Call for Papers for a Special Issue of Human-Computer Interaction journal

Juan Wachs <[email protected]>
Newsgroups gmane.comp.hci.acm-sigchi.resources
Message-ID <CAMzFAjV2qk-6d0R3TYy1LvsEMRihTwSx5ZXRTRw6iu0QGjVfQw@mail.gmail.com>
Call for Papers for a Special Issue of Human-Computer Interaction journal
Body Sensing and Tracking in Healthcare
*Special Issue Editors*
Kenton O'Hara (Microsoft Research)
Abigail Sellen  (Microsoft Research)
Juan Wachs (Purdue University)
Bart Jansen (University of Brussels)


Recent technical developments in sensing and tracking the human body and
and its motions have sparked huge interest in healthcare domains. New
interaction techniques promise to transform key aspects of healthcare
practice for both diagnosis and treatment. Developments in sensing
capabilities and machine learning open up rich possibilities for tracking
and analysing the body's form and movement. Alongside established
optoelectronic sensing, in which machine readable markers are placed on the
patient's body, marker-free computer vision technologies (e.g., Kinect)
have made body tracking cheaper and more practical. In addition, sensors
such as accelerometers, gyroscopes, and ultrasonics offer new opportunities
for how body form, motion, and orientation can be understood.
These body-tracking technologies are already being explored in both
patient- and clinician-oriented applications. They are being deployed in
diagnosis and ongoing assessment of motor impairment conditions such as
Multiple Sclerosis.  Research is examining their use in rehabilitation of
movement disorders arising from injury or other conditions.  Within the
operating theatre, touchless gesture recognition enables clinicians to
interact with medical images without compromising sterility.  Other
augmented-reality research explores how cameras and projectors can be used
to superimpose medical images on the patient enabling clinicians to view
inside the body in relation to external anatomical features.
These systems raise important research questions that are central to the
concerns of Human-Computer Interaction, from the development of new forms
of interaction to the understanding of emerging practices with these
systems in clinical contexts. This special issue will bring together
original research exploring HCI concerns of body form and motion tracking
in healthcare including: surgery, patient diagnosis, assessment,
rehabilitation, and other forms of clinical intervention.  It will also
address the effect of these new technologies on existing clinical and
treatment practices.
Research topics include:

   - Novel applications of body tracking for assessment, rehabilitation,
   and diagnosis of particular clinical conditions.
   - New interaction techniques with clinical relevance enabled by these
   technologies.
   - Studies of collaborative practices in clinical contexts with such
   systems, changes in clinical practices they enable, and challenges for
   existing clinical practice arising from their deployment.
   - Specific modeling methods and considerations that are required for
   successful body tracking technologies in relation to specific clinical
   requirements (e.g., skeletal models and smoothing of dynamic data for
   motion).

Papers exploring other issues arising from the design and deployment of
these new techniques are also welcome.
Timeline

   - Call for Proposals: April 11, 2014


   - Proposals due: May 30, 2014
   - Response to authors: July 4, 2014
   - Full papers due: October 31, 2014
   - Reviews to authors: January 30, 2015
   - Revised papers due: March 27, 2015
   - Reviews to authors: June 5, 2015
   - Final papers due: July 3, 2015

Submissions
To help authors align their research to the theme of this special issue, we
encourage potential authors to submit proposals for papers. Proposals
should be about 1000 words and provide a clear indication of what the paper
is about. Proposals will be evaluated for relevance to the special issue
theme, and guidance will be given. Both proposal and full paper submissions
should be submitted to the *HCI *Editorial site (
mc.manuscriptcentral.com/hci<https://exchange.purdue.edu/owa/redir.aspx?C=9K0poWXL5U6XarK9cHwgDQsLqgRPIdEI26BJL_-DtHSIp2EaksnW2yy4xgr-tNzUuVdlTWU7OlE.&URL=http%3a%2f%2fmc.manuscriptcentral.com%2fhci>).
Follow the guidelines and instructions for submissions on the site. There
is a place on the submission site to note that your submission is for this
special issue. Special Issue submissions will be peer reviewed to the usual
standards of the *HCI *journal.

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