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UbiComp2011: ContextCapture (Poster)
 

UbiComp2011: ContextCapture (Poster)

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This poster introduces an experimental application to demonstrate the usage of context-based awareness cues in status updates, especially in SNS’s (Social Networking Services). The presented ...

This poster introduces an experimental application to demonstrate the usage of context-based awareness cues in status updates, especially in SNS’s (Social Networking Services). The presented application allows users to add different descriptions of context information to their Twitter messages and Facebook status updates in a narrative format.

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    UbiComp2011: ContextCapture (Poster) UbiComp2011: ContextCapture (Poster) Document Transcript

    • VTT TECHNICAL RESEARCH CENTRE OF FINLANDwww.vtt.fi ContextCapture Using Context-based Awareness Cues to Create Story-like Status Updates Ville Antila (ville.antila@vtt.fi), Jussi Polet (jussi.polet@vtt.fi)The prototype consists of a mobile application and aweb application, which is integrated with Facebookand Twitter. The mobile application gathers contextdata from the device itself, available sensors andfrom nearby devices via Bluetooth. The sensedcontext information is presented to the user alongwith proposals for other descriptions, which havebeen used to describe similar contexts earlier. Afterselecting the context items and their abstractions, thestatus update is sent to the server application, whichstores the received context data into a semanticmodel and creates a story-like status update forFacebook and / or Twitter.Goals The application demonstrates technical aspects of collaborative context e.g. how the contextual information can be exchanged between different devices and used for UX-related testing issues. Machine learning can be enabled by saving the selected abstractions and associated raw data. This will create a collectively created database of context semantics that can be shared between users. The stored data can be used for future purposes, such as the basis for situation-aware recommendations.Context gathering Solution The context recognition is based on different • mobile application and a related web applica- sensors of activity such as : tion integrated with Facebook and Twitter • the accelerometer • easy and fast addition of context-awareness • ambient light sensor cues into status updates • GPS data • pre- and user-defined context descriptions • open applications on the device and five most used description recommenda- • device system information tions • nearby Bluetooth devices • WLAN access points Cross-platform smartphone support : • Android 2.2 + Context descriptions are shown to the user based • MeeGo on this data. • Symbian^3 (also Symbian S60 5th)