Location-based device grouping and function restriction for collaborative computing environments

This dissertation presents an indoor localization system for collaborative computing environments that is easy to configure and expand. This system implementation relies on Bluetooth technology and provides enough accuracy to localize a cooperating device to pre-defined areas. Then, an application utilizing device location data is presented. In this application, user identities, device types and locations are combined to form spatial identities. Spatial identities are grouped and managed by rule systems which applies function restriction rules on them. Finally, a survey is presented focusing on preferences on function restriction under different roles and environments.