Mechanisms of implicit learning: connectionist models of sequence processing
Mechanisms of implicit learning: connectionist models of sequence processing
Adaptive User Interfaces: Principles and Practice
Adaptive User Interfaces: Principles and Practice
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Adapting Applications in Mobile Terminals Using Fuzzy Context Information
Mobile HCI '02 Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Behavior Recognition in Human Object Interactions with a Task Model
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Predictability and accuracy in adaptive user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Display of information for time-critical decision making
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Hi-index | 0.00 |
Responsive Adaptive Display Anticipates Requests (RADAR) is a domain general system that learns to highlight an individual's preferred information displays, given the current context. Previous studies with human subjects in a video game environment demonstrate that RADAR is an effective cognitive aid. RADAR increases situation awareness and reduces cognitive load by anticipating and providing task relevant information. Additionally, because RADAR's fit to a user's behavior encapsulates the user's situation-driven information preferences, RADAR also excels as a descriptive and predictive assessment tool. Here, we focus RADAR as a training aid. We test the hypothesis that novices can benefit from training under a RADAR model derived from an expert's behavioral patterns. The results indicate that novices exposed to an expert's information preferences through RADAR rapidly learn to conform to the expert's preferences.