scholarly journals THE IMPROVEMENT OF PROFESSIONAL TRAINING ORGANIZATION OF THE X-RAY SCREENING SYSTEMS OPERATORS BY USING THE EYE MOVEMENTS REGISTRATION SYSTEM AND METHODS OF CLUSTER AND DISCRIMINANT ANALYSIS

2018 ◽  
Vol 21 (3) ◽  
pp. 45-36
Author(s):  
A. K. Volkov ◽  
V. V. Ionov
Keyword(s):  
Visual Search ◽  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Professional Training ◽  
Visual Fatigue ◽  
Registration System ◽  
X Ray ◽  
Tracking Technology ◽  
Screening Systems

The X-ray screening systems operators’ professional training is based on the CBT (computer-based training) principle, which has algorithms of adaptive training. These algorithms in existing computer simulators include feedback mechanisms on the basis of trainability exponents – such as the frequency of detecting dangerous objects, the frequency of false alarms and detection time. Further enhancement of the operators’ simulator training effectiveness is associated with the integration of psychophysiological mechanisms providing monitoring of their functional state. Based on the analysis of the particularities of x-ray screening systems operators’ professional training associated with the formation of competences in dangerous objects visual search, the most perspective method is the Eye tracking technology. Domestic and foreign studies of the eye movements characteristics while solving professional tasks in training process are actively developed in various areas. There are no studies of visual search peculiarities in domestic practice in contrast to exterior studies. This research is aimed at considering the usage of Eye tracking technology in the training of x-ray screening systems operators. As the result of the experimental research with the use of mobile eye-tracker Sensomotoric Instruments Eye Tracking Glasses 2.0 the statistical data of eye movement parameters of two groups of subjects with different levels of training have been received. The application of cluster and discriminant analyses methods allowed to identify General classes of these parameters, as well as to obtain the discriminants functions for each group under examination. The theoretical significance of the peculiarities of the operators’ eye movement studies is to identify the patterns of prohibited items visual search. The practical importance of implementation of Eye tracking technology and statistical analysis methods is to increase the reliability of assessment the level of formed competence of x-ray screening systems’ operators in visual search, as well as to develop the potential system of operators’ state monitoring and assessing their visual fatigue.

Eye Tracking in HCI and Usability Research

2006 ◽  
pp. 211-219 ◽  
Author(s):  
Alex Poole ◽  
Linden J. Ball
Keyword(s):  
Information Processing ◽  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Future Prospects ◽  
Keyboard Input ◽  
System Usability ◽  
Usability Research ◽  
System Interfaces ◽  
Tracking Technology

Eye tracking is a technique whereby an individual’s eye movements are measured so that the researcher knows both where a person is looking at any given time and the sequence in which the person’s eyes are shifting from one location to another. Tracking people’s eye movements can help HCI researchers to understand visual and display-based information processing and the factors that may impact the usability of system interfaces. In this way, eye-movement recordings can provide an objective source of interface-evaluation data that can inform the design of improved interfaces. Eye movements also can be captured and used as control signals to enable people to interact with interfaces directly without the need for mouse or keyboard input, which can be a major advantage for certain populations of users, such as disabled individuals. We begin this article with an overview of eye-tracking technology and progress toward a detailed discussion of the use of eye tracking in HCI and usability research. A key element of this discussion is to provide a practical guide to inform researchers of the various eye-movement measures that can be taken and the way in which these metrics can address questions about system usability. We conclude by considering the future prospects for eye-tracking research in HCI and usability testing.

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.

