AR Authoring: How to Reduce Errors from the Start?

Camille Truong-Allié, Martin Herbeth, Alexis Paljic

2024

Abstract

Augmented Reality (AR) can be used to efficiently guide users in procedures by overlaying virtual content onto the real world. To facilitate the use of AR for creating procedures, multiple AR authoring tools have been introduced. However, they often assume that authors digitize the procedure perfectly well the first time; this is yet hardly the case. We focus on how AR authoring tools can support authors during the procedure formalization. We introduce three authoring methods. The first one is a video-based method, where a video recording is done before procedure digitization, to improve procedure recency, the second one an in-situ method, where the digitization is made in the procedure environment, to improve context, and the last one is the baseline method, where AR authors digitize from memory. We assess the quality of the procedures resulting from these authoring methods with two simple yet underexplored metrics: the number of errors and the number of versions until the final procedure. We collected feedbacks from AR authors in a field study to validate their significance. We found that participants’ performance was better with the video-based method, followed by the in-situ and then the baseline methods. The field study showed the advantages of the different methods depending on the use case and validated the importance of measuring digitization error.

Paper Citation

in Harvard Style

Truong-Allié C., Herbeth M. and Paljic A. (2024). AR Authoring: How to Reduce Errors from the Start?. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP; ISBN 978-989-758-679-8, SciTePress, pages 408-418. DOI: 10.5220/0012303200003660

in Bibtex Style

@conference{hucapp24,
author={Camille Truong-Allié and Martin Herbeth and Alexis Paljic},
title={AR Authoring: How to Reduce Errors from the Start?},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP},
year={2024},
pages={408-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012303200003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP
TI - AR Authoring: How to Reduce Errors from the Start?
SN - 978-989-758-679-8
AU - Truong-Allié C.
AU - Herbeth M.
AU - Paljic A.
PY - 2024
SP - 408
EP - 418
DO - 10.5220/0012303200003660
PB - SciTePress