Publikation: Gaze, Wall, and Racket : Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Reality
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Raypointing, the status-quo pointing technique for virtual reality, is challenging with many occluded and overlapping objects. In this work, we investigate how eye-tracking input can assist the gestural ray pointing in the disambiguation of targets in densely populated scenes. We explore the concept of Gaze + Plane, where the intersection between the user's gaze and a hand-controlled plane facilitates 3D position specification. In particular, two techniques are investigated: Gaze&Wall, which employs an indirect plane positioned in depth using a hand ray, and Gaze&Racket, featuring a hand-held and rotatable plane. In a first experiment, we reveal the speed-error trade-offs between Gaze + Plane techniques. In a second study, we compared the best techniques to newly designed gesture-only techniques, finding that Gaze&Wall is less error-prone and significantly faster. Our research has relevance for spatial interaction, specifically on advanced techniques for complex 3D tasks.
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WAGNER, Uta, Matthias ALBRECHT, Andreas Asferg JACOBSEN, Haopeng WANG, Hans GELLERSEN, Ken PFEUFFER, 2024. Gaze, Wall, and Racket : Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Reality. In: Proceedings of the ACM on Human-Computer Interaction. ACM. 2024, 8(ISS), S. 189-213. eISSN 2573-0142. Verfügbar unter: doi: 10.1145/3698134BibTex
@article{Wagner2024-10-24Racke-74917,
title={Gaze, Wall, and Racket : Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Reality},
year={2024},
doi={10.1145/3698134},
number={ISS},
volume={8},
journal={Proceedings of the ACM on Human-Computer Interaction},
pages={189--213},
author={Wagner, Uta and Albrecht, Matthias and Jacobsen, Andreas Asferg and Wang, Haopeng and Gellersen, Hans and Pfeuffer, Ken}
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