Collaborative interface agents
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Providing presence cues to telephone users
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
When conventions collide: the tensions of instant messaging attributed
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A context-aware experience sampling tool
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Learning and reasoning about interruption
Proceedings of the 5th international conference on Multimodal interfaces
Examining the robustness of sensor-based statistical models of human interruptibility
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
BusyBody: creating and fielding personalized models of the cost of interruption
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Lilsys: Sensing Unavailability
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Who gets to know what when: configuring privacy permissions in an awareness application
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using context-aware computing to reduce the perceived burden of interruptions from mobile devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A study of preferences for sharing and privacy
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Predicting human interruptibility with sensors
ACM Transactions on Computer-Human Interaction (TOCHI)
Using relationship to control disclosure in Awareness servers
GI '05 Proceedings of Graphics Interface 2005
Uncovering privacy attitudes and practices in instant messaging
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Toolkit support for developing and deploying sensor-based statistical models of human situations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Experience sampling for building predictive user models: a comparative study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Xensible interruptions from your mobile phone
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Lightweight selective availability in instant messaging
CHI '10 Extended Abstracts on Human Factors in Computing Systems
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Instant messaging (IM) systems allow users to spontaneously communicate over distance, yet they bear the risk for disruption of the recipient. In order to reduce disruption, novel approaches for detecting and presenting mutual availability are needed. In this paper we show how fine-grained IM availability predictions can be made for nomadic users solely based on sensors installed on a laptop computer. Our approach provides comparable accuracies to previous work, while it eliminates the need for augmenting the offices or the users with further sensors. We performed a user study to collect sensor data. Alongside with labels collected by means of Experience Sampling, the data allow for creating probabilistic models for predicting selective availability. This way, we demonstrate how the required effort involved in proactively managing one's availability selectively towards a variety of recipients can be reduced by automatic adaptation, and give insights in the lessons learned.