Literature DB >> 22144529

Empirical Studies in Information Visualization: Seven Scenarios.

Heidi Lam, Enrico Bertini, Petra Isenberg, Catherine Plaisant, Sheelagh Carpendale.   

Abstract

We take a new, scenario-based look at evaluation in information visualization. Our seven scenarios, evaluating visual data analysis and reasoning, evaluating user performance, evaluating user experience, evaluating environments and work practices, evaluating communication through visualization, evaluating visualization algorithms, and evaluating collaborative data analysis were derived through an extensive literature review of over 800 visualization publications. These scenarios distinguish different study goals and types of research questions and are illustrated through example studies. Through this broad survey and the distillation of these scenarios, we make two contributions. One, we encapsulate the current practices in the information visualization research community and, two, we provide a different approach to reaching decisions about what might be the most effective evaluation of a given information visualization. Scenarios can be used to choose appropriate research questions and goals and the provided examples can be consulted for guidance on how to design one's own study.

Year:  2011        PMID: 22144529     DOI: 10.1109/TVCG.2011.279

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  11 in total

1.  Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs.

Authors:  Carolina Nobre; Nils Gehlenborg; Hilary Coon; Alexander Lex
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-03-06       Impact factor: 4.579

2.  Interactive visualization of public health indicators to support policymaking: An exploratory study.

Authors:  Moutasem Zakkar; Kamran Sedig
Journal:  Online J Public Health Inform       Date:  2017-09-08

3.  Visualization of Multidimensional Data in Nursing Science.

Authors:  Sharron L Docherty; Allison Vorderstrasse; Debra Brandon; Constance Johnson
Journal:  West J Nurs Res       Date:  2016-10-22       Impact factor: 1.967

4.  Helium: visualization of large scale plant pedigrees.

Authors:  Paul D Shaw; Martin Graham; Jessie Kennedy; Iain Milne; David F Marshall
Journal:  BMC Bioinformatics       Date:  2014-08-01       Impact factor: 3.169

5.  Information architecture for a patient-specific dashboard in head and neck tumor boards.

Authors:  Alexander Oeser; Jan Gaebel; Andreas Dietz; Susanne Wiegand; Steffen Oeltze-Jafra
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-03-28       Impact factor: 2.924

6.  Integrated web visualizations for protein-protein interaction databases.

Authors:  Fleur Jeanquartier; Claire Jean-Quartier; Andreas Holzinger
Journal:  BMC Bioinformatics       Date:  2015-06-16       Impact factor: 3.169

7.  Effects of Individual Differences in Working Memory on Plan Presentational Choices.

Authors:  Nava Tintarev; Judith Masthoff
Journal:  Front Psychol       Date:  2016-11-16

8.  Augmenting geovisual analytics of social media data with heterogeneous information network mining-Cognitive plausibility assessment.

Authors:  Alexander Savelyev; Alan M MacEachren
Journal:  PLoS One       Date:  2018-12-04       Impact factor: 3.240

9.  Health timeline: an insight-based study of a timeline visualization of clinical data.

Authors:  Andres Ledesma; Niranjan Bidargaddi; Jörg Strobel; Geoffrey Schrader; Hannu Nieminen; Ilkka Korhonen; Miikka Ermes
Journal:  BMC Med Inform Decis Mak       Date:  2019-08-22       Impact factor: 2.796

10.  An expert study on hierarchy comparison methods applied to biological taxonomies curation.

Authors:  Lilliana Sancho-Chavarria; Fabian Beck; Erick Mata-Montero
Journal:  PeerJ Comput Sci       Date:  2020-06-29
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