[Infovis] CFP: Special issue on human centric visual analytics at Journal of Behaviour & Information Technology

[BIT Journal]

[Apologies for multiple copies]

Special issue on human centric visual analytics: Journal of Behaviour &
Information Technology (2016 Impact Factor: 1.388)

Currently, many visual analytics products and tools have been developed.
However, in developing those tools and products, much attention has been
paid on mining data patterns and making the hidden information visible to
users. Relatively less attention has been paid on how this information
should be presented for sense making decision making. This imbalance
between human and computer has resulted in the lack of theories and
guidelines for system design and evaluation and prevented systems and tools
from being more useful in practice.

To foster an incentive to address the issue and improve the situation, this
specie issue targets on new visualization theories, novel design
principles, analytics techniques and evaluation methodologies that are to
address issues surrounding human-centric visual analytics. The primary
objective is to foster focused attention in this emerging area and to serve
as forum for researchers and professionals all over the world to exchange
and discuss the latest advances.

To be precise, the aim of this special issue is to present a collection of
high-quality research papers on the state-of-the-art in the emerging area
of human-centric visual analytics. We are soliciting original contributions
that have not been published and are not currently under review by any
other journals or conferences. Papers to be submitted to this special issue
must focus on the human side of visual analytics. All submitted papers will
be peer-reviewed and papers will be selected based on their quality and
relevance to the theme of this special issue. Topics considered for this
special issue include, but are not limited to, the following:

• Visual perception and cognition

• Design principle and guidelines for human-centric visual analytics

• New evaluation methodologies and metrics

• New visualization and visual analytics theories.

• Adaption and refinement of existing theories and principles from HCI and
Psychology in human–centric visual analytics

• Novel human-data interfaces, frameworks, reference models, architectures,
tools and systems

• New human-data, human-computer and human-human interaction methods in the
context of visual analytics

• Human, social and cultural factors in collaborative visual analytics


Schedule:

Paper submission deadline: April 30, 2018

Review notification: June 30, 2018

Revised paper submission: August 30, 2018

Final notification: October 30, 2018

Publication: Late 2018


For more details, please see:
http://explore.tandfonline.com/cfp/est/jmj02888-tbit-si-human-centric-visual-analytics?utm_source=TFO&utm_medium=cms&utm_campaign=JMJ02888


Guest editors:

Dr. Weidong Huang, Swinburne University of Technology, Australia.

Professor Yuhua Luo, University of the Balearic Islands, Spain.

Professor Brian Fisher, Simon Fraser University, Canada

Professor Remco Chang, Tufts University, USA