Back to Search Start Over

Optimising virtual object position for efficient eye-gaze interaction in Hololens2.

Authors :
Mirbagheri, Mahya
Chau, Tom
Source :
Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Dec2024, Vol. 12 Issue 1, p1-12, 12p
Publication Year :
2024

Abstract

Our study explored eye-tracking technology in the Hololens2 HMD. We assessed the effectiveness of eye-gaze interactions in a 3D environment, particularly in text entry applications. Existing recommendations for the placement and size of virtual objects are often followed without empirical validation. Therefore, we evaluated text entry target selection rates within the manufacturer's specified optimal gaze interaction zone. We measured the spatial accuracy and precision of eye gaze data and optimised target positions for enhanced text entry performance. By establishing confidence ellipses covering 95% of gaze points per target, we derived an Area of Interest (AOI) recalibration function. Applying a receiver operating characteristic-based method, we quantified the recalibrated tracker's performance at various AOIs. Our results indicate an optimal recalibrated AOI radius is 0.036 m, and the ideal object-plane distance from the eye-plane is 2.25 m. This recalibrated specification allows to efficiently interact with Hololens2 via eye movement, achieving target selection rates exceeding 90%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21681163
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation
Publication Type :
Academic Journal
Accession number :
181234081
Full Text :
https://doi.org/10.1080/21681163.2024.2337765