Interactive sketching for the early stages of user interface design
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A generic platform for addressing the multimodal challenge
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reusable hierarchical command objects
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Extending an existing user interface toolkit to support gesture recognition
CHI '93 INTERACT '93 and CHI '93 Conference Companion on Human Factors in Computing Systems
Systematic output modification in a 2D user interface toolkit
Proceedings of the 10th annual ACM symposium on User interface software and technology
Supporting dynamic downloadable appearances in an extensible user interface toolkit
Proceedings of the 10th annual ACM symposium on User interface software and technology
Implications for a gesture design tool
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The context toolkit: aiding the development of context-enabled applications
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Model-based and empirical evaluation of multimodal interactive error correction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Providing integrated toolkit-level support for ambiguity in recognition-based interfaces
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Confirmation in multimodal systems
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Providing integrated toolkit-level support for ambiguity in recognition-based interfaces
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Computational Support for Sketching in Design: A Review
Foundations and Trends in Human-Computer Interaction
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Recognition technologies are being used extensively in both the commercial and research worlds. But recognizers are still error-prone, and this results in performance problems and brittle dialogues. These problems are a barrier to acceptance and usefulness of recognition systems. Better interfaces to recognition systems, which can help to reduce the burden of recognition errors, are difficult to build because of lack of knowledge about the ambiguity inherent in recognition. We have extended a user interface toolkit in order to model and to provide structured support for ambiguity at the input event level [7]. This makes it possible to build re-usable interface components for resolving ambiguity and dealing with recognition errors. These interfaces can help to reduce the negative effects of recognition errors. By providing these components at a toolkit level, we make it easier for application writers to provide good support for error handling. And we can explore new types of interfaces for resolving a more varied range of ambiguity.