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. © Springer-Verlag Berlin Heidelberg 2009.
CITATION STYLE
Amin, A., Hildebrand, M., Ossenbruggen, J. V., Evers, V., & Hardman, L. (2009). Organizing Suggestions in Autocompletion Interfaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5478 LNCS, pp. 538–545). Springer Verlag. https://doi.org/10.1007/978-3-642-00958-7_46
Mendeley helps you to discover research relevant for your work.