scholarly journals Changes in Lifeguards’ Hazard Detection and Eye Movements with Experience: Is One Season Enough?

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Jennifer Smith ◽  
Geoff Long ◽  
Peter Dawes ◽  
Oliver Runswick ◽  
Michael Tipton
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Skill Level ◽  
Gaze Behavior ◽  
Movement Data ◽  
Hazard Detection ◽  
Detection Capabilities ◽  
Experienced Personnel

Surveillance is key to the lifesaving capability of lifeguards. Experienced personnel consistently display enhanced hazard detection capabilities compared to less experienced counterparts. However, the mechanisms which underpin this effect and the time it takes to develop these skills are not understood. We hypothesized that, after one season of experience, the number of hazards detected by, and eye movements of, less experienced lifeguards (LEL) would more closely approximate experienced lifeguards (EL). The LEL watched ‘beach scene’ videos at the beginning and end of their first season. The number of hazards detected and eye-movement data were collected and compared to the EL group. The LEL perceived fewer hazards than EL and did not increase over the season. There was no difference in eye-movements between groups. Findings suggest one season is not enough for lifeguards to develop enhanced hazard detection skills and skill level differences are not underpinned by differences in gaze behavior.

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.

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.

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 Modelling Gaze Behaviour in Subtitle Processing

2021 ◽  
Vol 4 (1) ◽  
pp. 71-95
Author(s):  
Juha Lång ◽  
Hana Vrzakova ◽  
Lauri Mehtätalo
Keyword(s):  
Eye Movements ◽  
Cognitive Processing ◽  
Audiovisual Material ◽  
Gaze Behavior ◽  
Contributing Factors ◽  
Movement Data ◽  
Starting Point ◽  
Gaze Behaviour ◽  
Television Documentary ◽  
Participant Group

  One of the main rules of subtitling states that subtitles should be formatted and timed so that viewers have enough time to read and understand the text but also to follow the picture. In this paper we examine the factors that influence the time viewers spend looking at subtitles. We concentrate on the lexical and structural properties of subtitles. The participant group (N = 14) watched a television documentary with Russian narration and Finnish subtitles (the participants’ native language), while their eye movements were tracked. Using a linear mixed-effects model, we identified significant effects of subtitle duration and character count on the time participants spent looking at the subtitles. The model also revealed significant inter-individual differences, despite the fact that the participant group was seemingly homogeneous. The findings underline the complexity of subtitled audiovisual material as a stimulus of cognitive processing. We provide a starting point for more comprehensive modelling of the factors involved in gaze behaviour when watching subtitled content. Lay summary Subtitles have become a popular method for watching foreign series and films even in countries that have traditionally used dubbing in this regard. Because subtitles are visible to the viewer a short, limited time, they should be composed so that they are easy to read, and that the viewer has time to also follow the image. Nevertheless, the factors that have impact the time it takes to read a subtitle is not very well known. We wanted to find out what makes people who are watching subtitled television shows spend more time gazing at the subtitles? To answer this question, we recorded the eye movements of 14 participants when they were watching a short, subtitled television documentary. We created a statistical model of the gaze behavior from the eye movement data and found that both the length of the subtitle and the time the subtitle is visible are separate contributing factors. We also discovered large differences between individual viewers. Our conclusion is that people process subtitled content in very different ways, but there are some common tendencies. Our model can be seen as solid starting point for comprehensive modelling of gaze behavior of people watching subtitled audiovisual material.

scholarly journals WALD-EM: Wald Accumulation for Locations and Durations of Eye Movements

2020 ◽  
Author(s):  
Šimon Kucharský ◽  
Daan Roelof van Renswoude ◽  
Maartje Eusebia Josefa Raijmakers ◽  
Ingmar Visser
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Empirical Research ◽  
Process Models ◽  
Movement Behavior ◽  
Movement Data ◽  
Fixation Durations ◽  
Research Cycle ◽  
Fixation Locations ◽  
Basic Characteristics

Describing, analyzing and explaining patterns in eye movement behavior is crucial for understanding visual perception. Further, eye movements are increasingly used in informing cognitive process models. In this article, we start by reviewing basic characteristics and desiderata for models of eye movements. Specifically, we argue that there is a need for models combining spatial and temporal aspects of eye-tracking data (i.e., fixation durations and fixation locations), that formal models derived from concrete theoretical assumptions are needed to inform our empirical research, and custom statistical models are useful for detecting specific empirical phenomena that are to be explained by said theory. In this article, we develop a conceptual model of eye movements, or specifically, fixation durations and fixation locations, and from it derive a formal statistical model --- meeting our goal of crafting a model useful in both the theoretical and empirical research cycle. We demonstrate the use of the model on an example of infant natural scene viewing, to show that the model is able to explain different features of the eye movement data, and to showcase how to identify that the model needs to be adapted if it does not agree with the data. We conclude with discussion of potential future avenues for formal eye movement models.

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.

