Analyzing Eye-gaze Interaction Modalities in Menu Navigation

R. Grosse, D. Lenne, I. Thouvenin, S. Aubry

2018

Abstract

While eye-gaze interaction for disabled people proved to work fine, its usability in general cases is still far from being integrated. In order to design a wearable interface for military products, several modalities using the eye were tested. We proposed a new modality named Relocated DwellTime which aimed at giving more control than existing modalities. We then conceived an experimental military representative observation task where 4 interaction modalities using the eye were tested (2 eye-only and 2 multimodal methods using an external physical button). The experiment evaluated the effect of two types of menus, circular and linear, on eye-gaze interactions performances. Significant results were observed regarding interaction modalities. The modality adding a physical button proved significantly more efficient than eye-only methods in this context and instant opening of menus was rather accepted despite the hypothesis of the literature. No impact of the menu type was observed.

Paper Citation

in Harvard Style

Grosse R., Lenne D., Thouvenin I. and Aubry S. (2018). Analyzing Eye-gaze Interaction Modalities in Menu Navigation. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 3: HUCAPP; ISBN 978-989-758-288-2, SciTePress, pages 17-25. DOI: 10.5220/0006538000170025

in Bibtex Style

@conference{hucapp18,
author={R. Grosse and D. Lenne and I. Thouvenin and S. Aubry},
title={Analyzing Eye-gaze Interaction Modalities in Menu Navigation},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 3: HUCAPP},
year={2018},
pages={17-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006538000170025},
isbn={978-989-758-288-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 3: HUCAPP
TI - Analyzing Eye-gaze Interaction Modalities in Menu Navigation
SN - 978-989-758-288-2
AU - Grosse R.
AU - Lenne D.
AU - Thouvenin I.
AU - Aubry S.
PY - 2018
SP - 17
EP - 25
DO - 10.5220/0006538000170025
PB - SciTePress