{"title":"Techniques for Visual Analysis of Eye Tracking Data","authors":"Shantanu V. Kulkarni, Sangeeta K","doi":"10.1109/ICGCIOT.2018.8753026","DOIUrl":null,"url":null,"abstract":"Eye tracking is the process of estimating as well as recording gaze positions and eye movements of an individual. Eye tracking technology has many statistical factors which are significant in generating knowledge and values. In most of the approaches an insight is presented with the help of traditional attention maps as well as gaze plots. There is no any single visualization type for all possible requirements. The appropriate choice of a visualization method depends on the format of the data, analysis task specific to the requirements. The objective of this work is to visualize eye tracking data using various visualization especially 3D visuals and animation of eye gazes. These implementations have respective benefits over the other methods of eye tracking visualizations and can be used to generate more knowledge and value extraction from eye tracking metrics.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGCIOT.2018.8753026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Eye tracking is the process of estimating as well as recording gaze positions and eye movements of an individual. Eye tracking technology has many statistical factors which are significant in generating knowledge and values. In most of the approaches an insight is presented with the help of traditional attention maps as well as gaze plots. There is no any single visualization type for all possible requirements. The appropriate choice of a visualization method depends on the format of the data, analysis task specific to the requirements. The objective of this work is to visualize eye tracking data using various visualization especially 3D visuals and animation of eye gazes. These implementations have respective benefits over the other methods of eye tracking visualizations and can be used to generate more knowledge and value extraction from eye tracking metrics.