Watch what I do: programming by demonstration
Watch what I do: programming by demonstration
Representation of electronic mail filtering profiles: a user study
Proceedings of the 5th international conference on Intelligent user interfaces
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Interactive machine learning: letting users build classifiers
International Journal of Human-Computer Studies
Proceedings of the 8th international conference on Intelligent user interfaces
Extracting comprehensible models from trained neural networks
Extracting comprehensible models from trained neural networks
CueTIP: a mixed-initiative interface for correcting handwriting errors
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Toward harnessing user feedback for machine learning
Proceedings of the 12th international conference on Intelligent user interfaces
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
An interactive algorithm for asking and incorporating feature feedback into support vector machines
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Effective explanations of recommendations: user-centered design
Proceedings of the 2007 ACM conference on Recommender systems
CueFlik: interactive concept learning in image search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Integrating rich user feedback into intelligent user interfaces
Proceedings of the 13th international conference on Intelligent user interfaces
Toward establishing trust in adaptive agents
Proceedings of the 13th international conference on Intelligent user interfaces
Learning from labeled features using generalized expectation criteria
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Fixing the program my computer learned: barriers for end users, challenges for the machine
Proceedings of the 14th international conference on Intelligent user interfaces
EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interacting meaningfully with machine learning systems: Three experiments
International Journal of Human-Computer Studies
Text classification by labeling words
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Active learning with statistical models
Journal of Artificial Intelligence Research
Corrective feedback and persistent learning for information extraction
Artificial Intelligence
Interactive optimization for steering machine classification
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Examining multiple potential models in end-user interactive concept learning
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Toolkit to support intelligibility in context-aware applications
Proceedings of the 12th ACM international conference on Ubiquitous computing
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs
VLHCC '10 Proceedings of the 2010 IEEE Symposium on Visual Languages and Human-Centric Computing
End-user feature labeling: a locally-weighted regression approach
Proceedings of the 16th international conference on Intelligent user interfaces
Human model evaluation in interactive supervised learning
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Systems that learn from or personalize themselves to users are quickly becoming mainstream yet interaction with these systems is limited and often uninformative for the end user. This workshop focuses on approaches and challenges to explore making these systems transparent, controllable and ultimately trustworthy to end users. The aims of the workshop are to help establish connections among researchers and industrial practitioners using real-world problems as catalysts to facilitate the exchange of approaches, solutions, and ideas about how to better support end users.