Why subtitle speed matters: Evidence from word skipping and rereading

2021 ◽  
pp. 1-26
Author(s):  
Jan-Louis Kruger ◽  
Natalia Wisniewska ◽  
Sixin Liao
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Lexical Processing ◽  
Situation Model ◽  
Linguistic Processing ◽  
Reading Behavior ◽  
New Findings ◽  
Word Skipping

Abstract High subtitle speed undoubtedly impacts the viewer experience. However, little is known about how fast subtitles might impact the reading of individual words. This article presents new findings on the effect of subtitle speed on viewers’ reading behavior using word-based eye-tracking measures with specific attention to word skipping and rereading. In multimodal reading situations such as reading subtitles in video, rereading allows people to correct for oculomotor error or comprehension failure during linguistic processing or integrate words with elements of the image to build a situation model of the video. However, the opportunity to reread words, to read the majority of the words in the subtitle and to read subtitles to completion, is likely to be compromised when subtitles are too fast. Participants watched videos with subtitles at 12, 20, and 28 characters per second (cps) while their eye movements were recorded. It was found that comprehension declined as speed increased. Eye movement records also showed that faster subtitles resulted in more incomplete reading of subtitles. Furthermore, increased speed also caused fewer words to be reread following both horizontal eye movements (likely resulting in reduced lexical processing) and vertical eye movements (which would likely reduce higher-level comprehension and integration).

scholarly journals Conscious and unconscious memory differentially impact attention: Eye movements, visual search, and recognition processes

2019 ◽  
Author(s):  
Michelle Ramey ◽  
Andrew P. Yonelinas ◽  
John M. Henderson
Keyword(s):  
Visual Search ◽  
Eye Movements ◽  
Eye Movement ◽  
Visual Information ◽  
Subjective Memory ◽  
Conscious Recollection ◽  
Memory Awareness ◽  
Efficient Extraction ◽  
Subjective Reports ◽  
Unconscious Memory

A hotly debated question is whether memory influences attention through conscious or unconscious processes. To address this controversy, we measured eye movements while participants searched repeated real-world scenes for embedded targets, and we assessed memory for each scene using confidence-based methods to isolate different states of subjective memory awareness. We found that memory-informed eye movements during visual search were predicted both by conscious recollection, which led to a highly precise first eye movement toward the remembered location, and by unconscious memory, which increased search efficiency by gradually directing the eyes toward the target throughout the search trial. In contrast, these eye movement measures were not influenced by familiarity-based memory (i.e., changes in subjective reports of memory strength). The results indicate that conscious recollection and unconscious memory can each play distinct and complementary roles in guiding attention to facilitate efficient extraction of visual information.

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.

Eye-Tracking Technology

2017 ◽  
pp. 283-302
Author(s):  
Chandni Parikh
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Gaze ◽  
Autism Spectrum ◽  
Gaze Direction ◽  
Red Flags ◽  
High Risk Infants ◽  
Behavioral Markers ◽  
Tracking Technology ◽  
Insight Into

Eye movements and gaze direction have been utilized to make inferences about perception and cognition since the 1800s. The driving factor behind recording overt eye movements stem from the fundamental idea that one's gaze provides tremendous insight into the information processing that takes place early on during development. One of the key deficits seen in individuals diagnosed with Autism Spectrum Disorders (ASD) involves eye gaze and social attention processing. The current chapter focuses on the use of eye-tracking technology with high-risk infants who are siblings of children diagnosed with ASD in order to highlight potential bio-behavioral markers that can inform the ascertainment of red flags and atypical behaviors associated with ASD within the first few years of development.

Using Eye Movements to Study Reading Processes

2017 ◽  
pp. 27-47 ◽  
Author(s):  
Anne E. Cook ◽  
Wei Wei
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Eye Movement ◽  
Future Research ◽  
Reading Processes ◽  
Reading Measures ◽  
Set Up ◽  
Eye Movements During Reading

This chapter provides an overview of eye movement-based reading measures and the types of inferences that may be drawn from each. We provide logistical advice about how to set up stimuli for eye tracking experiments, with different level processes (word, sentence, and discourse) and commonly employed measures of eye movements during reading in mind. We conclude with examples from our own research of studies of eye movements during reading at the word, sentence, and discourse levels, as well as some considerations for future research.

