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The Perception Engineer's Toolkit for Eye-Tracking data analysis 眼动追踪数据分析的感知工程师工具包
ETRA Short Papers Pub Date : 2020-06-02 DOI: 10.1145/3379156.3391366
Thomas C. Kübler
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引用次数: 1
Getting more out of Area of Interest (AOI) analysis with SPLOT 使用SPLOT获得更多的兴趣区域(AOI)分析
ETRA Short Papers Pub Date : 2020-06-02 DOI: 10.1145/3379156.3391372
A. Belopolsky
{"title":"Getting more out of Area of Interest (AOI) analysis with SPLOT","authors":"A. Belopolsky","doi":"10.1145/3379156.3391372","DOIUrl":"https://doi.org/10.1145/3379156.3391372","url":null,"abstract":"To analyze eye-tracking data the viewed image is often divided into areas of interest (AOI). However, the temporal dynamics of eye movements towards the AOI is often lost either in favor of summary statistics (e.g., proportion of fixations or dwell time) or is significantly reduced by “binning” the data and computing the same summary statistic over each time bin. This paper introduces SPLOT: smoothed proportion of looks over time method for analyzing the eye movement dynamics across AOI. SPLOT comprises of a complete workflow, from visualization of the time-course to performing statistical analysis on it using cluster-based permutation testing. The possibilities of SPLOT are illustrated by applying it to an existing dataset of eye movements of radiologists diagnosing a chest X-ray.","PeriodicalId":222437,"journal":{"name":"ETRA Short Papers","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114914388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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