Sample scripts to analyze data recorded on Labvanced
All the data found in this repository was recorded from online studies on Labvanced. You can clone the repository and execute this locally or you can just look at our sample results to infer for instance the accuracy of our eye tracking technology.
In our open access library there are over 250 study templates which you can use. Most of them can easily be adapted to have eye tracking on top. However, we also provide here some explicit example studies demonstrating our eye tracking technology:
- Target Distractor Task
- Infant-Friendly Eye Tracking
- Free Viewing
- Gaze Feedback Test
- Spatial Accuracy Test This study was used in the 'EyeTrackerAccuracy' subfolder to deterine the accuracy of our eye tracking technology.
You can execute this repository with the following steps:
- install Python3.6
- clone the repository (git clone https://github.com/Labvanced/data-analysis.git)
- install the dependencies (pip3 install -r requirements.txt)
- run the jupyter notebook with a python kernel in your IDE (e.g. in VS code: https://code.visualstudio.com/docs/python/jupyter-support)