/lp/association-for-computing-machinery/lilsys-sensing-unavailability-tMSiRyvfwC
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- Datasource
- Association for Computing Machinery
- Copyright
- Copyright © 2004 by ACM Inc.
- ISBN
- 1-58113-810-5
- doi
- 10.1145/1031607.1031691
- Publisher site
- See Article on Publisher Site
Abstract
Lilsys: Sensing Unavailability James œBo Begole Sun Microsystems Laboratories 16 Network Circle Menlo Park, CA 94025 Nicholas E. Matsakis MIT CSAIL, 32-G585 32 Vassar Street Cambridge, MA 02139 John C. Tang IBM Almaden Research Center 650 Harry Road San Jose, CA 95120 bo.begole@sun.com ABSTRACT matsakis@mit.edu john.tang@us.ibm.com As communications systems increasingly gather and propagate information about people ™s reachability or œpresence , 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. examines notions of presence and availability and describes problems related to determining availability in telecommunications. We describe the inadequacies of current strategies of proactively managing availability. We discuss a prototype system called Lilsys which uses passive detection of unavailability using ambient sensors, while preserving privacy by abstracting the person ™s context details into an unavailability inference. Categories