The science of interaction

The science of interaction

There is a growing recognition within the visual analytics community that interaction and inquiry are inextricable. It is through the interactive manipulation of a visual interface–the analytic discourse–that knowledge is constructed, tested, refined and shared. This article reflects on the interact...

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Bibliographic Details
Published in:Information visualization Vol. 8; no. 4; pp. 263 - 274
Main Authors: Pike, William A., Stasko, John, Chang, Remco, O'Connell, Theresa A.
Format: Journal Article
Language:English
Published: London, England SAGE Publications 01-12-2009
SAGE PUBLICATIONS, INC
Subjects:
Analysis
Cognition & reasoning
Collaboration
Interfaces
Knowledge
R&D
Research & development
Science
Software
Studies
Visualization
visual analytics
interaction theory
collaboration
reasoning
Online Access:Get full text
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Summary:There is a growing recognition within the visual analytics community that interaction and inquiry are inextricable. It is through the interactive manipulation of a visual interface–the analytic discourse–that knowledge is constructed, tested, refined and shared. This article reflects on the interaction challenges raised in the visual analytics research and development agenda and further explores the relationship between interaction and cognition. It identifies recent exemplars of visual analytics research that have made substantive progress toward the goals of a true science of interaction, which must include theories and testable premises about the most appropriate mechanisms for human–information interaction. Seven areas for further work are highlighted as those among the highest priorities for the next 5 years of visual analytics research: ubiquitous, embodied interaction; capturing user intentionality; knowledge-based interfaces; collaboration; principles of design and perception; interoperability; and interaction evaluation. Ultimately, the goal of a science of interaction is to support the visual analytics and human–computer interaction communities through the recognition and implementation of best practices in the representation and manipulation of visual displays.
Bibliography:ObjectType-Article-2
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ISSN:1473-8716
1473-8724
DOI:10.1057/ivs.2009.22