The time-course of morphological constraints

2008 ◽  
Vol 3 (2) ◽  
pp. 149-175 ◽  
Author(s):  
Ian Cunnings ◽  
Harald Clahsen
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Language Processing ◽  
Time Course ◽  
Judgment Task ◽  
General Constraint ◽  
Movement Data ◽  
Word Forms ◽  
Eye Movements During Reading ◽  
Acceptability Judgment

The avoidance of regular but not irregular plurals inside compounds (e.g., *rats eater vs. mice eater) has been one of the most widely studied morphological phenomena in the psycholinguistics literature. To examine whether the constraints that are responsible for this contrast have any general significance beyond compounding, we investigated derived word forms containing regular and irregular plurals in two experiments. Experiment 1 was an offline acceptability judgment task, and Experiment 2 measured eye movements during reading derived words containing regular and irregular plurals and uninflected base nouns. The results from both experiments show that the constraint against regular plurals inside compounds generalizes to derived words. We argue that this constraint cannot be reduced to phonological properties, but is instead morphological in nature. The eye-movement data provide detailed information on the time-course of processing derived word forms indicating that early stages of processing are affected by a general constraint that disallows inflected words from feeding derivational processes, and that the more specific constraint against regular plurals comes in at a subsequent later stage of processing. We argue that these results are consistent with stage-based models of language processing.

scholarly journals Signal analysis of sleep electrooculogram

2021 ◽  
Author(s):  
Peyman Shokrollahi
Keyword(s):  
Eye Movements ◽  
Wavelet Analysis ◽  
Eye Movement ◽  
Discrete Wavelet ◽  
Linear Discriminant ◽  
Antidepressant Medications ◽  
Disease States ◽  
Movement Data ◽  
Sleep Physiology ◽  
The Brain

Measures of sleep physiology, not obvious to the human eye, may provide important clues to disease states, and responses to therapy. A significant amount of eye movement data is not attended to clinically in routine sleep studies because these data are too long, about six to eight hours in duration, and they are also mixed with many unknown artifacts usually produced from EEG signals or other activities. This research describes how eye movements were different in depressed patients who used antidepressant medications, compared to those who did not. The goal is to track antidepressant medications effects on sleep eye movements. Clinically used SSRIs such as Prozac (Fluoxetine), Celexa (Citalopram), Zoloft (Sertraline), the SNRI Effexor (Venlafaxine) have been considered in this study to assess the possible connections between eye movements recorded during sleep and serotonin activities. The novelty of this research is in the assessment of sleep eye movement, in order to track the antidepressant medications' effect on the brain through EOG channels. EOG analysis is valuable because it is a noninvasive method, and the following research is looking for findings that are invisible to the eyes of professional clinicians. This thesis focuses on quantifying sleep eye movements, with two techniques: autoregressive modeling and wavelet analysis. The eye movement detection software (EMDS) with more than 1500 lines was developed for detecting sleep eye movements. AR coefficients were derived from the sleep eye movements of the patients who were exposed to antidepressant medications, and those who were not, and then they are classified by means of linear discriminant analysis. also for wavelet analysis, discrete wavelet coefficients have been used for classifying sleep eye movements of the patients who were exposed to medication and those who were not.

scholarly journals Signal analysis of sleep electrooculogram

2021 ◽  
Author(s):  
Peyman Shokrollahi
Keyword(s):  
Eye Movements ◽  
Wavelet Analysis ◽  
Eye Movement ◽  
Discrete Wavelet ◽  
Linear Discriminant ◽  
Antidepressant Medications ◽  
Disease States ◽  
Movement Data ◽  
Sleep Physiology ◽  
The Brain

Measures of sleep physiology, not obvious to the human eye, may provide important clues to disease states, and responses to therapy. A significant amount of eye movement data is not attended to clinically in routine sleep studies because these data are too long, about six to eight hours in duration, and they are also mixed with many unknown artifacts usually produced from EEG signals or other activities. This research describes how eye movements were different in depressed patients who used antidepressant medications, compared to those who did not. The goal is to track antidepressant medications effects on sleep eye movements. Clinically used SSRIs such as Prozac (Fluoxetine), Celexa (Citalopram), Zoloft (Sertraline), the SNRI Effexor (Venlafaxine) have been considered in this study to assess the possible connections between eye movements recorded during sleep and serotonin activities. The novelty of this research is in the assessment of sleep eye movement, in order to track the antidepressant medications' effect on the brain through EOG channels. EOG analysis is valuable because it is a noninvasive method, and the following research is looking for findings that are invisible to the eyes of professional clinicians. This thesis focuses on quantifying sleep eye movements, with two techniques: autoregressive modeling and wavelet analysis. The eye movement detection software (EMDS) with more than 1500 lines was developed for detecting sleep eye movements. AR coefficients were derived from the sleep eye movements of the patients who were exposed to antidepressant medications, and those who were not, and then they are classified by means of linear discriminant analysis. also for wavelet analysis, discrete wavelet coefficients have been used for classifying sleep eye movements of the patients who were exposed to medication and those who were not.

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