Organizing Suggestions in Autocompletion Interfaces

Jacco Van Ossenbruggen; Vanessa Evers; Lynda Hardman; Alia Amin; Michiel Hildebrand

doi:10.1007/978-3-642-00958-7_46

Organizing Suggestions in Autocompletion Interfaces

Jacco Van Ossenbruggen, Vanessa Evers, Lynda Hardman, Alia Amin, Michiel Hildebrand

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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 (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.

Original language	English
Title of host publication	Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings
Publisher	Springer Verlag,
Pages	538-545
Number of pages	8
ISBN (Print)	3642009573, 9783642009570
DOIs	https://doi.org/10.1007/978-3-642-00958-7_46
Publication status	Published - 2009
Event	31th European Conference on Information Retrieval, ECIR 2009 - Toulouse, France Duration: 6 Apr 2009 → 9 Apr 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5478 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	31th European Conference on Information Retrieval, ECIR 2009
Country/Territory	France
City	Toulouse
Period	6/04/09 → 9/04/09

Bibliographical note

Funding Information:
This research was supported by the MultimediaN project through the BSIK program and by the European Commission contract FP6-027026, K-Space.

Funding

This research was supported by the MultimediaN project through the BSIK program and by the European Commission contract FP6-027026, K-Space.

Access to Document

10.1007/978-3-642-00958-7_46

Persistent URL (handle)

Persistent link

Cite this

Ossenbruggen, J. V., Evers, V., Hardman, L., Amin, A., & Hildebrand, M. (2009). Organizing Suggestions in Autocompletion Interfaces. In Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings (pp. 538-545). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5478 LNCS). Springer Verlag,. https://doi.org/10.1007/978-3-642-00958-7_46

Ossenbruggen, Jacco Van ; Evers, Vanessa ; Hardman, Lynda et al. / Organizing Suggestions in Autocompletion Interfaces. Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings. Springer Verlag, 2009. pp. 538-545 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{f57b8ef9d37f4b55b495716d41aa6abd,

title = "Organizing Suggestions in Autocompletion Interfaces",

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 (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.",

author = "Ossenbruggen, {Jacco Van} and Vanessa Evers and Lynda Hardman and Alia Amin and Michiel Hildebrand",

note = "Funding Information: This research was supported by the MultimediaN project through the BSIK program and by the European Commission contract FP6-027026, K-Space.; 31th European Conference on Information Retrieval, ECIR 2009 ; Conference date: 06-04-2009 Through 09-04-2009",

year = "2009",

doi = "10.1007/978-3-642-00958-7_46",

language = "English",

isbn = "3642009573",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag,",

pages = "538--545",

booktitle = "Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings",

}

Ossenbruggen, JV, Evers, V, Hardman, L, Amin, A & Hildebrand, M 2009, Organizing Suggestions in Autocompletion Interfaces. in Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5478 LNCS, Springer Verlag, pp. 538-545, 31th European Conference on Information Retrieval, ECIR 2009, Toulouse, France, 6/04/09. https://doi.org/10.1007/978-3-642-00958-7_46

Organizing Suggestions in Autocompletion Interfaces. / Ossenbruggen, Jacco Van; Evers, Vanessa; Hardman, Lynda et al.
Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings. Springer Verlag, 2009. p. 538-545 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5478 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Organizing Suggestions in Autocompletion Interfaces

AU - Ossenbruggen, Jacco Van

AU - Evers, Vanessa

AU - Hardman, Lynda

AU - Amin, Alia

AU - Hildebrand, Michiel

N1 - Funding Information: This research was supported by the MultimediaN project through the BSIK program and by the European Commission contract FP6-027026, K-Space.

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=67650695061&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67650695061&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-00958-7_46

DO - 10.1007/978-3-642-00958-7_46

M3 - Conference contribution

AN - SCOPUS:67650695061

SN - 3642009573

SN - 9783642009570

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 538

EP - 545

BT - Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings

PB - Springer Verlag,

T2 - 31th European Conference on Information Retrieval, ECIR 2009

Y2 - 6 April 2009 through 9 April 2009

ER -

Ossenbruggen JV, Evers V, Hardman L, Amin A, Hildebrand M. Organizing Suggestions in Autocompletion Interfaces. In Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings. Springer Verlag,. 2009. p. 538-545. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-00958-7_46

Organizing Suggestions in Autocompletion Interfaces

Abstract

Publication series

Conference

Bibliographical note

Funding

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Cite this