Information-based objective functions for active data selection
Neural Computation
A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Selective Sampling Using the Query by Committee Algorithm
Machine Learning
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Active + Semi-supervised Learning = Robust Multi-View Learning
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Support Vector Machine Active Learning with Application sto Text Classification
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Employing EM and Pool-Based Active Learning for Text Classification
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
A context-aware experience sampling tool
CHI '03 Extended Abstracts on Human Factors in Computing Systems
A family of algorithms for approximate bayesian inference
A family of algorithms for approximate bayesian inference
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
Active EM to reduce noise in activity recognition
Proceedings of the 12th international conference on Intelligent user interfaces
Automatic prediction of frustration
International Journal of Human-Computer Studies
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Reconexp: a way to reduce the data loss of the experiencing sampling method
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
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
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Teaching-Learning by Means of a Fuzzy-Causal User Model
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Interactive optimization for steering machine classification
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding contextual factors in location-aware multimedia messaging
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Modeling users of intelligent systems
CHI '11 Extended Abstracts on Human Factors in Computing Systems
CAESSA: visual authoring of context-aware experience sampling studies
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Using decision-theoretic experience sampling to build personalized mobile phone interruption models
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Proceedings of the 13th international conference on Ubiquitous computing
User Modeling and User-Adapted Interaction
Predicting selective availability for instant messaging
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Twitter, sensors and UI: robust context modeling for interruption management
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Sampling and Reconstructing User Experience
International Journal of Handheld Computing Research
Reducing user intervention in incremental activityrecognition for assistive technologies
Proceedings of the 2013 International Symposium on Wearable Computers
A tutorial on human activity recognition using body-worn inertial sensors
ACM Computing Surveys (CSUR)
Breaking the habit: Measuring and predicting departures from routine in individual human mobility
Pervasive and Mobile Computing
Personal and Ubiquitous Computing
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Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed automated experience sampling to collect data to build predictive user models. To date, most procedures have relied on random sampling or simple heuristics. We perform a comparative analysis of several automated strategies for guiding experience sampling, spanning a spectrum of sophistication, from a random sampling procedure to increasingly sophisticated active learning. The more sophisticated methods take a decision-theoretic approach, centering on the computation of the expected value of information of a probe, weighing the cost of the short-term disruptiveness of probes with their benefits in enhancing the long-term performance of predictive models. We test the different approaches in a field study, focused on the task of learning predictive models of the cost of interruption.