Relevance: communication and cognition
Relevance: communication and cognition
Intelligent information-sharing systems
Communications of the ACM
Prediction and conversational momentum in an augmentative communication system
Communications of the ACM
Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
Modelling both the Context and the User
Personal and Ubiquitous Computing
Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
An architecture to improve the generalization of interacting device developments for accessibility
WebMedia '06 Proceedings of the 12th Brazilian Symposium on Multimedia and the web
Context Management for Adaptive Information Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
An architecture for adaptive and adaptable mobile applications for physically handicapped people
UAHCI'07 Proceedings of the 4th international conference on Universal access in human computer interaction: coping with diversity
Assessing Fit of Nontraditional Assistive Technologies
ACM Transactions on Accessible Computing (TACCESS)
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Even with assistive communication technology, interactive conversation is extremely difficult for users with severely limited mobility and loss of speech. Input to such devices is painfully slow and subject to high error rates with the resulting output not reliably reflecting the true intentions of the user. Conversational prediction has been incorporated into assistive systems to help speed up communication but could be further improved by considering the contextual interaction between the user and conversant. Contextual information applied to user profiles can greatly enhance conversational prediction and increase a severely disabled user's control over his or her complex world. We present a framework that integrates a rich profile of the user, a model of the user's environment, and actors on that environment. To test the validity of the framework, we develop a set of profiles and apply them in two different scenarios. Initial results show that the context-aware user profiles can increase both the accuracy and speed of the communication.