Literature DB >> 25164405

Visual analytics as a translational cognitive science.

Brian Fisher1, Tera Marie Green, Richard Arias-Hernández.   

Abstract

Visual analytics is a new interdisciplinary field of study that calls for a more structured scientific approach to understanding the effects of interaction with complex graphical displays on human cognitive processes. Its primary goal is to support the design and evaluation of graphical information systems that better support cognitive processes in areas as diverse as scientific research and emergency management. The methodologies that make up this new field are as yet ill defined. This paper proposes a pathway for development of visual analytics as a translational cognitive science that bridges fundamental research in human/computer cognitive systems and design and evaluation of information systems in situ. Achieving this goal will require the development of enhanced field methods for conceptual decomposition of human/computer cognitive systems that maps onto laboratory studies, and improved methods for conducting laboratory investigations that might better map onto real-world cognitive processes in technology-rich environments.
Copyright © 2011 Cognitive Science Society, Inc.

Entities:  

Keywords:  Augmented cognition; Cognitive systems; Human-computer interaction; Information systems; Translational research; Visual analytics; Visualization; Visually enabled reasoning

Mesh:

Year:  2011        PMID: 25164405     DOI: 10.1111/j.1756-8765.2011.01148.x

Source DB:  PubMed          Journal:  Top Cogn Sci        ISSN: 1756-8757


  2 in total

1.  Secondary Data Analytics of Aquaporin Expression Levels in Glioblastoma Stem-Like Cells.

Authors:  Raphael D Isokpehi; Katharina C Wollenberg Valero; Barbara E Graham; Maricica Pacurari; Jennifer N Sims; Udensi K Udensi; Kenneth Ndebele
Journal:  Cancer Inform       Date:  2015-07-30

2.  Experts' perceptions on the use of visual analytics for complex mental healthcare planning: an exploratory study.

Authors:  Erin I Walsh; Younjin Chung; Nicolas Cherbuin; Luis Salvador-Carulla
Journal:  BMC Med Res Methodol       Date:  2020-05-07       Impact factor: 4.615

  2 in total

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