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Eliciting User-Defined Zenithal Gestures for Privacy Preferences

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Název: Eliciting User-Defined Zenithal Gestures for Privacy Preferences
Autoři: Francisco Martinez Ruiz, Villarreal Narvaez, Santiago, 5th International Conference on Human-Computer Interaction Theory and Applications
Přispěvatelé: UCL - SSH/LouRIM - Louvain Research Institute in Management and Organizations
Rok vydání: 2021
Sbírka: DIAL@USL-B (Université Saint-Louis, Bruxelles)
Témata: Ambient Intelligence, Gesture-based User Interfaces, Gesture Elicitation Study, Privacy, Public space, Zenithal camera, Zenithal Gestures
Popis: 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 traditional 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
Druh dokumentu: conference object
Jazyk: English
Relation: info:eu-repo/grantAgreement/SPW-DGO6, Région Wallonne/MecaTech/7901; boreal:238624; http://hdl.handle.net/2078.1/238624
DOI: 10.5220/0010259802050213
Dostupnost: http://hdl.handle.net/2078.1/238624
https://doi.org/10.5220/0010259802050213
Rights: info:eu-repo/semantics/openAccess
Přístupové číslo: edsbas.FCFEE208
Databáze: BASE
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  Data: Eliciting User-Defined Zenithal Gestures for Privacy Preferences
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  Data: 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 traditional 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
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