Adaptive user interfaces
C4.5: programs for machine learning
C4.5: programs for machine learning
Performance effect of matching computer interface characteristics and user skill level
International Journal of Man-Machine Studies
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INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
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IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
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AVI '94 Proceedings of the workshop on Advanced visual interfaces
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CHI '95 Conference Companion on Human Factors in Computing Systems
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International Journal of Human-Computer Studies - Special issue: 1969-1999, the 30th anniversary
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Communications of the ACM
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ACM Computing Surveys (CSUR)
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The Architecture of Cognition
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User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
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User Modeling and User-Adapted Interaction
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User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
Sequence Learning: From Recognition and Prediction to Sequential Decision Making
IEEE Intelligent Systems
The Case against Accuracy Estimation for Comparing Induction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Integrating the Mind
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
User expertise modelling and adaptivity in a speech-based e-mail system
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Dynamic detection of novice vs. skilled use without a task model
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User Modeling and User-Adapted Interaction
Inferring user expertise for adaptive interfaces
Human-Computer Interaction
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Human-Computer Interaction
Cross-user analysis: Benefits of skill level comparison in usability testing
Interacting with Computers
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
Instrumenting the crowd: using implicit behavioral measures to predict task performance
Proceedings of the 24th annual ACM symposium on User interface software and technology
User Modeling and User-Adapted Interaction
Proceedings of the Third International Conference on Learning Analytics and Knowledge
Using behavioral data to identify interviewer fabrication in surveys
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Cognitive Performance Support
International Journal of Technology and Human Interaction
DUXU'13 Proceedings of the Second international conference on Design, User Experience, and Usability: design philosophy, methods, and tools - Volume Part I
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Computer users have different levels of system skills. Moreover, each user has different levels of skill across different applications and even in different portions of the same application. Additionally, users' skill levels change dynamically as users gain more experience in a user interface. In order to adapt user interfaces to the different needs of user groups with different levels of skills, automatic methods of skill detection are required. In this paper, we present our experiments and methods, which are used to build automatic skill classifiers for desktop applications. Machine learning algorithms were used to build statistical predictive models of skill. Attribute values were extracted from high frequency user interface events, such as mouse motions and menu interactions, and were used as inputs to our models. We have built both task-independent and task-dependent classifiers with promising results.