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Scatterbox: context-aware message management

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Scatterbox: context-aware message management. / Knox, Stephen; Shannon, Ross; Coyle, Lorcan et al.
In: Revue d'Intelligence Artificielle, Vol. 22, No. 5, 09.2008, p. 549-568.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Knox, S, Shannon, R, Coyle, L, Clear, A, Dobson, S, Quigley, A & Nixon, P 2008, 'Scatterbox: context-aware message management', Revue d'Intelligence Artificielle, vol. 22, no. 5, pp. 549-568. https://doi.org/10.3166/ria.22.549-568

APA

Knox, S., Shannon, R., Coyle, L., Clear, A., Dobson, S., Quigley, A., & Nixon, P. (2008). Scatterbox: context-aware message management. Revue d'Intelligence Artificielle, 22(5), 549-568. https://doi.org/10.3166/ria.22.549-568

Vancouver

Knox S, Shannon R, Coyle L, Clear A, Dobson S, Quigley A et al. Scatterbox: context-aware message management. Revue d'Intelligence Artificielle. 2008 Sept;22(5):549-568. doi: 10.3166/ria.22.549-568

Author

Knox, Stephen ; Shannon, Ross ; Coyle, Lorcan et al. / Scatterbox : context-aware message management. In: Revue d'Intelligence Artificielle. 2008 ; Vol. 22, No. 5. pp. 549-568.

Bibtex

@article{9a2c2ada6c9d45f2bdbb0629690d0c54,
title = "Scatterbox: context-aware message management",
abstract = "Applications that rely on mobile devices for user interaction must be mindful of the user{\textquoteright}s limited attention, which will typically be split between several competing tasks. Content delivery in such systems must be adapted closely to users{\textquoteright} 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{\textquoteright}s current situation. Based on the user{\textquoteright}s level of interruptibility, Scatterbox prioritises and forwards relevant messages to their mobile phone. We draw conclusions from a preliminary evaluation of the system.",
keywords = "situation-awareness, context , pervasive computing , sensor fusion",
author = "Stephen Knox and Ross Shannon and Lorcan Coyle and Adrian Clear and Simon Dobson and Aaron Quigley and Paddy Nixon",
year = "2008",
month = sep,
doi = "10.3166/ria.22.549-568",
language = "English",
volume = "22",
pages = "549--568",
journal = "Revue d'Intelligence Artificielle",
publisher = "Lavoisier",
number = "5",

}

RIS

TY - JOUR

T1 - Scatterbox

T2 - context-aware message management

AU - Knox, Stephen

AU - Shannon, Ross

AU - Coyle, Lorcan

AU - Clear, Adrian

AU - Dobson, Simon

AU - Quigley, Aaron

AU - Nixon, Paddy

PY - 2008/9

Y1 - 2008/9

N2 - 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.

AB - 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.

KW - situation-awareness

KW - context

KW - pervasive computing

KW - sensor fusion

U2 - 10.3166/ria.22.549-568

DO - 10.3166/ria.22.549-568

M3 - Journal article

VL - 22

SP - 549

EP - 568

JO - Revue d'Intelligence Artificielle

JF - Revue d'Intelligence Artificielle

IS - 5

ER -