Eliciting User-defined Zenithal Gestures for Privacy Preferences

Francisco J. Martínez-Ruiz, Santiago Villarreal-Narvaez

2021

Abstract

Common spaces are full of cameras recording our pictures purposely or unintentionally, which causes privacy concerns. Instead of specifying our privacy preferences on one device or sensor at a time, we want to capture them once for an entire building through zenithal gestures in order to notify all devices in this building. For this purpose, we present an elicitation study of gestures elicited from thirty participants to notify reactions, acceptance or refusal of actions, via gestures recognized by a zenithal camera placed on the ceiling at the entrance. This perspective is different from the tradition frontal or lateral perspective found in other studies. After classifying the results into forty-six gesture classes, we suggest a consensus set of ten user-defined zenithal gestures to be used in a common space inside a building.

Paper Citation

in Harvard Style

Martínez-Ruiz F. and Villarreal-Narvaez S. (2021). Eliciting User-defined Zenithal Gestures for Privacy Preferences. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 2: HUCAPP; ISBN 978-989-758-488-6, SciTePress, pages 205-213. DOI: 10.5220/0010259802050213

in Bibtex Style

@conference{hucapp21,
author={Francisco J. Martínez-Ruiz and Santiago Villarreal-Narvaez},
title={Eliciting User-defined Zenithal Gestures for Privacy Preferences},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 2: HUCAPP},
year={2021},
pages={205-213},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010259802050213},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 2: HUCAPP
TI - Eliciting User-defined Zenithal Gestures for Privacy Preferences
SN - 978-989-758-488-6
AU - Martínez-Ruiz F.
AU - Villarreal-Narvaez S.
PY - 2021
SP - 205
EP - 213
DO - 10.5220/0010259802050213
PB - SciTePress