Lattice Menu: A Low-Error Gaze-Based Marking Menu Utilizing Target-Assisted Gaze Gestures on a Lattice of Visual Anchors
Taejun Kim, Auejin Ham, Sunggeun Ahn, Geehyuk Lee
Abstract
We present Lattice Menu, a gaze-based marking menu utilizing a lattice of visual anchors that helps perform accurate gaze pointing for menu item selection. Users who know the location of the desired item can leverage target-assisted gaze gestures for multilevel item selection by looking at visual anchors over the gaze trajectories. Our evaluation showed that Lattice Menu exhibits a considerably low error rate ( 1%) and a quick menu selection time (1.3-1.6 s) for expert usage across various menu structures (4 × 4 × 4 and 6 × 6 × 6) and sizes (8, 10 and 12°). In comparison with a traditional gaze-based marking menu that does not utilize visual targets, Lattice Menu showed remarkably ( 5 times) fewer menu selection errors for expert usage. In a post-interview, all 12 subjects preferred Lattice Menu, and most subjects (8 out of 12) commented that the provisioning of visual targets facilitated more stable menu selections with reduced eye fatigue.
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Cited by top-tier papers3
- Dwell Selection with ML-based Intent Prediction Using Only Gaze DataToshiya Isomoto, Shota Yamanaka, Buntarou ShizukiUbiComp 2022 · 33 citations
- GazeNoter: Co-Piloted AR Note-Taking via Gaze Selection of LLM Suggestions to Match Users' IntentionsHsin-Ruey Tsai, Shih-Kang Chiu, Bryan WangCHI 2025 · 8 citations
- The People's Gaze: Co-Designing and Refining Gaze Gestures with Users and ExpertsYaxiong Lei, Xinya Gong, Shijing He, Yafei Wang et al.CHI 2026 · 6 citations
Builds on2
- StickyPie: A Gaze-Based, Scale-Invariant Marking Menu Optimized for AR/VRSunggeun Ahn, Stephanie Santosa, Mark Parent, Daniel Wigdor et al.CHI 2021 · 24 citations
- Investigating the Necessity of Delay in Marking Menu InvocationJay Henderson, Sylvain Malacria, Mathieu Nancel, Edward LankCHI 2020 · 17 citations
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