FocusFlow: Leveraging Focal Depth for Gaze Interaction in Virtual Reality
August 10, 2023 Β· Declared Dead Β· π ACM Symposium on User Interface Software and Technology
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Authors
Chenyang Zhang, Tiansu Chen, Rohan Nedungadi, Eric Shaffer, Elahe Soltanaghai
arXiv ID
2308.05352
Category
cs.HC: Human-Computer Interaction
Citations
1
Venue
ACM Symposium on User Interface Software and Technology
Last Checked
4 months ago
Abstract
Current gaze input methods for VR headsets predominantly utilize the gaze ray as a pointing cursor, often neglecting depth information in it. This study introduces FocusFlow, a novel gaze interaction technique that integrates focal depth into gaze input dimensions, facilitating users to actively shift their focus along the depth dimension for interaction. A detection algorithm to identify the user's focal depth is developed. Based on this, a layer-based UI is proposed, which uses focal depth changes to enable layer switch operations, offering an intuitive hands-free selection method. We also designed visual cues to guide users to adjust focal depth accurately and get familiar with the interaction process. Preliminary evaluations demonstrate the system's usability, and several potential applications are discussed. Through FocusFlow, we aim to enrich the input dimensions of gaze interaction, achieving more intuitive and efficient human-computer interactions on headset devices.
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