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ARETT: Augmented Reality Eye Tracking Toolkit for Head Mounted Displays.

Sebastian Kapp¹, Michael Barz^2,3, Sergey Mukhametov¹

¹Department of Physics, Technische Universität Kaiserslautern, Erwin-Schrödinger-Str. 46, 67663 Kaiserslautern, Germany.

Sensors (Basel, Switzerland)

|April 3, 2021

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This summary is machine-generated.

This study introduces an open-source toolkit for eye tracking in augmented reality (AR) using the Microsoft HoloLens 2. The toolkit enables reliable gaze data acquisition and analysis, achieving high accuracy for AR applications.

Area of Science:

Human-Computer Interaction
Computer Science
Cognitive Science

Background:

Head-mounted displays (HMDs) increasingly feature integrated eye trackers for applications like rendering optimization and user interaction.
Eye tracking in virtual reality (VR) and augmented reality (AR) offers valuable insights for cognitive and educational research.
Existing VR research toolkits are limited, with few specifically addressing AR scenarios.

Purpose of the Study:

To present an open-source eye tracking toolkit for reliable gaze data acquisition in AR.
To provide an accompanying R package for seamless data analysis.
To evaluate the spatial accuracy and precision of the integrated eye tracker on the Microsoft HoloLens 2.

Main Methods:

Development of an open-source eye tracking toolkit integrated with Unity 3D.

Keywords:

accuracy augmented reality eye tracking precision toolkit

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Creation of a companion R package for data analysis.

Evaluation of the HoloLens 2's integrated eye tracker's spatial accuracy and precision with 21 participants, using fixation targets at varying distances and angles.

Main Results:

The developed toolkit facilitates reliable gaze data acquisition in AR environments.
The integrated eye tracker on the HoloLens 2 demonstrates an average angular accuracy of 0.83 degrees.
The system achieves an average precision of 0.27 degrees during user rest, comparable to leading mobile eye trackers.

Conclusions:

The presented toolkit and R package offer a robust solution for eye tracking research in AR.
The findings validate the performance of the HoloLens 2's integrated eye tracker for AR applications.
This work supports further research into visual attention and user interaction within AR settings.