Now showing 1 - 3 of 3
  • Publication
    The Ambient Calendar
    It is becoming difficult to convey information from an everincreasing number of digital sources to users in a condensed and meaningful way. This growth has particularly occurred with peripheral information sources. These are of general interest to users, but do no require or typically command constant focus or attention. Examples include weather, stock data, blogs, and calendars. Ambient Displays present information unobtrusively in an intelligent fashion using abstract visual cues and metaphors and have the possibility of acting as a complement to information filtering systems. We describe the implementation of an ambient display that contains elements representing time, weather, public transport departure times, and the proximity of friends. An initial impact study was undertaken and found a high sense of usefulness and curiosity in the finished application and in the field as a whole.
      999
  • Publication
    PI : perceiver and interpreter of smart home datasets
    Pervasive healthcare systems facilitate various aspects of research including sensor technology, software technology, artificial intelligence and human-computer interaction. Researchers can often benefit from access to real-world data sets against which to evaluate new approaches and algorithms. Whilst more than a dozen data sets are currently publicly available, their use of heterogeneous mark-up impedes easy and widespread use. We describe PI – the Perceiver and semantic Interpreter – which offers a workbench API for the querying, re-structuring and re-purposing of a range of diverse data formats currently in use. The use of a single API reduces cognitive overload, improves access, and supports integration of generic and domain-specific information within a common framework.
      754
  • Publication
    Ontonym : a collection of upper ontologies for developing pervasive systems
    Pervasive systems present the need to interpret large quantities of data from many sources. Context models support developers working with such data by providing a shared representation of the environment on which to base this interpretation. This paper presents a set of requirements for a context model that addresses uncertainty, provenance, sensing and temporal properties of context. Based on these requirements, we describe Ontonym, a set of ontologies that represent core concepts in pervasive computing. We propose a framework for evaluating ontologies in the pervasive computing domain by combining recognised techniques from the literature, and present a preliminary evaluation of Ontonym using these criteria.
      923Scopus© Citations 38