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 on previous findings on 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 on 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 (CPI), to a large statistical database called LABSTAT that can be queried to construct a table or time series on 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 on 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.