CSV Eye-Tracking Processor is a lightweight JavaScript tool that reads raw eye-tracking CSV files and outputs cleaned, trial-averaged data ready for analysis.
This updated version introduces:
- Baseline calculation used to calculate change
- Trial summary metrics for CS+ and CS- stimuli
- Flexible handling of VR and non-VR datasets
- Automatic generation of summary CSVs with combined trial averages 2-trial blocks grouped by CS+ or CS-
⚠️ Supports VR-based eye-tracking (HTC VIVE Pro Eye) and Tobii eye-tracking datasets created in Project 1.
- Column filtering – Only relevant columns are retained (
Date,LocalTime,Phase,TrialNumber,Step,Stage,Context,leftEyePupilSize,rightEyePupilSize,GameObjectInFocus) - Trial-based aggregation – Computes average pupil size and baseline-corrected pupil size per trial
- Proportion of gaze on objects of interest (GOI) automatically computed per trial
- Baseline handling – Uses instruction phase to calculate baseline for all subsequent trials
- Context classification – Automatically tags data as
AAAorABAdepending on unique context characters - Hardware detection – Differentiates between VR and non-VR data based on headers
- Summary CSV generation – Outputs CS+ and CS- averages for all metrics
- Automatic CSV download – Processed file named
Program_[Hardware]_[ContextType]_DONE.csv
- Open the HTML page in your browser: Live Demo
- Select your raw CSV file using the file input.
- Optionally, enter a program name in the text field (spaces will be removed automatically).
- The script processes the file and downloads a cleaned CSV, including trial averages and summary metrics.
Runs entirely in-browser using JavaScript
FileReader, no server needed.
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Reads CSV and splits into rows/columns
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Filters only the required columns
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Computes:
- Average pupil size per trial
- Baseline-corrected pupil size using instruction-phase baseline
- Proportion of gaze on target objects (GOI)
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Detects baseline switches and updates baseline values dynamically
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Generates a new CSV including:
- Trial-level averages
- Baseline-corrected averages
- GOI metrics
- Combined summary for CS+ and CS- trials
| Name | Major |
|---|---|
| John Bacho | Computer Science |
| Lauren Dunlap | Computer Science |
| Albert Selby | Computer Science / Data Science |
| Marissa Brigger | Neuroscience |
| Alexa Gossett | Neuroscience / Psychology |
| Jace Lander | Software Engineer |
| Corey Schwarz | Computer Science / Data Science |
| Cydney Hudson | Neuroscience |
| Olivia Mullins | Neuroscience |
This project is licensed under CC BY-NC 4.0.
- Email: jbacho22@bw.edu
- Issues: GitHub Issues
Made with ❤️ by the VIBES Lab Team