Intelligent context-sensitive interactions on desktop and the web

  • Authors:
  • Alan Dix;Tiziana Catarci;Benjamin Habegger;Yannis loannidis;Azrina Kamaruddin;Akrivi Katifori;Giorgos Lepouras;Antonella Poggi;Devina Ramduny-Ellis

  • Affiliations:
  • Lancaster University, Lancaster, UK;Universita' di Roma "La Sapienza", Rome, Italy;Universita' di Roma "La Sapienza", Rome, Italy;University of Athens, Athens, Hellas (Greece);Lancaster University, Lancaster, UK;University of Athens, Athens, Hellas (Greece);University of Athens, Athens, Hellas (Greece) and University of Peloponnese, Tripolis, Hellas (Greece);Universita' di Roma "La Sapienza", Rome, Italy;Lancaster University, Lancaster, UK

  • Venue:
  • Proceedings of the international workshop in conjunction with AVI 2006 on Context in advanced interfaces
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we describe briefly three systems: onCue a desktop internet-access toolbar, Snip!t a web-based bookmarking application and ontoPIM an ontology-based personal task-management system. These embody context issues to differing degrees, and we use them to exemplify more general issues concerning the use of contextual information in 'intelligent' interfaces. We look at issues relating to interaction and 'appropriate intelligence', at different types of context that arise and at architectural lessons we have learnt. We also highlight outstanding problems, in particular the need to computationally describe and communicate context where reasoning and inference is distributed.