An Semantic Feedback in the Higgens UIMS
IEEE Transactions on Software Engineering
Designing the user interface (2nd ed.): strategies for effective human-computer interaction
Designing the user interface (2nd ed.): strategies for effective human-computer interaction
Information visualization using 3D interactive animation
Communications of the ACM - Special issue on graphical user interfaces
The movable filter as a user interface tool
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information seeking in electronic environments
Information seeking in electronic environments
Computer graphics (2nd ed. in C): principles and practice
Computer graphics (2nd ed. in C): principles and practice
SDM: selective dynamic manipulation of visualizations
Proceedings of the 8th annual ACM symposium on User interface and software technology
A software model and specification language for non-WIMP user interfaces
ACM Transactions on Computer-Human Interaction (TOCHI)
Mapping communicative goals into conceptual tasks to generate graphics in discourse
Proceedings of the 5th international conference on Intelligent user interfaces
Example based generation of custom data analysis appliances
Proceedings of the 6th international conference on Intelligent user interfaces
Automated authoring of coherent multimedia discourse in conversation systems
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Defining Interfaces at a High Level of Abstraction
IEEE Software
Visual Planning: A Practical Approach to Automated Presentation Design
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
On the semantics of interactive visualizations
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
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To support a full-fledged, multimedia human-computer conversation, we are building an intelligent framework, called Responsive Information Architect (RIA), which can automatically synthesize multimedia responses during the conversation. As part of its visual response generation, RIA dynamically creates context-sensitive interaction controls that are visual interfaces through which users can further interact with RIA. To enable the systematic design of inter驴action controls, we study and abstract control properties. In particular, in this paper we present a semantic model that captures the intentional, presentational, and behavioral char驴acteristics of interaction controls. Using this model, we show how to systematically sketch the semantics of an interaction control.