{"title":"Diagnosis of spatial thinking using eye tracking and pupilometry","authors":"B. Fehringer","doi":"10.1145/2857491.2888585","DOIUrl":null,"url":null,"abstract":"The aim of the intended dissertation study is to show the diagnostic potential of eye tracking for a spatial thinking test. To this end, a structural overview of different analyzing techniques for eye tracking data will be provided using several measures. For a new developed test for the spatial cognitive ability visualization, the results of the analyzed eye tracking data will be linked to reaction time, accuracy and associated cognitive processes. It is intended to explore which information can be obtained by pupilometry and the systematic combination of the dimensions of eye movement data (location and time). As indicators for cognitive processes and cognitive workload, the resulting gaze patterns and the computed Index of Cognitive Activity, ICA [Marshall 2002] will be connected to the participant's performance in a test of the spatial ability factor visualization. The results will contribute to the question what eye behavioral measures are able to predict participants' abilities and provide insights into associated cognitive processes.","PeriodicalId":245338,"journal":{"name":"Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2857491.2888585","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
The aim of the intended dissertation study is to show the diagnostic potential of eye tracking for a spatial thinking test. To this end, a structural overview of different analyzing techniques for eye tracking data will be provided using several measures. For a new developed test for the spatial cognitive ability visualization, the results of the analyzed eye tracking data will be linked to reaction time, accuracy and associated cognitive processes. It is intended to explore which information can be obtained by pupilometry and the systematic combination of the dimensions of eye movement data (location and time). As indicators for cognitive processes and cognitive workload, the resulting gaze patterns and the computed Index of Cognitive Activity, ICA [Marshall 2002] will be connected to the participant's performance in a test of the spatial ability factor visualization. The results will contribute to the question what eye behavioral measures are able to predict participants' abilities and provide insights into associated cognitive processes.