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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Organizing Suggestions in Autocompletion Interfaces
verfasst von : Alia Amin, Michiel Hildebrand, Jacco van Ossenbruggen, Vanessa Evers, Lynda Hardman
Erschienen in: Advances in Information Retrieval
Verlag: Springer Berlin Heidelberg
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We describe two user studies that investigate organization strategies of autocompletion in a known-item search task: searching for terms taken from a thesaurus. In Study 1, we explored ways of grouping term suggestions from two different thesauri (TGN and WordNet) and found that different thesauri may require different organization strategies. Users found
Group
organization more appropriate for location names from TGN, while
Alphabetical
works better for object names from WordNet. In Study 2, we compared three different organization strategies (
Alphabetical
,
Group
and
Composite
) for location name search tasks. The results indicate that for TGN autocompletion interfaces help improve the quality of keywords,
Group
and
Composite
organization help users search faster, and is perceived easier to understand and to use than
Alphabetical
.