Abstract
This paper describes a digital theater installation call Buzz. Buzz consists of virtual actors who express the collective voice generated by blogs. These actors find compelling stories from blogs on the popular and contentious topics of the day and perform them. In this paper, we explore what it means for a story to be compelling and describe a set of techniques for retrieving compelling stories on a topic. We also outline an architecture for high level direction of a performance using Adaptive Retrieval Charts (ARCs), allowing a director level of interaction with the performance system. Our overall goal in this work is to build a model of human behavior on a new foundation of query formation, information retrieval and filtering.
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