Eye-Hand Movement of Objects in Near Space

Hand-tracking in Extended Reality (XR) enables moving objects in near space with direct hand gestures, to pick, drag and drop objects in 3D. We explore the use of eye-tracking to reduce the effort involved in this interaction. As the eyes naturally look ahead to the target for a drag operation, the principal idea is to map the translation of the object in the image plane to gaze, such that the hand only needs to control the depth component of the operation. We demo several applications we build for 3D manipulations, including area selection, 3D path specification, and a "Bejeweled" inspired game, showing potential for effortless drag-and-drop actions in 3D space. This demonstration includes the study apparatus and the applications from a paper that will be presented at UIST’24 with the same title [11].

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1145/3696762.3698044
Citations
2
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.74

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article

Eye-Hand Movement of Objects in Near Space

Andreas Asferg Jacobsen, Hans Gellersen, Uta Wagner, Tiare Feuchtner et al.
2 citations
Gaze Tracking and Assistive Technology
0.74
article

Eye-Hand Movement of Objects in Near Space

Andreas Asferg Jacobsen, Hans Gellersen, Uta Wagner, Tiare Feuchtner, Ken Pfeuffer
article en
2 citations

Abstract

Hand-tracking in Extended Reality (XR) enables moving objects in near space with direct hand gestures, to pick, drag and drop objects in 3D. We explore the use of eye-tracking to reduce the effort involved in this interaction. As the eyes naturally look ahead to the target for a drag operation, the principal idea is to map the translation of the object in the image plane to gaze, such that the hand only needs to control the depth component of the operation. We demo several applications we build for 3D manipulations, including area selection, 3D path specification, and a "Bejeweled" inspired game, showing potential for effortless drag-and-drop actions in 3D space. This demonstration includes the study apparatus and the applications from a paper that will be presented at UIST’24 with the same title [11].

University of Konstanz (DE), Aarhus University (DK), Lancaster University (GB), HTWG Hochschule Konstanz - Technik, Wirtschaft und Gestaltung (DE)
European Commission
Openalex Percentile: Top 27%
Gaze Tracking and Assistive Technology
0.74
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