QueryCrumbs: A compact visualization for navigating the search query history

Christin Seifert, Jörg Schlötterer, Michael Granitzer

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
159 Downloads (Pure)

Abstract

Models of human information seeking reveal that search, in particular ad-hoc retrieval, is non-linear and iterative. Despite these findings, todays search user interfaces do not support non-linear navigation, like for example backtracking in time. In this work, we propose QueryCrumbs, a compact and easy-to-understand visualization for navigating the search query history supporting iterative query refinement. We apply a multi-layered interface design to support novices and firsttime users as well as intermediate users. The formative evaluation with first-time and intermediate users showed that the interactions can be easily performed, and the visual encodings were well understood without instructions. Results indicate that QueryCrumbs can support users when searching for information in an iterative manner.
Original languageEnglish
Title of host publication2017 21st International Conference Information Visualisation (IV)
Subtitle of host publicationLondon, UK, 11-14 July 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages35-44
Number of pages10
ISBN (Electronic)978-1-5386-0831-9
ISBN (Print)978-1-5386-0832-6
DOIs
Publication statusPublished - 14 Nov 2017
Externally publishedYes
Event21st International Conference Information Visualisation, IV 2017 - London, United Kingdom
Duration: 11 Jun 201714 Jun 2017
Conference number: 21
http://iv2017.org/

Publication series

NameInternational Conference Information Visualisation (IV)
PublisherIEEE
Volume2017
ISSN (Print)2375-0138

Conference

Conference21st International Conference Information Visualisation, IV 2017
Abbreviated titleIV 2017
Country/TerritoryUnited Kingdom
CityLondon
Period11/06/1714/06/17
Internet address

Keywords

  • Information re-finding
  • Information retrieval
  • Query history visualization
  • Search history
  • n/a OA procedure

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