Abstract
Interactive IR studies are commonly conducted by assigning participants simulated work tasks situations (SWTS), predetermined textual descriptions of an information need and its context to motivate participants to perform realistic searches of the IR system in question. Despite their popularity, research has shown that formulating realistic and engaging SWTSs remains challenging. In this paper, we propose using the analyses of large samples of complex real-world search requests—with the specific case of book search—to inject realism into SWTSs by taking different relevance aspects and their relative frequencies into account when formulating them. This should make it easier for researchers to design realistic SWTSs in the future.
Original language | English |
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Title of host publication | Proceedings of the 81st Annual Meeting of the Association for Information Science and Technology (ASIST 2018) |
Number of pages | 3 |
Place of Publication | Vancouver, Canada |
Publisher | Association for Information Science and Technology |
Publication date | 10 Nov 2018 |
Pages | 759-761 |
ISBN (Electronic) | 978-0-578-41425-6 |
Publication status | Published - 10 Nov 2018 |
Externally published | Yes |
Event | ASIST 2018: 81st Annual Meeting of the Association for Information Science and Technology - Vancouver, Canada, Vancouver, Canada Duration: 10 Nov 2018 → 14 Nov 2018 Conference number: 81 https://www.asist.org/am18/ |
Conference
Conference | ASIST 2018: 81st Annual Meeting of the Association for Information Science and Technology |
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Number | 81 |
Location | Vancouver, Canada |
Country/Territory | Canada |
City | Vancouver |
Period | 10/11/2018 → 14/11/2018 |
Internet address |
Series | American Society for Information Science & Technology. Annual Meeting Proceedings |
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ISSN | 0044-7870 |
Keywords
- Interactive Information Retrieval
- Simulated Work Task Situations
- Realistic Search Tasks
- Information Need Context
- Book Search Relevance