysis, human visual system, perception skills ..."
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scanpath analysis, human visual system, perception skills

Visual attention to repeated print advertising: A test of scanpath theory

by Edward Rosbergen, Michel Wedel, Rik Pieters - Journal of Marketing Research , 1999
"... Consumers ’ visual attention to a repeated print advertisement is examined using eye-tracking methodology. We propose a statistical model comprising submodels for three key measures of visual attention to specific elements of the advertisement: attention onset, attention duration, and inter- and int ..."
Abstract - Cited by 37 (4 self) - Add to MetaCart
Consumers ’ visual attention to a repeated print advertisement is examined using eye-tracking methodology. We propose a statistical model comprising submodels for three key measures of visual attention to specific elements of the advertisement: attention onset, attention duration, and inter

Simulating human saccadic scanpaths on natural images

by Wei Wang, Cheng Chen, Yizhou Wang - In CVPR , 2011
"... Human saccade is a dynamic process of information pur-suit. Based on the principle of information maximization, we propose a computational model to simulate human sac-cadic scanpaths on natural images. The model integrates three related factors as driven forces to guide eye move-ments sequentially — ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
by the proposed model and several other visual saliency-based models against human eye movement data. Experimental results demonstrate that the proposed model achieves the best prediction accuracy on both static fixation locations and dynamic scanpaths. 1.
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