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Cited by 331

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Gaze + pinch interaction in virtual reality

Pfeuffer, Ken, Mayer, Benedikt, Mardanbegi, Diako, Gellersen, Hans·2017·Proceedings of the 5th Symposium on Spatial User Interaction

Abstract

Virtual reality affords experimentation with human abilities beyond what's possible in the real world, toward novel senses of interaction. In many interactions, the eyes naturally point at objects of interest while the hands skilfully manipulate in 3D space. We explore a particular combination for virtual reality, the Gaze + Pinch interaction technique. It integrates eye gaze to select targets, and indirect freehand gestures to manipulate them. This keeps the gesture use intuitive like direct physical manipulation, but the gesture's effect can be applied to any object the user looks at --- whether located near or far. In this paper, we describe novel interaction concepts and an experimental system prototype that bring together interaction technique variants, menu interfaces, and applications into one unified virtual experience. Proof-of-concept application examples were developed and informally tested, such as 3D manipulation, scene navigation, and image zooming, illustrating a range of advanced interaction capabilities on targets at any distance, without relying on extra controller devices.

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Metadata

Authors
Pfeuffer, K., Mayer, B., Mardanbegi, D., & Gellersen, H.
Venue
Proceedings of the 5th Symposium on Spatial User Interaction
Publisher
ACM
Published
2017-10-16
Pages
99-108
OpenAlex
W2764065835
Cited by
331
References
36
FWCI
8.97
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Gaze + pinch interaction in virtual reality. https://app.cochat.ai/papers/10.1145/3131277.3132180
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Pfeuffer, K., Mayer, B., Mardanbegi, D., & Gellersen, H. (2017). Gaze + pinch interaction in virtual reality. Proceedings of the 5th Symposium on Spatial User Interaction. https://doi.org/10.1145/3131277.3132180

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.