scholarly journals A Comparison of the Efficiency of Eye Movement Data Processing with the Usage of a Multi-model Platform

2021 ◽  
Vol 192 ◽  
pp. 3070-3078
Author(s):  
Katarzyna Harezlak ◽  
Malgorzata Mermon ◽  
Pawel Kasprowski
Keyword(s):  
Data Processing ◽  
Eye Movement ◽  
Movement Data ◽  
Model Platform

scholarly journals Experimental Study of Demotivators and Memes Perception Complexity

2021 ◽  
pp. 74-86
Author(s):  
Aleksandra Gorbacheva ◽  
Alexandra Berlin Khenis ◽  
Alexandra Puchkova ◽  
Mikhail Osadchiy
Keyword(s):  
Experimental Study ◽  
Pilot Study ◽  
Data Processing ◽  
Eye Tracking ◽  
Eye Movement ◽  
Quantitative Data ◽  
Semantic Content ◽  
Reliable Data ◽  
Multimodal Texts ◽  
Movement Data

The article presents the results of a pilot study of the perception of the demotivator and meme genres. It was a part of an experimental study of psychophysiological and psycholinguistic features of perception and understanding of multimodal extremist texts. The aim of the study is to develop and test the hypothesis about the influence of genre on perception of multimodal texts. To test the hypothesis, we analyze the respondents' eye movement data from the main experimental study (n = 60; 31 forensic linguists with anti-extremism practice, 29 non-experts). Research methods were eye-tracking and quantitative data processing. The following statistically reliable data were obtained: compared to memes, respondents looked at demotivators (1) for a longer time, made (2) shorter fixations, (3) with more of them, and also made (4) faster and (5) shorter saccades. These parameters may indicate a denser scanning pattern of viewing demotivators compared to memes and greater cognitive expenditure in assessing the semantic content of demotivator texts. The results of the study suggest a connection between genre and the degree of multimodal texts perception complexity. This provides an opportunity for further research in this direction and, in the future, will enable the development of norms of cognitive load of judicial linguists who analyse multimodal extremist texts.

Age Differences in Eye Movements During Reading: Degenerative Problems or Compensatory Strategy?

2019 ◽  
Vol 24 (4) ◽  
pp. 297-311
Author(s):  
José David Moreno ◽  
José A. León ◽  
Lorena A. M. Arnal ◽  
Juan Botella
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Meta Analysis ◽  
Age Groups ◽  
Behavioral Changes ◽  
Aging Effects ◽  
Movement Data ◽  
Sentence Reading ◽  
The Difference ◽  
Eye Movements During Reading

Abstract. We report the results of a meta-analysis of 22 experiments comparing the eye movement data obtained from young ( Mage = 21 years) and old ( Mage = 73 years) readers. The data included six eye movement measures (mean gaze duration, mean fixation duration, total sentence reading time, mean number of fixations, mean number of regressions, and mean length of progressive saccade eye movements). Estimates were obtained of the typified mean difference, d, between the age groups in all six measures. The results showed positive combined effect size estimates in favor of the young adult group (between 0.54 and 3.66 in all measures), although the difference for the mean number of fixations was not significant. Young adults make in a systematic way, shorter gazes, fewer regressions, and shorter saccadic movements during reading than older adults, and they also read faster. The meta-analysis results confirm statistically the most common patterns observed in previous research; therefore, eye movements seem to be a useful tool to measure behavioral changes due to the aging process. Moreover, these results do not allow us to discard either of the two main hypotheses assessed for explaining the observed aging effects, namely neural degenerative problems and the adoption of compensatory strategies.

