Extracting usability information from user interface events
ACM Computing Surveys (CSUR)
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Predictive Statistical Models for User Modeling
User Modeling and User-Adapted Interaction
Machine Learning in User Modeling
Machine Learning and Its Applications, Advanced Lectures
Adaptive interfaces and agents
The human-computer interaction handbook
Relational Markov models and their application to adaptive web navigation
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A Probabilistic Relational Student Model for Virtual Laboratories
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
TIDES - Using Bayesian Networks for Student Modeling
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Current Trends in Adaptive User Interfaces: Challenges and Applications
CERMA '07 Proceedings of the Electronics, Robotics and Automotive Mechanics Conference
Recognition of User Intentions for Interface Agents with Variable Order Markov Models
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth 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
Sematime - timeline visualization of time-dependent relations and semantics
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
A reference model for adaptive visualization systems
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Modeling users for adaptive semantics visualizations
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: users diversity - Volume Part II
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Adaptive User Interfaces are able to facilitate the handling of computer systems through the automatic adaptation to users' needs and preferences. For the realization of these systems, information about the individual user is needed. This user information can be extracted from user events by applying analytical methods without the active information input by the user. In this paper we introduce a reusable interaction analysis system based on probabilistic methods that predicts user interactions, recognizes user activities and detects user preferences on different levels of abstraction. The evaluation reveals that the prediction quality of the developed algorithm outperforms the quality of other established prediction methods.