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
Providing presence cues to telephone users
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Work rhythms: analyzing visualizations of awareness histories of distributed groups
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Predicting human interruptibility with sensors: a Wizard of Oz feasibility study
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
Managerial Allocation of Time and Effort: The Effects of Interruptions
Management Science
Examining the robustness of sensor-based statistical models of human interruptibility
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Impact of interruption style on end-user debugging
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting human interruptibility with sensors
ACM Transactions on Computer-Human Interaction (TOCHI)
Human-Computer Interaction
A framework and methodology for studying the causes of software errors in programming systems
Journal of Visual Languages and Computing
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
GI '05 Proceedings of Graphics Interface 2005
Responsiveness in instant messaging: predictive models supporting inter-personal communication
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Leveraging characteristics of task structure to predict the cost of interruption
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using a low-cost electroencephalograph for task classification in HCI research
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Interruptions on software teams: a comparison of paired and solo programmers
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Biases in human estimation of interruptibility: effects and implications for practice
Proceedings of the SIGCHI Conference on Human Factors in Computing 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
Disruption and recovery of computing tasks: field study, analysis, and directions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IEEE Transactions on Software Engineering
ACM Transactions on Computer-Human Interaction (TOCHI)
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
An Attentive Groupware Device to Mitigate Information Overload
Interactive Systems. Design, Specification, and Verification
EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Attention-Based Management of Information Flows in Synchronous Electronic Brainstorming
Groupware: Design, Implementation, and Use
Connecting Programming Environments to Support Ad-Hoc Collaboration
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Evaluating cues for resuming interrupted programming tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interactive optimization for steering machine classification
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM Transactions on Computer-Human Interaction (TOCHI)
Proceedings of the 16th ACM international conference on Supporting group work
Resumption strategies for interrupted programming tasks
Software Quality Control
Cognitive Resource Aware Service Provisioning
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Capturing and analyzing low-level events from the code editor
Proceedings of the 3rd ACM SIGPLAN workshop on Evaluation and usability of programming languages and tools
Towards personalized mobile interruptibility estimation
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
AffectAura: an intelligent system for emotional memory
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The computer and communication systems that office workers currently use tend to interrupt at inappropriate times or unduly demand attention because they have no way to determine when an interruption is appropriate. Sensor?based statistical models of human interruptibility offer a potential solution to this problem. Prior work to examine such models has primarily reported results related to social engagement, but it seems that task engagement is also important. Using an approach developed in our prior work on sensor?based statistical models of human interruptibility, we examine task engagement by studying programmers working on a realistic programming task. After examining many potential sensors, we implement a system to log low?level input events in a development environment. We then automatically extract features from these low?level event logs and build a statistical model of interruptibility. By correctly identifying situations in which programmers are non?interruptible and minimizing cases where the model incorrectly estimates that a programmer is non?interruptible, we can support a reduction in costly interruptions while still allowing systems to convey notifications in a timely manner.