Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Implicit personalization of public environments using bluetooth
CHI '08 Extended Abstracts on Human Factors in Computing Systems
CHI '08 Extended Abstracts on Human Factors in Computing Systems
CityFlocks: designing social navigation for urban mobile information systems
Proceedings of the 7th ACM conference on Designing interactive systems
Social signal processing: state-of-the-art and future perspectives of an emerging domain
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Proceedings of the 6th ACM conference on Embedded network sensor systems
ItchyFeet: motivations for urban geospatial tagging
Proceedings of the 5th Nordic conference on Human-computer interaction: building bridges
Instant Places: Using Bluetooth for Situated Interaction in Public Displays
IEEE Pervasive Computing
Suburban nostalgia: the community building potential of urban screens
Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat
FriendSensing: recommending friends using mobile phones
Proceedings of the third ACM conference on Recommender systems
SocialCircuits: the art of using mobile phones for modeling personal interactions
Proceedings of the ICMI-MLMI '09 Workshop on Multimodal Sensor-Based Systems and Mobile Phones for Social Computing
Mobile cloud computing: A survey
Future Generation Computer Systems
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We leverage the ubiquity of bluetooth-enabled devices and propose a decentralized, web-based architecture that allows users to share their location by following each other in the style of Twitter. We demonstrate a prototype that operates in a large building which generates a dataset of detected bluetooth devices at a rate of ~30 new devices per day, including the respective location where they were last detected. Users then query the dataset using their unique bluetooth ID and share their current location with their followers by means of unique URIs that they control. Our separation between producers (the building) and consumers (the users) of bluetooth device location data allows us to create socially-aware applications that respect user's privacy while limiting the software necessary to run on mobile devices to just a web browser.