Visual Fatigue and Saccadic Eye Movement Parameters

1983 ◽  
Vol 27 (8) ◽  
pp. 728-732 ◽  
Author(s):  
Ted Megaw ◽  
Tayyar Sen
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Peak Velocity ◽  
Cognitive Task ◽  
Saccadic Eye Movements ◽  
Tracking Task ◽  
Frequency Of Occurrence ◽  
Saccadic Eye Movement ◽  
Visual Fatigue ◽  
Movement Parameters

It has been suggested by Bahill and Stark (1975) that visual fatigue can be identified by changes in some of the saccadic eye movement parameters. These include increases in the frequency of occurrence of glissades and overlapping saccades and reductions in the peak velocity and duration of saccades. In their study, fatigue was induced by the same step tracking task that was used to evaluate the changes in saccadic parameters. However, there is evidence that subjects experience extreme feelings of fatigue while performing such a task and that somehow the task is unnatural. The present study was designed to assess whether there are any differences in the various saccadic parameters obtained while subjects perform a step tracking task and a cognitive task involving the comparison of number strings. Both tasks were presented on a VDU screen. The second objective was to establish whether there are any changes in the parameters for either task as a result of prolonged performance. The results showed no major differences in the saccadic eye movements between the two tasks and no consistent changes resulting from prolonged performance.

The use of eye-tracking technology to identify visualisers and verbalisers: accuracy and contributing factors

2020 ◽  
Vol 17 (2) ◽  
pp. 229-247
Author(s):  
Zhanni Luo ◽  
Billy O'Steen ◽  
Cheryl Brown
Keyword(s):  
Eye Tracking ◽  
Eye Movement ◽  
Adaptive Learning ◽  
Learning Systems ◽  
Learning Context ◽  
Contributing Factors ◽  
Content Type ◽  
Accuracy Measure ◽  
Adaptive Learning Systems ◽  
Tracking Technology

Purpose To build adaptive learning systems for a better learning experience, designers need to identify users’ behaviour patterns and provide adaptive learning materials accordingly. This study involved a quasi-experiment and also this paper aims to investigate the accuracy of eye-tracking technology in identifying visualisers and verbalisers and the contributing factors to diverse levels of accuracy, which lays the foundation for the establishment of adaptive learning systems. Design/methodology/approach The authors prepared eight documents with different image-text combinations with the intention of triggering participants’ natural reading habits. By analysing the eye-movement data, this author categorised the 22 participants as visualisers or verbalisers. The results were compared for accuracy measure with participants’ self-reports in response to the index of learning style questionnaire. Findings The results showed that visualisers and verbalisers presented significantly different eye-movement patterns, which was confirmed by the fixation data from the Tobii eye-tracker with the detection accuracy ranged from 38% to 77%. Various factors contributed to a range of levels of accuracy, including highlighted elements, learning context, complex background, low relevance of images and texts, learner differences, awareness of experimental settings, self-conception and prior knowledge. Originality/value To the authors’ knowledge, this is the first paper investigating the feasibility of eye-tracking technology to identify visualisers and verbalisers for the development of adaptive learning systems.

Research on Information Engineering with Infrared Camera Measurement in Eye Tracking Technology

2014 ◽  
Vol 952 ◽  
pp. 257-260
Author(s):  
Le Yang Chen ◽  
Fan Zhang
Keyword(s):  
Eye Tracking ◽  
Coordinate System ◽  
Eye Movement ◽  
Infrared Camera ◽  
Center Position ◽  
Information Engineering ◽  
Calibration Algorithm ◽  
Point Calculation ◽  
Tracking Device ◽  
Tracking Technology

The thesis provides detail research on eye movement device theory and realization with infrared camera. It discusses pupil coordinate system and field of view coordinate system, calibration and displaying of real-time eye movement measure for eye tracking device, calibration algorithm for actual focus point calculation by pupil center position, and analysis of Eye movement device.

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