A study of search result aggregation approaches for the digital humanities.
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| Title: | A study of search result aggregation approaches for the digital humanities. |
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| Authors: | Momeni, Milad1 (AUTHOR), Hoeber, Orland1 (AUTHOR) orland.hoeber@uregina.ca |
| Source: | Journal of the Association for Information Science & Technology. Nov2025, Vol. 76 Issue 11, p1488-1507. 20p. |
| Subjects: | Internet searching, Scale analysis (Psychology), Student satisfaction, Intellect, Database searching, Research funding, Data analysis, Cronbach's alpha, Task performance, Undergraduates, Statistical sampling, Questionnaires, Kruskal-Wallis Test, Academic libraries, Reference books, Information resources, Mann Whitney U Test, Descriptive statistics, Surveys, Humanities, Analysis of variance, Statistics, Electronic books, Student attitudes, Comparative studies, User-centered system design, User interfaces, Inter-observer reliability, Information-seeking behavior, Digital libraries |
| Geographic Terms: | Saskatchewan |
| Abstract: | Searching across diverse information platforms, such as digital humanities archives, academic digital libraries, and encyclopedias, poses challenges in managing the queries issued to each platform and synthesizing the resources discovered. While search result aggregation interfaces address this problem, how best to present the search results from different platforms in the search engine results page remains an open question. In this research, we implemented three common approaches and developed a new technique for aggregating search results across three platforms: Europeana, our University's academic library, and Wikipedia. The three common approaches (1) use tabs to switch between the platforms, (2) interleave results from each platform producing a single list, and (3) use a bento box approach to group results from each platform. The new technique organizes the search results into thematic clusters irrespective of their source platform. We designed a controlled laboratory study using a within‐subjects design and exploratory search tasks conducted in the context of digital humanities searching. We collected data from 32 student participants, focusing on utility, perceived value, and diversity of saved resources. This study provides evidence that thematic clustering can be a beneficial aggregation approach, opening opportunities for studying different ways of representing and visualizing aggregated search results. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Abstract: | Searching across diverse information platforms, such as digital humanities archives, academic digital libraries, and encyclopedias, poses challenges in managing the queries issued to each platform and synthesizing the resources discovered. While search result aggregation interfaces address this problem, how best to present the search results from different platforms in the search engine results page remains an open question. In this research, we implemented three common approaches and developed a new technique for aggregating search results across three platforms: Europeana, our University's academic library, and Wikipedia. The three common approaches (1) use tabs to switch between the platforms, (2) interleave results from each platform producing a single list, and (3) use a bento box approach to group results from each platform. The new technique organizes the search results into thematic clusters irrespective of their source platform. We designed a controlled laboratory study using a within‐subjects design and exploratory search tasks conducted in the context of digital humanities searching. We collected data from 32 student participants, focusing on utility, perceived value, and diversity of saved resources. This study provides evidence that thematic clustering can be a beneficial aggregation approach, opening opportunities for studying different ways of representing and visualizing aggregated search results. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 23301635 |
| DOI: | 10.1002/asi.70006 |
