Julia Pangonis

dblp:366/5176 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none

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Software engineering, systems software and programming languages · 2 · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 since 2021
YearPublicationVenuePosition
2024 Extending iTrace-Visualize to Support Token-based Heatmaps and Region of Interest Scarf Plots for Source Code
abstract
The iTrace Infrastructure is a suite of community eye-tracking tools that enables researchers to conduct eye-tracking studies on software projects in real development environments. The infrastructure consists of tools providing support for data gathering, post processing, and visualization. iTrace-Visualize provides researchers with a way to visualize gathered and post-processed eye-movement data. iTrace involves the analysis of more than just eye-movement data, and includes information gathered from the development environment and the source code. This work describes additions to iTrace-Visualize that provide researchers with visualizations of the gathered source code data. Specifically, a tokenized heatmap of the source code is presented, which shows the source code tokens that are viewed the most. Additionally, a region of interest scarf plot that details the timeline of what parts of the code a participant views is added as a new feature. A usage example comparing student and industry developers is presented to demonstrate the use of these tools. Demo Video: https://youtu.be/0iZcCC8CK94
Joshua Behler, Giovanni Villalobos, Julia Pangonis, Bonita Sharif, Jonathan I. Maletic
VISSOFT3
2023 iTrace-Visualize: Visualizing Eye-Tracking Data for Software Engineering Studies
abstract
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
Joshua Behler, Gino Chiudioni, Alex Ely, Julia Pangonis, Bonita Sharif, Jonathan I. Maletic
VISSOFT4