C4.5: programs for machine learning
C4.5: programs for machine learning
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Machine Learning
Distributed mediation of ambiguous context in aware environments
Proceedings of the 15th annual ACM symposium on User interface software and technology
Feature Generation Using General Constructor Functions
Machine Learning
Models of attention in computing and communication: from principles to applications
Communications of the ACM
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The challenges of user-centered design and evaluation for infrastructure
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Context-Aware Notification for Wearable Computing
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Learning and reasoning about interruption
Proceedings of the 5th international conference on Multimodal interfaces
Rhythm modeling, visualizations and applications
Proceedings of the 16th annual ACM symposium on User interface software and technology
Examining the robustness of sensor-based statistical models of human interruptibility
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predictors of availability in home life context-mediated communication
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
BusyBody: creating and fielding personalized models of the cost of interruption
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Presence versus availability: the design and evaluation of a context-aware communication client
International Journal of Human-Computer Studies
Towards an index of opportunity: understanding changes in mental workload during task execution
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Examining task engagement in sensor-based statistical models of human interruptibility
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
Predicting human interruptibility with sensors
ACM Transactions on Computer-Human Interaction (TOCHI)
GI '05 Proceedings of Graphics Interface 2005
How it works: a field study of non-technical users interacting with an intelligent system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human-Computer Interaction
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Coordinate: probabilistic forecasting of presence and availability
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
How it works: a field study of non-technical users interacting with an intelligent system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Effects of intelligent notification management on users and their tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Investigating statistical machine learning as a tool for software development
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Practical Activity Capture Framework for Personal, Lifetime User Modeling
UM '07 Proceedings of the 11th international conference on User Modeling
Exposing parameters of a trained dynamic model for interactive music creation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Don't ask me: designing social Q&A services
Crossroads - The Social Web
Field deployment of IMBuddy: a study of privacy control and feedback mechanisms for contextual IM
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
XCS for personalizing desktop interfaces
IEEE Transactions on Evolutionary Computation
Toolkit to support intelligibility in context-aware applications
Proceedings of the 12th ACM international conference on Ubiquitous computing
ACM Transactions on Computer-Human Interaction (TOCHI)
Study of user interruptibility estimation based on focused application switching
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Steps towards a system for inferring the interruptibility status of knowledge workers
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Predicting selective availability for instant messaging
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
WPT: a toolkit for publishing a web-based lifelog
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
Activity-centric support for ad hoc knowledge work: a case study of co-activity manager
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Estimation of interruptibility during office work based on PC activity and conversation
HCI'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for learning, culture, collaboration and business - Volume Part III
Private aggregation for presence streams
Future Generation Computer Systems
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Sensor based statistical models promise to support a variety of advances in human computer interaction, but building applications that use them is currently difficult and potential advances go unexplored. We present Subtle, a toolkit that removes some of the obstacles to developing and deploying applications using sensor based statistical models of human situations. Subtle provides an appropriate and extensible sensing library, continuous learning of personalized models, fully automated high level feature generation, and support for using learned models in deployed applications. By removing obstacles to developing and deploying sensor based statistical models, Subtle makes it easier to explore the design space surrounding sensor based statistical models of human situations. Subtle thus helps to move the focus of human computer interaction research onto applications and datasets, instead of the difficulties of developing and deploying sensor based statistical models.