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Documents authored by Fisher, Brian D.

Found 2 Possible Name Variants:

Fisher, Brian D.

Document
DOI: 10.4230/DagRep.3.8.151
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.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
DOI: 10.4230/DagSemProc.10471.3
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.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}
}

Fisher, Brian

Document
DOI: 10.4230/DFU.SciViz.2010.227
From Visualization to Visually Enabled Reasoning

Authors: Joerg Meyer, Jim Thomas, Stephan Diehl, Brian Fisher, and Daniel A. Keim

Published in: Dagstuhl Follow-Ups, Volume 1, Scientific Visualization: Advanced Concepts (2010)

Abstract
Interactive Visualization has been used to study scientific phenomena, analyze data, visualize information, and to explore large amounts of multi-variate data. It enables the human mind to gain novel insights by empowering the human visual system, encompassing the brain and the eyes, to discover properties that were previously unknown. While it is believed that the process of creating interactive visualizations is reasonably well understood, the process of stimulating and enabling human reasoning with the aid of interactive visualization tools is still a highly unexplored field. We hypothesize that visualizations make an impact if they successfully influence a thought process or a decision. Interacting with visualizations is part of this process. We present exemplary cases where visualization was successful in enabling human reasoning, and instances where the interaction with data helped in understanding the data and making a better informed decision. We suggest metrics that help in understanding the evolution of a decision making process. Such a metric would measure the efficiency of the reasoning process, rather than the performance of the visualization system or the user. We claim that the methodology of interactive visualization, which has been studied to a great extent, is now sufficiently mature, and we would like to provide some guidance regarding the evaluation of knowledge gain through visually enabled reasoning. It is our ambition to encourage the reader to take on the next step and move from information visualization to visually enabled reasoning.
Cite as

Joerg Meyer, Jim Thomas, Stephan Diehl, Brian Fisher, and Daniel A. Keim. From Visualization to Visually Enabled Reasoning. In Scientific Visualization: Advanced Concepts. Dagstuhl Follow-Ups, Volume 1, pp. 227-245, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InCollection{meyer_et_al:DFU.SciViz.2010.227,
  author =	{Meyer, Joerg and Thomas, Jim and Diehl, Stephan and Fisher, Brian and Keim, Daniel A.},
  title =	{{From Visualization to Visually Enabled Reasoning}},
  booktitle =	{Scientific Visualization: Advanced Concepts},
  pages =	{227--245},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-19-4},
  ISSN =	{1868-8977},
  year =	{2010},
  volume =	{1},
  editor =	{Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DFU.SciViz.2010.227},
  URN =		{urn:nbn:de:0030-drops-27078},
  doi =		{10.4230/DFU.SciViz.2010.227},
  annote =	{Keywords: Interactive Visualization, Reasoning}
}
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