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Interacting with a Context-Aware Personal Information Sharing System

  • Simon Scerri
  • Andreas Schuller
  • Ismael Rivera
  • Judie Attard
  • Jeremy Debattista
  • Massimo Valla
  • Fabian Hermann
  • Siegfried Handschuh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8008)

Abstract

The di.me userware is a decentralised personal information sharing system with a difference: extracted information and observed personal activities are exploited to automatically recognise personal situations, provide privacy-related warnings, and recommend and/or automate user actions. To enable reasoning, personal information from multiple devices and online sources is integrated and transformed to a machine-interpretable format. Aside from distributed personal information monitoring, an intuitive user interface also enables the i) manual customisation of advanced context-driven services and ii) their semi-automatic adaptation across interactive notifications. In this paper we outline how average users interact with the current user interface, and our plans to improve it.

Keywords

Personal Information Context Element Rule Match Rule Manager Triple Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Simon Scerri
    • 1
  • Andreas Schuller
    • 2
  • Ismael Rivera
    • 1
  • Judie Attard
    • 1
  • Jeremy Debattista
    • 1
  • Massimo Valla
    • 3
  • Fabian Hermann
    • 2
  • Siegfried Handschuh
    • 1
  1. 1.Digital Enterprise Research InstituteNational University of IrelandGalwayIreland
  2. 2.Fraunhofer-Institute for Industrial EngineeringStuttgartGermany
  3. 3.Telecom Italia LabsTorinoItalia

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