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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Visual analytics as a translational cognitive science.

Brian Fisher1, Tera Marie Green, Richard Arias-Hernández

  • 1School of Interactive Arts and Technology, Simon Fraser University.

Topics in Cognitive Science
|August 29, 2014
PubMed
Summary
This summary is machine-generated.

Visual analytics requires a structured scientific approach to understand how graphical displays affect human cognition. This research proposes developing visual analytics as a translational cognitive science to bridge lab studies with real-world information system design.

Keywords:
Augmented cognitionCognitive systemsHuman-computer interactionInformation systemsTranslational researchVisual analyticsVisualizationVisually enabled reasoning

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Area of Science:

  • Interdisciplinary field of visual analytics.
  • Cognitive science.
  • Human-computer interaction.

Background:

  • Visual analytics is an emerging field focused on understanding human cognitive processes during interaction with complex graphical displays.
  • Its goal is to improve the design and evaluation of information systems for diverse applications like scientific research and emergency management.
  • Current methodologies in visual analytics are not yet well-defined.

Purpose of the Study:

  • To propose a development pathway for visual analytics as a translational cognitive science.
  • To bridge fundamental research in human/computer cognitive systems with the practical design and evaluation of information systems.
  • To enhance the scientific rigor of visual analytics.

Main Methods:

  • Developing enhanced field methods for conceptual decomposition of human/computer cognitive systems.
  • Mapping field methods to laboratory studies.
  • Improving laboratory investigation methods to better reflect real-world cognitive processes in technology-rich environments.

Main Results:

  • A proposed pathway for establishing visual analytics as a translational cognitive science.
  • Identification of needs for enhanced field and laboratory methods.
  • A framework for bridging basic research with applied system design and evaluation.

Conclusions:

  • Visual analytics needs a more structured scientific approach, integrating cognitive science principles.
  • Development requires improved methods for studying cognitive processes both in the lab and in situ.
  • This translational approach will enhance the effectiveness of information systems in critical domains.