학술논문

Selection Performance and Reliability of Eye and Head Gaze Tracking Under Varying Light Conditions
Document Type
Conference
Source
2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR) VR Virtual Reality and 3D User Interfaces (VR), 2024 IEEE Conference. :546-556 Mar, 2024
Subject
Computing and Processing
Three-dimensional displays
Lighting
Gaze tracking
User interfaces
Environmental factors
Reliability
Augmented reality
Human-centered computing
Human computer interaction (HCI)
Interaction paradigms
Mixed / augmented reality
Language
ISSN
2642-5254
Abstract
Augmented Reality (AR) applications increasingly rely on eye and head gaze tracking for user interaction, with their efficacy influenced by environmental factors such as spatial arrangements and lighting conditions. This paper presents two studies that examine how these variables affect the performance of eye and head gaze tracking in AR environments. While eye tracking partially delivered faster results, its performance exhibited greater variability, especially under dynamic lighting conditions. Conversely, head gaze tracking, while providing more consistent results, showed a notable reduction in accuracy in environments with fluctuating light levels. Furthermore, the spatial properties of the environment had notable implications on both tracking methods. Our research demonstrates that both spatial properties and lighting conditions are key determinants in the choice of a tracking method, underscoring the need for AR systems that can dynamically adapt to these environmental variables.