How to Build Modeling Agents to Support Web Searchers
In this paper, we sketch a model of what people do when they search for information on the web. From a theoretical perspective, our interest lies in the cognitive processes and internal representations that are both used in and affected by the search for information. From a practical perspective, our aim is to provide personal support for information-searching and to effectively transfer knowledge gained by one person to another. Toward these ends, we first collected behavioral data from people searching for information on the web; we next analyzed these data to learn what the searchers were doing and thinking; and we then constructed specific web agents to support searching behaviors we identified.
KeywordsQuery Term Standard Pattern Verbal Recall Standard Routine Federal Election Commission
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