scholarly journals Analysis of Gnostic Actions Using Eye Tracking as a Method of Studying Insight in Problem Solving

2016 ◽  
Vol 12 (1) ◽  
pp. 24-34 ◽  
Author(s):  
I.Yu. Vladimirov ◽  
A.V. Chistopolskaya
Keyword(s):  
Eye Movements ◽  
Problem Solving ◽  
Eye Tracking ◽  
Eye Movement ◽  
Research Methods ◽  
Integrated System ◽  
Methodological Challenge ◽  
Theoretical Assumptions ◽  
Eye Movement Tracking ◽  
Movement Tracking

TThe paper focuses on the issue of research methods in studying insight. Since the process of insight is quite difficult to verbalize, researchers are presented with the methodological challenge of its objectifica- tion. One of the possible methods is the analysis of gnostic actions as components of a single integrated system of perceptive and thinking activity aimed at problem solving. The paper analyzes past and present periods in the explorations of insight with this method and suggests that eye tracking in problem solving is the most perspective technology. It reviews the studies of G. Knoblich, J. Ellis, E, Grant and M. Spivey, L. Thomas and A. Lleras, D. Kahneman, J.T. Wang and others. The paper compares various characteristics of eye movements and their content and discusses perspectives for the study on insight using the method of eye movement tracking, that is, testing the theoretical assumptions concerning the mechanisms of insight in problem solving and revealing the processes underlying insight.

scholarly journals Eye-tracking in Cultural Studies

2020 ◽  
Vol 27 (4) ◽  
pp. 169-184
Author(s):  
Danuta Smołucha
Keyword(s):  
Cultural Studies ◽  
Eye Tracking ◽  
Detailed Analysis ◽  
Eye Movement ◽  
Market Research ◽  
New Technology ◽  
Field Of View ◽  
Consumer Market ◽  
Eye Movement Tracking ◽  
Movement Tracking

Eye-tracking is a technology based on tracking the movement of eye­balls. The results of the study allow a detailed analysis of the path of sight, and provide answers to the questions: what are we looking at, what we focus on and what we ignore despite that the objects are lo­cated in our field of view. The eye movement tracking is not a new technology, but it is constantly improved and is gaining importance in many fields of science and consumer market research. Contempo­rary culture, oriented to image absorption, is a perfect surface for non-standard eye-tracking research.

scholarly journals Prediction of depression symptoms in individual subjects with face and eye movement tracking

2020 ◽  
pp. 1-9
Author(s):  
Aleks Stolicyn ◽  
J. Douglas Steele ◽  
Peggy Seriès
Keyword(s):  
Eye Movements ◽  
Eye Movement ◽  
Cognitive Neuroscience ◽  
Cognitive Tasks ◽  
Depression Symptoms ◽  
Future Studies ◽  
Medical Specialists ◽  
Symptoms Of Depression ◽  
Eye Movement Tracking ◽  
Movement Tracking

Abstract Background Depression is a challenge to diagnose reliably and the current gold standard for trials of DSM-5 has been in agreement between two or more medical specialists. Research studies aiming to objectively predict depression have typically used brain scanning. Less expensive methods from cognitive neuroscience may allow quicker and more reliable diagnoses, and contribute to reducing the costs of managing the condition. In the current study we aimed to develop a novel inexpensive system for detecting elevated symptoms of depression based on tracking face and eye movements during the performance of cognitive tasks. Methods In total, 75 participants performed two novel cognitive tasks with verbal affective distraction elements while their face and eye movements were recorded using inexpensive cameras. Data from 48 participants (mean age 25.5 years, standard deviation of 6.1 years, 25 with elevated symptoms of depression) passed quality control and were included in a case-control classification analysis with machine learning. Results Classification accuracy using cross-validation (within-study replication) reached 79% (sensitivity 76%, specificity 82%), when face and eye movement measures were combined. Symptomatic participants were characterised by less intense mouth and eyelid movements during different stages of the two tasks, and by differences in frequencies and durations of fixations on affectively salient distraction words. Conclusions Elevated symptoms of depression can be detected with face and eye movement tracking during the cognitive performance, with a close to clinically-relevant accuracy (~80%). Future studies should validate these results in larger samples and in clinical populations.

scholarly journals Techniques Used for Eye Gaze Interfaces and Survey

2015 ◽  
Vol 1 (6) ◽  
pp. 276
Author(s):  
Maria Rashid ◽  
Wardah Mehmood ◽  
Aliya Ashraf
Keyword(s):  
Eye Tracking ◽  
Eye Gaze ◽  
3D Models ◽  
Image Process ◽  
Usability Problems ◽  
Software Algorithms ◽  
Pupil Detection ◽  
Eye Movement Tracking ◽  
2D And 3D ◽  
Movement Tracking

Eye movement tracking is a method that is now-a-days used for checking the usability problems in the contexts of Human Computer Interaction (HCI). Firstly we present eye tracking technology and key elements.We tend to evaluate the behavior of the use when they are using the interace of eye gaze. Used different techniques i.e. electro-oculography, infrared oculography, video oculography, image process techniques, scrolling techniques, different models, probable approaches i.e. shape based approach, appearance based methods, 2D and 3D models based approach and different software algorithms for pupil detection etc. We have tried to compare the surveys based on their geometric properties and reportable accuracies and eventually we conclude this study by giving some prediction regarding future eye-gaze. We point out some techniques by using various eyes properties comprising nature, appearance and gesture or some combination for eye tracking and detection. Result displays eye-gaze technique is faster and better approach for selection than a mouse selection. Rate of error for all the matters determines that there have been no errors once choosing from main menus with eye mark and with mouse. But there have been a chance of errors when once choosing from sub menus in case of eye mark. So, maintain head constantly in front of eye gaze monitor.

scholarly journals A Review of Main Eye Movement Tracking Methods

2021 ◽  
Vol 1802 (4) ◽  
pp. 042066
Author(s):  
Zhaowei Li ◽  
Peiyuan Guo ◽  
Chen Song
Keyword(s):  
Eye Movement ◽  
Eye Movement Tracking ◽  
Movement Tracking

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.

Inspection Times and the Selection Task: What do Eye-Movements Reveal about Relevance Effects?

2003 ◽  
Vol 56 (6) ◽  
pp. 1053-1077 ◽  
Author(s):  
Linden J. Ball ◽  
Erica J. Lucas ◽  
Jeremy N. V. Miles ◽  
Alastair G. Gale
Keyword(s):  
Eye Movement ◽  
Good Evidence ◽  
Time Effect ◽  
Selection Task ◽  
Inspection Time ◽  
Attentional Processing ◽  
Eye Movement Tracking ◽  
Selection Tasks ◽  
Movement Tracking ◽  
Mouse Pointing

Three experiments are reported that used eye-movement tracking to investigate the inspection-time effect predicted by Evans’ (1996) heuristic-analytic account of the Wason selection task. Evans’ account proposes that card selections are based on the operation of relevance-determining heuristics, whilst analytic processing only rationalizes selections. As such, longer inspection times should be associated with selected cards (which are subjected to rationalization) than with rejected cards. Evidence for this effect has been provided by Evans (1996) using computer- presented selection tasks and instructions for participants to indicate (with a mouse pointer) cards under consideration. Roberts (1998b) has argued that mouse pointing gives rise to artefactual support for Evans’ predictions because of biases associated with the task format and the use of mouse pointing. We eradicated all sources of artefact by combining careful task constructions with eye-movement tracking to measure directly on-line attentional processing. All three experiments produced good evidence for the robustness of the inspection-time effect, supporting the predictions of the heuristic-analytic account.

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 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.

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.

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