
A comparison of a hierarchical tree to an associative map interface for the selection of classification terms
Author(s) -
Buzydlowski Jan W.,
Lin Xia,
Zhang Mi,
Cassel Lillian N.
Publication year - 2013
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14505001143
Subject(s) - associative property , interface (matter) , computer science , selection (genetic algorithm) , vocabulary , tree (set theory) , hierarchical database model , artificial intelligence , natural language processing , data mining , pattern recognition (psychology) , information retrieval , mathematics , linguistics , parallel computing , mathematical analysis , philosophy , bubble , maximum bubble pressure method , pure mathematics
This paper reports the results of a user study comparing the use of a traditional hierarchical tree interface with an associative graphical interface to select controlled vocabulary terms for document classification. The results suggest that users prefer to have both the hierarchical and associative map rather than the hierarchical tree alone and tend to ascribe more categories when using the experimental interface.