License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.10471.3
URN: urn:nbn:de:0030-drops-29382
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2011/2938/
Go to the corresponding Portal

Arias-Hernández, Richard ; Kaastra, L. ; Green, Tera Marie ; Fisher, Brian D.

Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics

pdf-format:
10471.FisherBrian.Paper.2938.pdf (0.3 MB)

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.

BibTeX - Entry

@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/opus/volltexte/2011/2938},
  URN =		{urn:nbn:de:0030-drops-29382},
  doi =		{10.4230/DagSemProc.10471.3},
  annote =	{Keywords: Pair analytics, qualitative methods}
}

Keywords: Pair analytics, qualitative methods
Collection: 10471 - Scalable Visual Analytics
Issue Date: 2011
Date of publication: 01.02.2011

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI