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The perfect search engine is not enough: a study of orienteering behavior in directed search
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
Vienna, Austria
Pages: 415 - 422  
Year of Publication: 2004
ISBN:1-58113-702-8
Authors
Jaime Teevan  Massachusetts Institute of Technology, Cambridge, MA
Christine Alvarado  Massachusetts Institute of Technology, Cambridge, MA
Mark S. Ackerman  University of Michigan, Ann Arbor, MI
David R. Karger  Massachusetts Institute of Technology, Cambridge, MA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGDOC : ACM Special Interest Group on Systems Documentation
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a modified diary study that investigated how people performed personally motivated searches in their email, in their files, and on the Web. Although earlier studies of directed search focused on keyword search, most of the search behavior we observed did not involve keyword search. Instead of jumping directly to their information target using keywords, our participants navigated to their target with small, local steps using their contextual knowledge as a guide, even when they knew exactly what they were looking for in advance. This stepping behavior was especially common for participants with unstructured information organization. The observed advantages of searching by taking small steps include that it allowed users to specify less of their information need and provided a context in which to understand their results. We discuss the implications of such advantages for the design of personal information management tools.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  67

Collaborative Colleagues:
Jaime Teevan: colleagues
Christine Alvarado: colleagues
Mark S. Ackerman: colleagues
David R. Karger: colleagues