[Ieee_vis] 2nd CFP: IEEE VR Immersive Analytics Workshop

[Jian Chen]

Dear colleagues,


We invite you to contribute to the IEEE Virtual Reality
<http://ieeevr.org/2016/> - Immersive Analytics (IA) 2016, an international
workshop on visual analytics in virtual reality environments.

https://sites.google.com/site/immersiveanalytics/2006-workshop-cfp.


The goal of this workshop is to form an IA community and discuss what this
community can do to advance discovery science and enable IA-based
communication, define the specific research goals, and to discuss metrics
to validate IA. We will also explore the ways in which IA differs from and
offers benefits well beyond traditional visual analytics and virtual
reality.


Important Dates

Paper submission deadline: February 5, 2016

Notification of acceptance: February 15, 2016

Camera-ready copy: February 29, 2016

Workshop date: March 23 or March 24 2016 (half-day)


*Location*

       Greenville, SC, USA (co-located with IEEE VR conference)


Format

This half-day workshop will feature a series of invited presentations by
leading visualization, virtual reality, and interaction researchers, as
well as short paper presentations, panels, and a poster session.


*Introduction*

Immersive analytics (IA) investigates how new interaction and display
technologies can be used to support analytical reasoning and decision
making.


IA lies at the intersection of the visualization disciplines in data
science, hybrid reality, and 3D interfaces and interaction. The essence of
IA consists of deriving insights from data by using powerful display
technologies. These technologies augment the human ability to analyze and
make sense of the heterogeneous, noisy, often massive and multifaceted
datasets common in many scientific disciplines, such as biology,
engineering, physics, chemistry, security, health informatics, and brain
science.


Since “resolution beats memory”, increased screen resolution means that
display technologies support the dual modalities of omni-stereo and mono
display and can show both structured and unstructured data, breaking the
traditional barriers between VR and tiled wall displays from the
visualization side and blending augmented reality, virtual reality, and
natural user interfaces from the user interface side. Some examples of such
hybrid reality environments include CAVE2 at UIC
<https://www.evl.uic.edu/entry.php?id=2016>, YURT
<http://blog.cs.brown.edu/2014/11/10/yurtatbrown/> at Brown, Reality Deck
<https://labs.cs.sunysb.edu/labs/vislab/reality-deck-home/>at SUNY,
Augmentarium <http://augmentarium.umiacs.umd.edu/> at University of
Maryland, HIVE <http://virtualreality.duke.edu/> at Duke, the five-sided La
Cueva Grande <https://www.lanl.gov/about/_assets/docs/scc.pdf>at LANL, and
AlloSphere <http://www.allosphere.ucsb.edu/> at UCSB. We anticipate to see
a growth of real-world uses of such high-resolution and immersive
environments to improve scientists’ capabilities to generate new hypotheses
and make new discoveries.


Papers

Paper submissions can be up to 6 pages and should describe the role,
application, and impact of immersive analytics in knowledge discovery.  We
particularly encourage papers that cross disciplinary boundaries and show
how immersive analytics can catalyze discovery.


Papers will be published on the workshop website as well as in the IEEE
Xplore <http://ieeexplore.ieee.org/Xplore/home.jsp> and will be included on
the VR USB stick. We consider these manuscripts to be works in progress and
encourage authors to publish improved versions in a journal or at another
venue at a later time. We are working on a plan to invite a selected subset
of the papers to appear in a special issue in a journal or magazine venue
such as the IEEE CG&A.


We accept two types of submissions: research and position papers. The
workshop welcome contributions from all areas of immersive analytics,
including information visualization, scientific visualization, visual
analytics, and associated interaction techniques in virtual environments.
The workshop places strong emphasis on interdisciplinary sciences and on
showing how novel techniques can support knowledge discovery otherwise
impossible. We encourage submission of work in progress and preliminary
results, previously published work from other venues, and immersive
analytics challenges.


Research papers aim to make progress toward novel design methods and to
discuss their benefits and limitations in using IA techniques. Position
papers are problem discussions or statements describing the authors’
relevant experience and ideas about immersive analytics techniques and
methodologies for knowledge discovery and effective visual communication.


Posters

Submissions consist of a brief 250-word abstract and one supporting image
that summarize the work. Authors must present a corresponding poster during
the designated poster session, and are encouraged to incorporate a demo or
video into their presentation. Authors also have the opportunity to give a
brief oral preview during a plenary “fast-forward” session.


All submissions will be peer-reviewed by the organizers.


Submission and Formatting Guidelines

Please format your submission according to the VGTC formatting guidelines (
http://junctionpublishing.org/vgtc/Tasks/camera.html).

To submit a paper, please use https://easychair.org/conferences/?conf=iv2016.
The submission must be in PDF format. All submissions will be single-blind
(authors can reveal their names on the submission).


Topics that are NOT of interest:

   - Techniques that do not address discovery and visual communication in
   real-world uses


Organizers

Jian Chen <http://www.csee.umbc.edu/~jichen>, University of Maryland,
Baltimore County, USA

G. Elisabeta Marai <https://www.evl.uic.edu/marai/>, University of Illinois
at Chicago, USA

Kim Marriott <http://www.csse.monash.edu.au/~marriott/>, Monash University,
Australia

Falk Schreiber
<http://www.infotech.monash.edu.au/research/profiles/profile.html?sid=3527628&pid=10722>,
Monash University, Australia

Bruce H. Thomas <http://people.unisa.edu.au/Bruce.Thomas>, University of
South Australia, Australia


*Contact*

immersiveanalytics2016 at gmail.com


Best regards,

-- Jian, Liz, Kim, Falk, and Bruce

-------------------------------------------------------------
Jian Chen, PhD, Assistant Prof.
UMBC Innovation Fellow
CSEE, University of Maryland, Baltimore County

http://www.csee.umbc.edu/~jichen
​
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