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 language | English |
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Title of host publication | 2017 21st International Conference Information Visualisation (IV) |
Subtitle of host publication | London, UK, 11-14 July 2017 |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 35-44 |
Number of pages | 10 |
ISBN (Electronic) | 978-1-5386-0831-9 |
ISBN (Print) | 978-1-5386-0832-6 |
DOIs | |
Publication status | Published - 14 Nov 2017 |
Externally published | Yes |
Event | 21st International Conference Information Visualisation, IV 2017 - London, United Kingdom Duration: 11 Jun 2017 → 14 Jun 2017 Conference number: 21 http://iv2017.org/ |
Publication series
Name | International Conference Information Visualisation (IV) |
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Publisher | IEEE |
Volume | 2017 |
ISSN (Print) | 2375-0138 |
Conference
Conference | 21st International Conference Information Visualisation, IV 2017 |
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Abbreviated title | IV 2017 |
Country/Territory | United Kingdom |
City | London |
Period | 11/06/17 → 14/06/17 |
Internet address |
Keywords
- Information re-finding
- Information retrieval
- Query history visualization
- Search history
- n/a OA procedure