H<sub>2</sub>E: Hand, Head, Eye a Multimodal Cascade of Natural Inputs

Eye-based interaction techniques for extended reality, such as gaze and pinch, are simple to use however suffer from input precision issues. We present H<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>E, an integrated fine and coarse-grained pointing framework that cascades Hand, Head, and Eye inputs. We further introduce the MagicPinch gesture as an example of the framework, which allows for smooth transitioning between fine and coarse-grained pointing. When combined together, after users initiate a pinch gesture, a cursor appears midway during the pinch at the position of the gaze, which can be dragged by head pointing if needed before pinch confirmation. This has the advantage that it can add a precision component without changing the semantics of the technique. In this paper, we describe the design of the H<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>E framework and implementation of the MagicPinch technique. Furthermore, we present an evaluation of our method in a Fitts-based user study, exploring the speed-accuracy trade-offs against a gaze and pinch interaction baseline.

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Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00026
Citations
1
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
1.94
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article

H2E: Hand, Head, Eye a Multimodal Cascade of Natural Inputs

Eric J. Gonzalez, Vrushank Phadnis, Mar González-Franco, Hans Gellersen et al.
1 citations
Gaze Tracking and Assistive Technology
1.94
article

H2E: Hand, Head, Eye a Multimodal Cascade of Natural Inputs

Eric J. Gonzalez, Vrushank Phadnis, Mar González-Franco, Hans Gellersen, Ken Pfeuffer, Khushman Patel
article en
1 citations

Abstract

Eye-based interaction techniques for extended reality, such as gaze and pinch, are simple to use however suffer from input precision issues. We present H<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>E, an integrated fine and coarse-grained pointing framework that cascades Hand, Head, and Eye inputs. We further introduce the MagicPinch gesture as an example of the framework, which allows for smooth transitioning between fine and coarse-grained pointing. When combined together, after users initiate a pinch gesture, a cursor appears midway during the pinch at the position of the gaze, which can be dragged by head pointing if needed before pinch confirmation. This has the advantage that it can add a precision component without changing the semantics of the technique. In this paper, we describe the design of the H<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>E framework and implementation of the MagicPinch technique. Furthermore, we present an evaluation of our method in a Fitts-based user study, exploring the speed-accuracy trade-offs against a gaze and pinch interaction baseline.

Google (United States) (US), Aarhus University (DK)
Openalex Percentile: Top 17%
Gaze Tracking and Assistive Technology
1.94
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