We look for contributions for a Special Issue of IEEE Computer on
Physiological Computing.


*Full paper submission deadline: 1 April 2015Publication date: October 2015*

http://www.computer.org/web/computingnow/cocfp10

*Computer* seeks submissions for the October 2015 special issue on
challenges and applications in physiological computing.

Physiological computing—using human physiological data as system inputs in
real time — makes it possible to create dynamic user-state representations
so that software can respond dynamically and context-specifically to
changes in actual human user states. Various paradigms for
human–computer interaction fall under this general system rubric:
brain–computer interfaces, affective computing, adaptive automation, and
health informatics, among others.

Systems like these offer a number of advantages. For example, they can

   - *enhance interaction possibilities*, particularly during eyes-busy or
   hands-busy applications;
   - *allow for* *implicit control and/or response mechanisms,* such as
   automatic tagging of media content without explicit gesturing; and
   - *promote desirable psychological states and mitigate undesirable ones*,
   with benefits ranging from better performance to greater overall health.

Emerging research themes for physiological computing systems include sensor
development; real-time signal processing in the field; inference processing
(for example, between psychological states and objective measures); data
classification methods; and interface/interaction design.

Recent advances in physiological sensor technology and machine learning
have sparked increased development of such systems in a variety of fields
and also spurred exploration of new paradigms such as
human–computer symbiosis, which posits a deep mutual understanding between
humans and the computers that exploit their implicit physiological signals
(see G. Jacucci et al., “Symbiotic Interaction: A Critical Definition and
Comparison to Other Human–Computer Paradigms,” *Proc. 3rd Int’l Workshop
Symbiotic Interaction*, Springer, 2014, pp. 3–20).

This special issue aims to report on current tools, challenges, and
applications of physiological computing, providing readers a broad but
detailed understanding of how this area has developed and where it is going
next. Topics of interest include but are not limited to

   - New human–computer paradigms enabled by physiological computing — for
   example, symbiosis;
   - Sensor design, including smart clothing, embedded sensors, and
   contact-free monitoring;
   - Technological challenges, such as inferring states from measures in
   the real world and real-time classification;
   - Interaction issues, including system accuracy, application acceptance,
   and interface design; and
   - Potential applications — for example, mental workload monitoring,
   media tagging, adaptive gaming, and robotics.

Only technical articles describing previously unpublished, original,
state-of-the-art research, and not currently under review by a conference
or a journal will be considered. Updates to ongoing research efforts are
welcome, as long as the content is at least 30 percent different from
published manuscripts, the new document cites the authors' previous work,
and the authors provide the editors with a description of how the new
document differs. Articles should be understandable to a broad audience
of computer science and engineering professionals, avoiding a focus on
theory, mathematics, jargon, and abstract concepts. All manuscripts are
subject to peer review on both technical merit and relevance to *Computer*'s
readership. Accepted papers will be professionally edited for content and
style.

The guest editors for this special issue are

   - Giulio Jacucci ([log in to unmask]), University of Helsinki
   - Stephen Fairclough ([log in to unmask]), Liverpool John Moores
   University
   - Erin Solovey ([log in to unmask]), Drexel University

Paper submissions are due 1 April 2015. For author guidelines and
information, visit www.computer.org/web/peer-review/magazines.


*Erin Solovey**Assistant Professor of Computer Science*



The College of Computing & Informatics

*Drexel University*

3141 Chestnut Street

Philadelphia, PA 19104

Tel: 215.571.4598  |  Fax: 215.895.2494

drexel.edu/cci <http://www.drexel.edu/cci>

*cci.drexel.edu/faculty/esolovey/ <http://cci.drexel.edu/faculty/esolovey/>*

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