scholarly journals Visual Focus of Attention Actively Associates Relevancy in Eye Movements

2015 ◽  
Vol 3 (2) ◽  
pp. 209
Author(s):  
Gufran Ahmad
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Social Economic ◽  
Tracking System ◽  
Underlying Mechanism ◽  
Focus Of Attention ◽  
Movement Data ◽  
Business Applications ◽  
Human Eye Movements

<p><em>Advancements in the studies of eye movements have excelled beyond frontiers and transited into the phase of next generation splendidly. The business applications, like online shopping, advertisement, web designing, search engine optimization, of eye movement studies in real world scenarios have started to dominate as well. Tracking of eye movements can communicate the underlying mechanism of visual perception and dynamics of humans’ cognition that are of prime concerns for a number of social, economic, and scientific purposes. In this study, we conducted a series of eye tracking experiments to verify our hypothesis that during human eye movements, the visual focus of attention dynamically associated relevant constituents of artistic portrait. We collected the eye movement data of participants who regarded artistic portraits during active viewing. The trails produced from eye tracking system during portrait viewing traced connected focuses of attention in eye movements based on relevancy in visual contexts. These experimental facts validated the hypothesis that visual focus of attention actively associated relevancy in eye movements.</em></p>

scholarly journals Dog eye movements are slower than human eye movements

2020 ◽  
Vol 12 (8) ◽  
Author(s):  
Soon Young Park ◽  
Catarina Espanca Bacelar ◽  
Kenneth Holmqvist
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Animal Species ◽  
Tracking System ◽  
Canis Lupus Familiaris ◽  
Movement Data ◽  
Cognitive Studies ◽  
Systematic Relationships ◽  
Human Eye Movements

Eye movement of a species reflects the visual behavior strategy that it has adapted to during its evolution. What are eye movements of domestic dogs (Canis lupus familiaris) like? Investigations of dog eye movements per se have not been done, despite the increasing number of visuo-cognitive studies in dogs using eye-tracking systems. To fill this gap, we have recorded dog eye movements using a video-based eye-tracking system, and compared the dog data to that of humans. We found dog saccades follow the systematic relationships between saccade metrics previously shown in humans and other animal species. Yet, the details of the relationships, and the quantities of each metric of dog saccades and fixations differed from those of humans. Overall, dog saccades were slower and fixations were longer than those of humans. We hope our findings contribute to existing comparative analyses of eye movement across animal species, and also to improvement of algorithms used for classifying eye movement data of dogs.

scholarly journals Automated Filtering of Eye Movements Using Dynamic AOI in Multiple Granularity Levels

2021 ◽  
Vol 12 (1) ◽  
pp. 49-64
Author(s):  
Gavindya Jayawardena ◽  
Sampath Jayarathna
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Eye Gaze ◽  
Movement Analysis ◽  
Movement Data ◽  
Bounding Boxes ◽  
Multiple Granularity ◽  
Instance Segmentation ◽  
Segmentation Models

Eye-tracking experiments involve areas of interest (AOIs) for the analysis of eye gaze data. While there are tools to delineate AOIs to extract eye movement data, they may require users to manually draw boundaries of AOIs on eye tracking stimuli or use markers to define AOIs. This paper introduces two novel techniques to dynamically filter eye movement data from AOIs for the analysis of eye metrics from multiple levels of granularity. The authors incorporate pre-trained object detectors and object instance segmentation models for offline detection of dynamic AOIs in video streams. This research presents the implementation and evaluation of object detectors and object instance segmentation models to find the best model to be integrated in a real-time eye movement analysis pipeline. The authors filter gaze data that falls within the polygonal boundaries of detected dynamic AOIs and apply object detector to find bounding-boxes in a public dataset. The results indicate that the dynamic AOIs generated by object detectors capture 60% of eye movements & object instance segmentation models capture 30% of eye movements.

scholarly journals Eye Gazes Based on Associative Relevance Assist in Decision Making Processes during Scene Perception

2016 ◽  
Vol 8 (2) ◽  
pp. 74
Author(s):  
Gufran Ahmad
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Eye Movements ◽  
Visual Perception ◽  
Eye Tracking ◽  
Scene Perception ◽  
Cognitive Dynamics ◽  
Movement Data ◽  
Business Applications ◽  
Decision Making Processes

<p>Research studies on eye movements in area of information processing task, such as scene perception have recently advanced towards understandings of underlying visual perception mechanism and human cognitive dynamics. Besides, business applications of eye tracking are endlessly revealing groundbreaking trends based on practical scenarios. In this study, we conducted a number of eye tracking experiments to establish our hypothesis that the eye gazes based on the associative relevance found within the contexts of scenes during scene perception significantly supported the processes of decision making. The collected eye movement data from participants who viewed artistic scenes discovered that the tracks of eye gazes traversed along the existing associative relevance among the elements of scenes for decision making processes. These experimental evidences confirmed our hypothesis that the eye gazes based on associative relevance assisted in decision making processes during scene perception.</p>

scholarly journals Using the Blind Spot to Investigate Trans-Saccadic Perception

Vision ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 39
Author(s):  
Julie Royo ◽  
Fabrice Arcizet ◽  
Patrick Cavanagh ◽  
Pierre Pouget
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Tracking System ◽  
Blind Spot ◽  
The Gaze ◽  
Gaze Position

