12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Scatterbox
View graph of relations

« Back

Scatterbox: context-aware message management

Research output: Contribution to journalJournal article

Published

  • Stephen Knox
  • Ross Shannon
  • Lorcan Coyle
  • Adrian Clear
  • Simon Dobson
  • Aaron Quigley
  • Paddy Nixon
Journal publication date09/2008
JournalRevue d'Intelligence Artificielle
Journal number5
Volume22
Number of pages20
Pages549-568
Original languageEnglish

Abstract

Applications that rely on mobile devices for user interaction must be mindful of the user’s limited attention, which will typically be split between several competing tasks. Content delivery in such systems must be adapted closely to users’ evolving situations and shifting priorities, in a way that cannot be accomplished using static filtering determined a priori. We propose a more dynamic context-driven approach to content delivery. We demonstrate our approach using Scatterbox, a pervasive computing application we have developed which performs sensor fusion to derive a user’s current situation. Based on the user’s level of interruptibility, Scatterbox prioritises and forwards relevant messages to their mobile phone. We draw conclusions from a preliminary evaluation of the system.