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Supporting historical research through user-centered visual analytics
Supporting historical research through user-centered visual analytics
International audience; 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 func-tionalities 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.
- Université Paris Diderot France
- Institut Pasteur France
- UNIVERSITE PARIS DESCARTES France
- Inserm France
- French Institute for Research in Computer Science and Automation France
[ SDV ] Life Sciences [q-bio], User-centered design, human computer interaction, computer science, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], User Interfaces, User Interfaces;User-centered design;computer science;human computer interaction
[ SDV ] Life Sciences [q-bio], User-centered design, human computer interaction, computer science, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], User Interfaces, User Interfaces;User-centered design;computer science;human computer interaction
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[BOD14] BENEŠ J., O'CONNOR A., DIMARA E.: The CENDARI Project: A user-centered enquiry environment for modern and medieval historians [Poster]. In Digital Humanities (Lausanne, Switzerland, July 2014), pp. 434-436. 4
[CEN15] CENDARI: Collaborative european digital archive infrastructure, 2015. 1
[CSL 10] CAO N., SUN J., LIN Y.-R., GOTZ D., LIU S., QU H.: Facetatlas: Multifaceted visualization for rich text corpora. Visualization and Computer Graphics, IEEE Transactions on 16, 6 (Nov 2010), 1172-1181. 3
[Cun15] CUNNINGHAM S.: Archive skills and tools for historians, 2015. 1
[Ela15] ELASTICSEARCH: Elasticsearch, 2015. 4
[WC12] WALSH E., CHO I.: Using evernote as an electronic lab notebook in a translational science laboratory. Journal of Laboratory Automation (Dec. 2012). 2
[WHHA11] WILLETT W., HEER J., HELLERSTEIN J., AGRAWALA M.: Commentspace: Structured support for collaborative visual analysis. ACM Human Factors in Computing Systems (CHI) (2011), 3131-3140. 2
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Popularity provided by BIP!- Université Paris Diderot France
- Institut Pasteur France
- UNIVERSITE PARIS DESCARTES France
- Inserm France
- French Institute for Research in Computer Science and Automation France
International audience; 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 func-tionalities 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.