Home > Research > Publications & Outputs > Scatterbox


Text available via DOI:

View graph of relations

Scatterbox: context-aware message management

Research output: Contribution to journalJournal article

  • Stephen Knox
  • Ross Shannon
  • Lorcan Coyle
  • Adrian Clear
  • Simon Dobson
  • Aaron Quigley
  • Paddy Nixon
<mark>Journal publication date</mark>09/2008
<mark>Journal</mark>Revue d'Intelligence Artificielle
Issue number5
Number of pages20
Pages (from-to)549-568
<mark>Original language</mark>English


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.