We introduce a blind spot method to create image changes contingent on eye movements. One challenge of eye movement research is triggering display changes contingent on gaze. The eye-tracking system must capture the image of the eye, discover and track the pupil and corneal reflections to estimate the gaze position, and then transfer this data to the computer that updates the display. All of these steps introduce delays that are often difficult to predict. To avoid these issues, we describe a simple blind spot method to generate gaze contingent display manipulations without any eye-tracking system and/or display controls.

scholarly journals Eye-movements can help disentangle mechanisms underlying disfluency

2020 ◽  
Author(s):  
Aurélie Pistono ◽  
Robert Hartsuiker
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Lexical Selection ◽  
Self Monitoring ◽  
Speech Encoding ◽  
Movement Data ◽  
Multivariate Pattern

To reveal the underlying cause of disfluency, several authors related the pattern of disfluencies to difficulties at specific levels of production, using a Network Task. However, disfluencies are arguably multifactorial. To disentangle disfluency related to word preparation from other factors, we combined this task with eye-tracking. We manipulated lexical and grammatical selection difficulty. In Experiment 1, lines connecting the pictures varied in length. Experiment 2 only used short lines. In both experiments, lexical selection difficulty promoted self- corrections and pauses and longer viewing times. Multivariate pattern analyses (MVPA) demonstrated that lexical selection difficulty is predictable from disfluency and eye-movement data patterns. In Experiment 1, participants spent less time gazing at pictures preceded by long lines, while producing more pauses. This suggests they used a strategy to inspect other areas than the upcoming picture. We conclude that eye-tracking is informative about mechanisms underlying disfluency related to speech encoding, self-monitoring, and stalling strategies.

A technical introduction to using speakers’ eye movements to study language

2011 ◽  
Vol 6 (1) ◽  
pp. 53-82 ◽  
Author(s):  
Zenzi M. Griffin ◽  
Jordan C. Davison
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Language Production ◽  
Movement Data ◽  
History Of ◽  
Production Research ◽  
Software And Hardware ◽  
The Relationship ◽  
Movement Monitoring

Everything you wanted to know about eye movement monitoring but were afraid to ask: This is a primer for researchers new to the use of eye-tracking and particularly those with an interest in language production. It summarizes the early history of eye movement monitoring in language production research, briefly reviews the relationship between visual attention and eye movements, and details the practical concerns of collecting and analyzing gaze data. In particular, the paper discusses the features and functions of available eye-tracking software and hardware systems, as well as tools for automatically processing speech. We close with a review of dependent measures that have been derived from eye movement data as well as how they were used and interpreted.

scholarly journals Associative Relevance Based Eye Fixations Enhance Decision Making Processes in Scene Perception

2016 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Gufran Ahmad
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Eye Movements ◽  
Eye Tracking ◽  
Scene Perception ◽  
Cognitive Dynamics ◽  
Movement Data ◽  
Business Applications ◽  
Eye Fixations ◽  
Decision Making Processes

<p>Recent research studies on eye movements in area of information processing task, such as scene perception have magnificently advanced towards understandings of underlying visual perception mechanism and human cognitive dynamics. Besides, business applications of eye tracking are unceasingly revealing innovative trends based on pragmatic scenarios. In this study, we conducted a number of eye tracking experiments to establish our hypothesis that the eye fixations based on the associative relevance found within the contexts of scenes during scene perception significantly bettered the processes of decision-making. The collected eye movement data from participants who viewed artistic scenes discovered that the tracks of eye fixations traversed along the existing associative relevance among the elements of scenes for decision-making processes. These experimental evidences confirmed our hypothesis that the associative relevance based eye fixations enhanced decision-making processes in scene perception.</p>

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.

scholarly journals A Fast and Effective System for Analysis of Optokinetic Waveforms with a Low-Cost Eye Tracking Device

Healthcare ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Chong-Bin Tsai ◽  
Wei-Yu Hung ◽  
Wei-Yen Hsu
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Low Cost ◽  
Saccadic Eye Movements ◽  
Slow Phase ◽  
Eye Tracker ◽  
Effective System ◽  
Tracking Device ◽  
Traditional Approaches

Optokinetic nystagmus (OKN) is an involuntary eye movement induced by motion of a large proportion of the visual field. It consists of a “slow phase (SP)” with eye movements in the same direction as the movement of the pattern and a “fast phase (FP)” with saccadic eye movements in the opposite direction. Study of OKN can reveal valuable information in ophthalmology, neurology and psychology. However, the current commercially available high-resolution and research-grade eye tracker is usually expensive. Methods & Results: We developed a novel fast and effective system combined with a low-cost eye tracking device to accurately quantitatively measure OKN eye movement. Conclusions: The experimental results indicate that the proposed method achieves fast and promising results in comparisons with several traditional approaches.

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.

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