{"title":"Advanced Gaze Analytics Dashboard","authors":"Gavindya Jayawardena, Vikas Ashok, Sampath Jayarathna","doi":"arxiv-2409.06628","DOIUrl":null,"url":null,"abstract":"Eye movements can provide informative cues to understand human visual\nscan/search behavior and cognitive load during varying tasks. Visualizations of\nreal-time gaze measures during tasks, provide an understanding of human\nbehavior as the experiment is being conducted. Even though existing eye\ntracking analysis tools provide calculation and visualization of eye-tracking\ndata, none of them support real-time visualizations of advanced gaze measures,\nsuch as ambient or focal processing, or eye-tracked measures of cognitive load.\nIn this paper, we present an eye movements analytics dashboard that enables\nvisualizations of various gaze measures, fixations, saccades, cognitive load,\nambient-focal attention, and gaze transitions analysis by extracting eye\nmovements from participants utilizing common off-the-shelf eye trackers. We\nvalidate the proposed eye movement visualizations by using two publicly\navailable eye-tracking datasets. We showcase that, the proposed dashboard could\nbe utilized to visualize advanced eye movement measures generated using\nmultiple data sources.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"60 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Eye movements can provide informative cues to understand human visual
scan/search behavior and cognitive load during varying tasks. Visualizations of
real-time gaze measures during tasks, provide an understanding of human
behavior as the experiment is being conducted. Even though existing eye
tracking analysis tools provide calculation and visualization of eye-tracking
data, none of them support real-time visualizations of advanced gaze measures,
such as ambient or focal processing, or eye-tracked measures of cognitive load.
In this paper, we present an eye movements analytics dashboard that enables
visualizations of various gaze measures, fixations, saccades, cognitive load,
ambient-focal attention, and gaze transitions analysis by extracting eye
movements from participants utilizing common off-the-shelf eye trackers. We
validate the proposed eye movement visualizations by using two publicly
available eye-tracking datasets. We showcase that, the proposed dashboard could
be utilized to visualize advanced eye movement measures generated using
multiple data sources.