People must frequently sort through and identify relevant materials from a large
set of documents. Document triage is a specific form of information collecting where
people quickly evaluate a large set of documents from the Internet by reading (or
skimming) documents and organizing them into a personal information collection.
During triage people can re-read documents, progressively refine their organization, and
share results with others. People usually perform triage using multiple applications in
concert: a search engine interface presents lists of potentially relevant documents; a
document reader displays their content; and a text editor or a more specialized
application records notes and assessments. However, people often become disoriented
while switching between these subtasks in document triage. This can hinder the
interaction between the subtasks and can distract people from focusing on documents of
interest. To support document triage, we have developed an environment that infers
users’ interests based on their interactions with multiple applications and on an analysis
of the characteristics and content of the documents they are interacting with. The
inferred user interest is used to relieve disorientation by generating visualizations in
multiple applications that help people find documents of interest as well as interesting
sections within documents.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2330 |
| Date | 15 May 2009 |
| Creators | Bae, Soon Il |
| Contributors | Shipman, Frank M. III |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | electronic, application/pdf, born digital |
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