%0 Conference Paper %1 Amin2009Organizing %A Amin, Alia %A Hildebrand, Michiel %A van Ossenbruggen, Jacco %A Evers, Vanessa %A Hardman, Lynda %B Advances in Information Retrieval: In Proceedings of the 31st European Conference on Information Retrieval, Toulouse, France %D 2009 %K thesis thesis-annotation thesis-infrastructure %P 521--529 %T Organizing Suggestions in Autocompletion Interfaces %U http://dx.doi.org/10.1007/978-3-642-00958-7_46 %X 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 (TGNand 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 ofkeywords, Group and Composite organization help users search faster, and is perceived easier to understand and to use than Alphabetical.

@inproceedings{Amin2009Organizing, abstract = {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 (TGNand 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 ofkeywords, Group and Composite organization help users search faster, and is perceived easier to understand and to use than Alphabetical.}, added-at = {2009-10-23T11:42:54.000+0200}, author = {Amin, Alia and Hildebrand, Michiel and van Ossenbruggen, Jacco and Evers, Vanessa and Hardman, Lynda}, biburl = {https://www.bibsonomy.org/bibtex/2d4d8ad00836d25f5d5452864ab501895/casi}, booktitle = {Advances in Information Retrieval: In Proceedings of the 31st European Conference on Information Retrieval, Toulouse, France}, description = {SpringerLink - Buchkapitel}, interhash = {d4099aa267c2c3cd63a2736fa27bb5eb}, intrahash = {d4d8ad00836d25f5d5452864ab501895}, keywords = {thesis thesis-annotation thesis-infrastructure}, pages = {521--529}, timestamp = {2009-10-23T12:15:31.000+0200}, title = {Organizing Suggestions in Autocompletion Interfaces}, url = {http://dx.doi.org/10.1007/978-3-642-00958-7_46}, year = 2009 }