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Authors: Gergana Lilligreen ; Nico Henkel and Alexander Wiebel

Affiliation: UX-Vis, Hochschule Worms Univeristy of Applied Sciences, Erenburgerstr. 19, 67549 Worms, Germany

Keyword(s): Augmented Reality, Interaction, Mixed Reality, 3d Interaction, Nature, Outdoor.

Abstract: The implementation of augmented reality in nature and in an environmental education context, is not a common case. Furthermore, augmented reality is often used basically for visualization, which puts users in a rather passive state. In this paper we investigate how near and far interaction using a head-mounted-display can be combined with visualization on a tree outdoors and which of the interaction techniques are suitable for a future use in an environmental education application. We examine the interaction with virtual leaves on the floor combined with a virtual-real interaction with a real tree. Parameters like type of interaction, different real surroundings and time task performance, as well the interplay and connection between them are discussed and investigated. Additionally, process visualization in a nature setting like clouds and rain, and growing of tree roots are included in the augmented reality modules and evaluated in user tests followed by a questionnaire. The results indicate, that for a future educational application both, near and far interaction, can be beneficial. (More)

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Paper citation in several formats:
Lilligreen, G.; Henkel, N. and Wiebel, A. (2022). Near and Far Interaction for Augmented Reality Tree Visualization Outdoors. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - HUCAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 27-35. DOI: 10.5220/0010785700003124

@conference{hucapp22,
author={Gergana Lilligreen. and Nico Henkel. and Alexander Wiebel.},
title={Near and Far Interaction for Augmented Reality Tree Visualization Outdoors},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - HUCAPP},
year={2022},
pages={27-35},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010785700003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - HUCAPP
TI - Near and Far Interaction for Augmented Reality Tree Visualization Outdoors
SN - 978-989-758-555-5
IS - 2184-4321
AU - Lilligreen, G.
AU - Henkel, N.
AU - Wiebel, A.
PY - 2022
SP - 27
EP - 35
DO - 10.5220/0010785700003124
PB - SciTePress