Nickie Buckner

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Making an interface more efficient, in a task analysis sense, can make it more difficult for an automated reasoning system to infer user goals, by eliminating some user actions, by presenting information without requiring overt user selection, and so forth. We call the extent to which a system can make such inferences <i>interpretability</i>. In this paper(More)
Many techniques have been described for viewing and exploring large information spaces. Often times these large data sets are represented in some hierarchical form. It is presumable that the same techniques that are effective for viewing general hierarchical structures would also be apt at displaying the Hierarchical Plans generated by many Artificial(More)
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