iTrace-Visualize: Visualizing Eye-Tracking Data for Software Engineering Studies.

Joshua Behler, Gino Chiudioni, Alex Ely, Julia Pangonis,Bonita Sharif,Jonathan I. Maletic

2023 IEEE Working Conference on Software Visualization (VISSOFT)(2023)

引用 0|浏览7
暂无评分
摘要
iTrace is community infrastructure that allows software engineering researchers to conduct eye-tracking studies on large realistic code bases. The iTrace infrastructure consists of a set of tools that assist with gathering, processing, and evaluating eye-tracking data on large software projects within an Integrated Development Environment (IDE). A typical eye-tracking study results in millions of raw gazes that are overwhelming to view and sort through. To help researchers view and comprehend this data, iTrace-Visualize is presented. This tool integrates information produced by the iTrace infrastructure into a dynamic video recording of the eye-tracking session. Eye fixations and the scan path between fixations are overlayed on the video. Additionally, the line being examined can be highlighted in the video. iTrace-Visualize lets a researcher replay eye fixations via a video overlay immediately after a study. This serves as quick validation of what was done during the study and can also provide quick insights into what the participants looked at. To illustrate iTrace-Visualize's capabilities, a small preliminary study is performed. Demo Video-https://youtu.be/c1hUFDmBM50
更多
查看译文
关键词
eye tracking,fixations,pipeline
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要