Supporting Historical Research Through User-Centered Visual Analytics
dc.contributor.author | Boukhelifa, Nadia | en_US |
dc.contributor.author | Giannisakis, Emmanouil | en_US |
dc.contributor.author | Dimara, Evanthia | en_US |
dc.contributor.author | Willett, Wesley | en_US |
dc.contributor.author | Fekete, Jean-Daniel | en_US |
dc.contributor.editor | E. Bertini and J. C. Roberts | en_US |
dc.date.accessioned | 2015-05-24T19:45:46Z | |
dc.date.available | 2015-05-24T19:45:46Z | |
dc.date.issued | 2015 | en_US |
dc.description.abstract | In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background search. Organising and making sense of all this data can be challenging as many historians continue to rely on analog or basic digital tools. We built an integrated note-taking environment for historians which unifies a set of functionalities we identified as important for historical research including editing, tagging, searching, sharing and visualization. Our approach was to involve users from the initial stage of brainstorming and requirement analysis through to design, implementation and evaluation. We report on the process and results of our work, and conclude by reflecting on our own experience in conducting user-centered visual analytics design for digital humanities. | en_US |
dc.description.sectionheaders | Analytical Reasoning | en_US |
dc.description.seriesinformation | EuroVis Workshop on Visual Analytics (EuroVA) | en_US |
dc.identifier.doi | 10.2312/eurova.20151095 | en_US |
dc.identifier.pages | 1-5 | en_US |
dc.identifier.uri | https://doi.org/10.2312/eurova.20151095 | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | H.5.2 [Information Interfaces and Presentation] | en_US |
dc.subject | User Interfaces—User | en_US |
dc.subject | centered design | en_US |
dc.title | Supporting Historical Research Through User-Centered Visual Analytics | en_US |
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