We present an open-source pipeline for eXtended Reality (XR) that helps researchers and developers integrate eye-tracking metrics into their studies. Built with the Microsoft Mixed Reality Toolkit 3 (MRTK3) and Unity, this pipeline enables recording, replaying, and analyzing gaze data on virtual humans, static objects, and dynamic targets. The pipeline includes demo environments with pre-defined Areas of Interest (AOIs), scripts for extracting head-mounted display (HMD) and eye-tracking data to CSV files, and an R-based analysis script for analyzing first-order gaze metrics (e.g., fixations and saccades). By open sourcing this toolkit, we seek to aid applied researchers in cognitive psychology and human-computer interaction in gathering objective metrics. Our comprehensive documentation also ensures accessibility for newcomers, facilitating a deeper understanding and reproducibility of eye-tracking methodologies. Future work will focus on refining automation techniques and evaluating the pipeline’s effectiveness in an introductory eye-tracking course.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

ReplEye: An Open-Source Pipeline for Gathering, Analyzing, and Replaying Eye-Tracking Data with MRTK

  • Deyrel Diaz,
  • Samaneh Zamanifard,
  • Matias Volonte,
  • Andrew T. Duchowski

摘要

We present an open-source pipeline for eXtended Reality (XR) that helps researchers and developers integrate eye-tracking metrics into their studies. Built with the Microsoft Mixed Reality Toolkit 3 (MRTK3) and Unity, this pipeline enables recording, replaying, and analyzing gaze data on virtual humans, static objects, and dynamic targets. The pipeline includes demo environments with pre-defined Areas of Interest (AOIs), scripts for extracting head-mounted display (HMD) and eye-tracking data to CSV files, and an R-based analysis script for analyzing first-order gaze metrics (e.g., fixations and saccades). By open sourcing this toolkit, we seek to aid applied researchers in cognitive psychology and human-computer interaction in gathering objective metrics. Our comprehensive documentation also ensures accessibility for newcomers, facilitating a deeper understanding and reproducibility of eye-tracking methodologies. Future work will focus on refining automation techniques and evaluating the pipeline’s effectiveness in an introductory eye-tracking course.