2 Search Results for "Fisher, Brian D."


Document
Interaction with Information for Visual Reasoning (Dagstuhl Seminar 13352)

Authors: David S. Ebert, Brian D. Fisher, and Petra Isenberg

Published in: Dagstuhl Reports, Volume 3, Issue 8 (2013)


Abstract
From August 26--August 30, 2013 Seminar 13352 was held at Dagstuhl on the topic of "Interaction with Information for Visual Reasoning." The seminar brought together a group of cognitive scientists, psychologists, and computer scientists in the area of scientific visualization, information visualization, and visual analytics who were carefully selected for their theoretical and methodological capabilities and history of interdisciplinary collaboration. During the workshop seven discussion groups were formed during which the role of interaction for visualization was carefully reflected on. We discussed in particular the value, structure, and different types of interaction but also how to evaluate visualization and the idea of 'narrative' as applied to visual analytics. This report documents the program and short summaries of the discussion groups for the seminar.

Cite as

David S. Ebert, Brian D. Fisher, and Petra Isenberg. Interaction with Information for Visual Reasoning (Dagstuhl Seminar 13352). In Dagstuhl Reports, Volume 3, Issue 8, pp. 151-167, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)


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@Article{ebert_et_al:DagRep.3.8.151,
  author =	{Ebert, David S. and Fisher, Brian D. and Isenberg, Petra},
  title =	{{Interaction with Information for Visual Reasoning (Dagstuhl Seminar 13352)}},
  pages =	{151--167},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{3},
  number =	{8},
  editor =	{Ebert, David S. and Fisher, Brian D. and Isenberg, Petra},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.3.8.151},
  URN =		{urn:nbn:de:0030-drops-43463},
  doi =		{10.4230/DagRep.3.8.151},
  annote =	{Keywords: Interaction, visualization, visual analytics, cognitive science, psychology}
}
Document
Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics

Authors: Richard Arias-Hernández, L. Kaastra, Tera Marie Green, and Brian D. Fisher

Published in: Dagstuhl Seminar Proceedings, Volume 10471, Scalable Visual Analytics (2011)


Abstract
Studying how humans interact with abstract, visual representations of massive amounts of data provides knowledge about how cognition works in visual analytics. This knowledge provides guidelines for cognitive-aware design and evaluation of visual analytic tools. Different methods have been used to capture and conceptualize these processes including protocol analysis, experiments, cognitive task analysis, and field studies. In this article, we introduce Pair Analytics: a method for capturing reasoning processes in visual analytics. We claim that Pair Analytics offers two advantages with respect to other methods: (1) a more natural way of making explicit and capturing reasoning processes and (2) an approach to capture social and cognitive processes used to conduct collaborative analysis in real-life settings. We support and illustrate these claims with a pilot study of three phenomena in collaborative visual analytics: coordination of attention, cognitive workload, and navigation of analysis.

Cite as

Richard Arias-Hernández, L. Kaastra, Tera Marie Green, and Brian D. Fisher. Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics. In Scalable Visual Analytics. Dagstuhl Seminar Proceedings, Volume 10471, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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@InProceedings{ariashernandez_et_al:DagSemProc.10471.3,
  author =	{Arias-Hern\'{a}ndez, Richard and Kaastra, L. and Green, Tera Marie and Fisher, Brian D.},
  title =	{{Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics}},
  booktitle =	{Scalable Visual Analytics},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10471},
  editor =	{Daniel A. Keim and Stefan Wrobel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.10471.3},
  URN =		{urn:nbn:de:0030-drops-29382},
  doi =		{10.4230/DagSemProc.10471.3},
  annote =	{Keywords: Pair analytics, qualitative methods}
}
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