Do Successor Effects in Reading Reflect Parafoveal Processing? Evidence From Corpus-Based and Experimental Eye Movement Data

2014 ◽  
Author(s):  
Bernhard Angele ◽  
Elizabeth R. Schotter ◽  
Timothy Slattery ◽  
Tara L. Chaloukian ◽  
Klinton Bicknell ◽  
...  
Keyword(s):  
Eye Movement ◽  
Parafoveal Processing ◽  
Movement Data

Challenges in Interpretability of Neural Networks for Eye Movement Data

2020 ◽  
Author(s):  
Ayush Kumar ◽  
Prantik Howlader ◽  
Rafael Garcia ◽  
Daniel Weiskopf ◽  
Klaus Mueller
Keyword(s):  
Neural Networks ◽  
Eye Movement ◽  
Movement Data

scholarly journals Home sleep monitoring based on wrist movement data processing

2021 ◽  
Vol 183 ◽  
pp. 696-705
Author(s):  
Qiang Pan ◽  
Damien Brulin ◽  
Eric Campo
Keyword(s):  
Data Processing ◽  
Wrist Movement ◽  
Sleep Monitoring ◽  
Movement Data

scholarly journals Saliency-Based Gaze Visualization for Eye Movement Analysis

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5178
Author(s):  
Sangbong Yoo ◽  
Seongmin Jeong ◽  
Seokyeon Kim ◽  
Yun Jang
Keyword(s):  
Eye Movements ◽  
Visual Attention ◽  
Eye Movement ◽  
Visual Stimuli ◽  
Saliency Map ◽  
Gaze Behavior ◽  
The Gaze ◽  
Movement Data ◽  
Visual Clues ◽  
Human Visual Attention

Gaze movement and visual stimuli have been utilized to analyze human visual attention intuitively. Gaze behavior studies mainly show statistical analyses of eye movements and human visual attention. During these analyses, eye movement data and the saliency map are presented to the analysts as separate views or merged views. However, the analysts become frustrated when they need to memorize all of the separate views or when the eye movements obscure the saliency map in the merged views. Therefore, it is not easy to analyze how visual stimuli affect gaze movements since existing techniques focus excessively on the eye movement data. In this paper, we propose a novel visualization technique for analyzing gaze behavior using saliency features as visual clues to express the visual attention of an observer. The visual clues that represent visual attention are analyzed to reveal which saliency features are prominent for the visual stimulus analysis. We visualize the gaze data with the saliency features to interpret the visual attention. We analyze the gaze behavior with the proposed visualization to evaluate that our approach to embedding saliency features within the visualization supports us to understand the visual attention of an observer.

The “Orienting Reflex” as an Input Indicator in “Subliminal” Perception

1972 ◽  
Vol 35 (1) ◽  
pp. 103-110
Author(s):  
Phillip Kleespies ◽  
Morton Wiener
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Exposure Duration ◽  
Visual Input ◽  
Orienting Reflex ◽  
Subliminal Perception ◽  
Thematic Content ◽  
Movement Data ◽  
Report Data ◽  
Input Indicator

This study explored (1) for evidence of visual input at so-called “subliminal” exposure durations, and (2) whether the response, if any, was a function of the thematic content of the stimulus. Thematic content (threatening versus non-threatening) and stimulus structure (angular versus curved) were varied independently under “subliminal,” “part-cue,” and “identification” exposure conditions. With Ss' reports and the frequency and latency of first eye movements (“orienting reflex”) as input indicators, there was no evidence of input differences which are a function of thematic content at any exposure duration, and the “report” data were consistent with the eye-movement data.

scholarly journals Detection of developmental dyslexia with machine learning using eye movement data

Array ◽  
2021 ◽  
pp. 100087
Author(s):  
Peter Raatikainen ◽  
Jarkko Hautala ◽  
Otto Loberg ◽  
Tommi Kärkkäinen ◽  
Paavo Leppänen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Eye Movement ◽  
Developmental Dyslexia ◽  
Movement Data

scholarly journals iTemplate: A template-based eye movement data analysis approach

2018 ◽  
Vol 50 (6) ◽  
pp. 2388-2398 ◽  
Author(s):  
Naiqi G. Xiao ◽  
Kang Lee
Keyword(s):  
Data Analysis ◽  
Eye Movement ◽  
Analysis Approach ◽  
Movement Data
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