CollabGraph: A graph-based collaborative search summary visualisation

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Ilkou, E.; Tolmachova, T.; Fisichella, M.; Taibi, D.: CollabGraph: A graph-based collaborative search summary visualisation. In: IEEE Transactions on Learning Technologies 16 (2023), Nr. 3, S. 1-18. DOI: https://doi.org/10.1109/tlt.2023.3242174

Version im Repositorium

Zum Zitieren der Version im Repositorium verwenden Sie bitte diesen DOI: https://doi.org/10.15488/15454

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Zusammenfassung: 
Currently, the search history in search engines is presented in a list view of some combination of enumerated results by title, URL, or search query. However, this classical list view is not ideal in collaborative search environments as it does not always assist users in understanding collaborators' search history results and the project's status. We present CollabGraph, a system for graph-based summary visualization in collaborative search learning environments. Our system differentiates from existing solutions by visualizing the summary of the collaboration results in a graph and having its core personal knowledge graphs (PKGs) for each user. Our research questions concentrate around the CollabGraph's usefulness, preference, and enhancement of participation of student's and teacher's feedback compared to the list view of search history results. We evaluate our approach with an online questionnaire in six different project-based searching as learning (SaL) scenarios (LSs). The evaluation of users' experience indicates that the CollabGraph is useful, highly likeable, and could benefit users' participation and teacher's feedback by providing more precise insights into the project status. Our approach helps users better perceive about everyone's work, and it is a highly preferable feature alongside the list view. In addition, the results demonstrate that graph summary visualizations, such as the CollabGraph, are more suitable for closed-end scenarios and collaborative projects with many participants.
Lizenzbestimmungen: CC BY 4.0 Unported
Publikationstyp: Article
Publikationsstatus: publishedVersion
Erstveröffentlichung: 2023
Die Publikation erscheint in Sammlung(en):Forschungszentren

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Pos. Land Downloads
Anzahl Proz.
1 image of flag of No geo information available No geo information available 23 39,66%
2 image of flag of Germany Germany 12 20,69%
3 image of flag of United States United States 8 13,79%
4 image of flag of Philippines Philippines 4 6,90%
5 image of flag of Netherlands Netherlands 2 3,45%
6 image of flag of Spain Spain 2 3,45%
7 image of flag of Zimbabwe Zimbabwe 1 1,72%
8 image of flag of France France 1 1,72%
9 image of flag of Canada Canada 1 1,72%
10 image of flag of Belgium Belgium 1 1,72%
    andere 3 5,17%

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