Haas, S.W.: Improving the search environment : informed decision making in the search for statistical information (2003)
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- Abstract
- A search for information can be viewed as a series of decisions made by the searcher. Two dimensions of the search environment affect a user's decisions: the user's knowledge, and the configuration of the information retrieval system. Drawing an previous findings an users' lack of search or domain knowledge, this article investigates what the user needs to know to make informed search decisions at the United States Bureau of Labor Statistics (BLS) Web site, which provides statistical information an labor and related topics. Its extensive Web site is a rich collection of statistical information, ranging from individual statistics such as the current Consumer Price Index (CM), to a [arge statistical database called LABSTAT that can be queried to construct a tabie or time series an the fly. Two models of the search environment and the query process in LABSTAT are presented. They provide complementary views of the decision points at which help may be needed, and also suggest useful help content. Extensive examples based an the industry concept illustrate how the information could assist users' search decisions. The article concludes with a discussion of the role of help facilities in Web searching, and the interesting question of how to initiate the provision of help.
