Browsing hierarchical data with multi-level dynamic queries and pruning

Users often must browse hierarchies with thousands of nodes in search of those that best match their information needs. ThePDQ Tree-browser(Pruning with Dynamic Queries) visualization tool was specified, designed and developed for this purpose. This tool presents trees in two tightly-coupled views,...

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Published inInternational journal of human-computer studies Vol. 46; no. 1; pp. 103 - 124
Main Authors Kumar, Harsha P., Plaisant, Catherine, Shneiderman, Ben
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.01.1997
Subjects
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ISSN1071-5819
1095-9300
DOI10.1006/ijhc.1996.0085

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Abstract Users often must browse hierarchies with thousands of nodes in search of those that best match their information needs. ThePDQ Tree-browser(Pruning with Dynamic Queries) visualization tool was specified, designed and developed for this purpose. This tool presents trees in two tightly-coupled views, one a detailed view and the other an overview. Users can use dynamic queries, a method for rapidly filtering data, to filter nodes at each level of the tree. The dynamic query panels are user-customizable. Sub-trees of unselected nodes are pruned out, leading to compact views of relevant nodes. Usability testing of the PDQ Tree-browser, done with eight subjects, helped assess strengths and identify possible improvements. The PDQ Tree-browser was used in Network Management (600 nodes) and UniversityFinder (1100 nodes) applications. A controlled experiment, with 24 subjects, showed that pruning significantly improved performance speed and subjective user satisfaction. Future research directions are suggested.
AbstractList Users often must browse hierarchies with thousands of nodes in search of those that best match their information needs. ThePDQ Tree-browser(Pruning with Dynamic Queries) visualization tool was specified, designed and developed for this purpose. This tool presents trees in two tightly-coupled views, one a detailed view and the other an overview. Users can use dynamic queries, a method for rapidly filtering data, to filter nodes at each level of the tree. The dynamic query panels are user-customizable. Sub-trees of unselected nodes are pruned out, leading to compact views of relevant nodes. Usability testing of the PDQ Tree-browser, done with eight subjects, helped assess strengths and identify possible improvements. The PDQ Tree-browser was used in Network Management (600 nodes) and UniversityFinder (1100 nodes) applications. A controlled experiment, with 24 subjects, showed that pruning significantly improved performance speed and subjective user satisfaction. Future research directions are suggested.
The PDQ Tree-browser (Pruning with Dynamic Queries) visualization tool was specified, designed and developed for browsing hierarchies with a large number of nodes. It presents trees in 2 tightly coupled views, one a detailed view and the other an overview. Users can use dynamic queries, a method for rapidly filtering data, to filter nodes at each level of the tree. The dynamic query panels are user-customisable. Sub-trees of unselected nodes are pruned out, leading to compact views of relevant nodes. Usability testing of the PDQ Tree-browser, done with 8 subjects, helped assess strengths and identify possible improvements. It was used in Network Management (600 nodes) and UniversityFinder (1100 nodes) applications. A controlled experiment, with 24 subjects, showed that pruning significantly improved performance speed and subject user satisfaction. Original abstract-amended.
Users often must browse hierarchies with thousands of nodes in search of those that best match their information needs. The PDQ Tree-browser (Pruning with Dynamic Queries) visualization tool was specified, designed and developed for this purpose. This tool presents trees in two tightly-coupled views, one a detailed view and the other an overview. Users can use dynamic queries, a method for rapidly filtering data, to filter nodes at each level of the tree. The dynamic query panels are user-customizable. Sub-trees of unselected nodes are pruned out, leading to compact views of relevant nodes. Usability testing of the PDQ Tree-browser, done with eight subjects, helped assess strengths and identify possible improvements. The PDQ Tree-browser was used in Network Management (600 nodes) and University Finder (1100 nodes) applications. A controlled experiment, with 24 subjects, showed that pruning significantly improved performance speed and subjective user satisfaction. Future research directions are suggested.
Author Kumar, Harsha P.
Plaisant, Catherine
Shneiderman, Ben
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Snippet Users often must browse hierarchies with thousands of nodes in search of those that best match their information needs. ThePDQ Tree-browser(Pruning with...
Users often must browse hierarchies with thousands of nodes in search of those that best match their information needs. The PDQ Tree-browser (Pruning with...
The PDQ Tree-browser (Pruning with Dynamic Queries) visualization tool was specified, designed and developed for browsing hierarchies with a large number of...
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SubjectTerms Hierarchies
Online information retrieval
Pruning
Searching
Title Browsing hierarchical data with multi-level dynamic queries and pruning
URI https://dx.doi.org/10.1006/ijhc.1996.0085
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