On the use of spreading activation methods in automatic information
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Hunter gatherer: interaction support for the creation and management of within-web-page collections
Proceedings of the 11th international conference on World Wide Web
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Concept-context-design: a creative model for the development of interactivity
C&C '02 Proceedings of the 4th conference on Creativity & cognition
Learning to surf: multiagent systems for adaptive web page recommendation
Learning to surf: multiagent systems for adaptive web page recommendation
Rethinking the book
Collagemachine: a model of "interface ecology"
Collagemachine: a model of "interface ecology"
Human + agent: creating recombinant information
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Human + agent: creating recombinant information
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Elimination of junk document surrogate candidates through pattern recognition
Proceedings of the 2007 ACM symposium on Document engineering
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combinFormation is a tool that enables browsing and collecting information elements in a generative space. By generative, we mean that the tool is an agent that automatically retrieves information elements and visually composes them. A combinFormation session presents a dynamic, evolving recombination of information elements from different sources. The elements are manipulable in the information space. Recombination is the process of taking previously unconnected elements, and combining them to create new configurations.One purpose of this space is to support the formation of ideas, through more and less focused processes of foraging. While ideas are forming, the criteria that underlie information foraging activities may not be well defined. Collecting the specific subset of related information elements is challenging. Cognitive scientists have established that combinations of images and textual elements are examples of preinventive structures that can lead to the emergence of new ideas. These preinventive structures often combine existing representations.Our program generates recombinant visualizations that develop interrelationships between the information elements. The generative visualization is based on a procedural model of the information, and the user's interests. The user model reflects interactions in which s/he explicitly expresses interest. The agent retrieves information based on the evolving model. The visual composition is also developed to emphasize the user's evolving sense of what is important. This involves solving problems in the dynamic visualization of dynamic, heterogeneous collections. In our novel interaction model, the human being shares control of the evolving information space with the agent. The user can express interest in information elements as they stream in, and design the visual space, using interactive tools. Expressions feed back through the model to drive the program's retrieval and visual composition decisions.