As communications systems increasingly gather and propagate information
about people�s reachability or �presence�, users need better tools
to minimize undesired interruptions while allowing desired ones.
We review the salient elements of presence and availability that
people use when initiating face-to-face communication. We discuss
problems with current strategies for managing one�s availability
in telecommunication media. We describe a prototype system called
Lilsys which passively collects availability cues gathered from users�
actions and environment using ambient sensors and provides machine
inferencing of unavailability. We discuss observations and design
implications from deploying Lilsys.
%0 Conference Paper
%1 BMT04
%A Begole, J.
%A Matsakis, N. E.
%A Tang, J. C.
%B Proceedings CSCW 2004
%D 2004
%K diss interruptions messaging tool
%T Lilsys: Sensing Unavailability
%X As communications systems increasingly gather and propagate information
about people�s reachability or �presence�, users need better tools
to minimize undesired interruptions while allowing desired ones.
We review the salient elements of presence and availability that
people use when initiating face-to-face communication. We discuss
problems with current strategies for managing one�s availability
in telecommunication media. We describe a prototype system called
Lilsys which passively collects availability cues gathered from users�
actions and environment using ambient sensors and provides machine
inferencing of unavailability. We discuss observations and design
implications from deploying Lilsys.
@inproceedings{BMT04,
abstract = {As communications systems increasingly gather and propagate information
about people�s reachability or �presence�, users need better tools
to minimize undesired interruptions while allowing desired ones.
We review the salient elements of presence and availability that
people use when initiating face-to-face communication. We discuss
problems with current strategies for managing one�s availability
in telecommunication media. We describe a prototype system called
Lilsys which passively collects availability cues gathered from users�
actions and environment using ambient sensors and provides machine
inferencing of unavailability. We discuss observations and design
implications from deploying Lilsys.},
added-at = {2007-11-01T10:10:38.000+0100},
author = {Begole, J. and Matsakis, N. E. and Tang, J. C.},
biburl = {https://www.bibsonomy.org/bibtex/25cab2aebc393fe960f071ebd9511ef3a/carsten},
booktitle = {Proceedings CSCW 2004},
file = {BMT04.pdf:BMT04.pdf:PDF},
interhash = {70c7caeaa110b0cdcb63975f7b422e8e},
intrahash = {5cab2aebc393fe960f071ebd9511ef3a},
keywords = {diss interruptions messaging tool},
owner = {ritterskamp},
timestamp = {2007-11-01T10:18:25.000+0100},
title = {Lilsys: Sensing Unavailability},
year = 2004
}