StickyPie: A Gaze-Based, Scale-Invariant Marking Menu Optimized for AR/VR

Author:

Ahn Sunggeun1,Santosa Stephanie2,Parent Mark2,Wigdor Daniel3,Grossman Tovi4,Giordano Marcello2

Affiliation:

1. Chatham Labs, Toronto, Ontario, Canada and HCI Lab, School of Computing, KAIST Daejeon, Korea, Republic of

2. Chatham Labs, Toronto, Ontario, Canada

3. Chatham Labs, Toronto, Ontario, Canada and University of Toronto Toronto, Ontario, Canada

4. Department of Computer Science, University of Toronto, Canada

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FocusFlow: Leveraging Focal Depth for Gaze Interaction in Virtual Reality;Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology;2023-10-29

2. PalmGazer: Unimanual Eye-hand Menus in Augmented Reality;Proceedings of the 2023 ACM Symposium on Spatial User Interaction;2023-10-13

3. Vergence Matching: Inferring Attention to Objects in 3D Environments for Gaze-Assisted Selection;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

4. Dwell Selection with ML-based Intent Prediction Using Only Gaze Data;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2022-09-06

5. Lattice Menu: A Low-Error Gaze-Based Marking Menu Utilizing Target-Assisted Gaze Gestures on a Lattice of Visual Anchors;CHI Conference on Human Factors in Computing Systems;2022-04-29

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