Eliciting user-defined zenithal gestures for privacy preferences
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.
Año de publicación:
2021
Keywords:
- gesture elicitation study
- public space
- ambient intelligence
- Zenithal gestures
- privacy
- Zenithal camera
- Gesture-based user interfaces
Fuente:

Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Factores humanos y ergonomía
Áreas temáticas:
- Ciencias de la computación
- Programación informática, programas, datos, seguridad