I would like to announce a call for papers for a Visual Analytics in
the Context of the Organization minitrack at the Hawaii International
Conference for the Systems Science Jan 5-8 on Kauai Hawaii . Papers
are due June 15, and are to be submitted on PrecisionConference.
Please feel free to pass this on, or if you have other suggestions for
places to advertise let me know.
HICSS main:
http://www.hicss.hawaii.edu/hicss_43/apahome43.htm
Minitrack:
http://www.hicss.hawaii.edu/hicss_43/minitracks/dm-vao.htm
Submissions:
https://precisionconference.com/~hicss/
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Visual analytics in the context of the organization
Visual Analytics is an inherently interdisciplinary research approach
to information systems. It combines the scientific investigation of
information processing in human-computer cognitive systems with the
design and implementation of interactive visualization interfaces for
difficult analytic tasks. Visualized data may be uncertain in fact,
relevance, and location in space and time, and may be processed with
statistical, mathematical models or AI in partnership with the human
analyst. The results of VA research include not only new technologies,
but also new ways of integrating technology in the organization,
training analysts and evaluating the overall success of the analytic
process.
Visual Analytics was defined as “ the science of analytical reasoning
facilitated by interactive visual interfaces”. Data and information
visualization have long been used to study scientific phenomena,
analyze data, and to explore large amounts of multivariate data. In
contrast to computation alone, visualization can harness the human
mind’s innate “visual intelligence” to gain novel insights into
situations characterized by complex data that may contain uncertainty
in fact, relevance, location in space and position in time. While
methods for creating graphical visualizations are well understood,
visual analytics (VA) seeks to directly address the process of human
reasoning with interactive visualizations. It does so by combining the
scientific
investigation of human perception, cognition and interaction with
information with advanced computation, mathematics and statistical
analysis methods.
Formed in response to the vast amounts of data that can potentially
inform human decision making across a broad range of activities, VA
extends visualization research to take a scientific approach to the
investigation of cognitive processing by human-computer systems in the
context of organizations. Empirical methods range from social sciences
approaches to organizational behavior in technology-enabled
organizations to perceptual studies of individuals using interactive
visualization environments to understand complex datasets. In
parallel, technology
developers work to develop new algorithms for acquiring and processing
data and new approaches to displaying it graphically for human
understanding and interaction. This interplay between an emerging
empirical science of cognitive systems and advanced graphical,
computational, mathematical and statistical analysis methods form the
basis for this new interdisciplinary field.
Visual Analytics research has received substantial funding from the US
Department of Homeland Security through its National and Regional
Visualization and Analytics Centers, with a follow-on Center of
Excellence in Visual Analytics to come. The US National Science
Foundation has the Foundations of Data and Visual Analytics program,
and a new European Union7th Framework European Coordination Action
“VisMaster” focuses on Visual Analytics. Other efforts include a
Deutsche Forschungsgemeinschaft Priority Program "Scalable Visual
Analytics".
VA applies to a broad range of situations where human expertise must
be brought to bear on problems characterized by massive datasets and
data that are uncertain in fact, relevance, location in space and
position in time. Examples include environmental science and
technologies, natural resources and energy, health and related life
sciences, safety and security (aircraft safety, law enforcement,
antiterrorism, disaster relief) and business processes.
The majority of previous VA events have emphasized the design of
visual analytics technologies for applications in law enforcement,
antiterrorism, and disaster relief. A few events have examined how
human cognition and perception research can be applied to the design
of VA systems. For this minitrack we hope to attract submissions that
extend the areas of use to include a broader array of applications
such as business intelligence, financial analysis, and other domains
where interactive visualization systems may be used to improve human
decision making. Research methods may include studies of visualization
systems in the context of the organization (e.g. communication between
analysts and policy-makers) as well as perceptual and cognitive
aspects of individual and collaborative analysis using these systems.
This includes communication between analysts and decision-makers.
Educational programs that support
training of visual interaction designers are also welcome.
Cheers
Brian Fisher
Associate Professor, SFU School of Interactive Arts and Technology
Associate Director, UBC Media And Graphics Interdisciplinary Centre
http://www.siat.sfu.ca/faculty/Brian-Fisher/
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