Search (2 results, page 1 of 1)

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Abstract

n this article, we report on the first large-scale study of end-user understanding of subject headings. Our objectives were to determine the extent to which children and adults understood subdivided subject headings and to suggest improvements for improving understanding of subject headings. The 1991 Library of Congress Subject Subdivisions Conference suggested standardizing the order of subject subdivisions for the purpose of simplifying subject cataloging, which served as the impetus for the study. We demonstrated that adults understood subject headings better than children; however, both adults and children assigned correct meanings to less than half of the subject headings they examined. Neither subject heading context nor subdivision order had an effect on understanding. Based on our findings, we challenge the library community to make major changes to the Library of Congress Subject Headings system that have the potential to increase end-user understanding of subject headings.

Date

10. 9.2000 17:38:22

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Abstract

User studies demonstrate that nondomain experts do not use the same information-seeking strategies as domain experts. Because of the transformation of integrated library systems into Information Gateways in the late 1990s, both nondomain experts and domain experts have had available to them the wide range of information-seeking strategies in a single system. This article describes the results of a study to answer three research questions: (1) do nondomain experts enlist the strategies of domain experts? (2) if they do, how did they learn about these strategies? and (3) are they successful using them? Interviews, audio recordings, screen captures, and observations were used to gather data from 14 undergraduate students who searched an academic library's Information Gateway. The few times that the undergraduates in this study enlisted search strategies that were characteristic of domain experts, it usually took perseverance, trial-and-error, serendipity, or a combination of all three for them to find useful information. Although this study's results provide no compelling reasons for systems to support features that make domain-expert strategies possible, there is need for system features that scaffold nondomain experts from their usual strategies to the strategies characteristic of domain experts.