TCIHI 2014 - Special Issue on New Trend of Computational Intelligence in Human-Robot Interaction

Guest Editors
Chee Seng Chan
University of Malaya, Malaysia
cs.chan-AT-um.edu.my
Honghai Liu
University of Portsmouth, U.K.
honghai.liu-AT-port.ac.uk
Naoyuki Kubota
Tokyo Metropolitan University, Japan
kubota-AT-tmu.ac.jp
Motivation
Human Robot Interaction (HRI) is a research area that studies the interactions between robots and humans. For years robots have operated around humans within industrial and scientific settings, and their presence within the home and general society today becomes ever more common. The area is investigated for many reasons, such as to develop new techniques for knowledge transfer from human to robot, to design effective tools for human control of a robot, and in anticipation of the growing presence of robots within general society, to name a few. Moreover, the area is
investigated from a variety of viewpoints, ranging from those which are humancentric, for example human-friendly interfaces for robot control, to those which are robot-centric, for example human guidance in the completion of a robot task.
In the meantime, computational intelligence encompasses techniques and methods that can be used to tackle problems that are not solved well by more traditional mathematical and statistical techniques. The use of artificial neural networks, fuzzy logic, evolutionary computation, and other related disciplines in artificial intelligence provide an array of tools and paradigms that encompasses much of what is considered to be computational intelligence. HRI and Computational Intelligence techniques go hand in hand and the ability to get robots to react intelligently to their environment is vital. This proposed special issue aims to bundle a collection of recent advances of
computational intelligence methods in human-robot interaction.
The topics of interests in the special session include, but are not limited to:
Socially intelligent robots
Assistive (health & personal care) robotics
Mixed initiative interaction
Multi-modal interaction
Long term interaction with robots
Awareness and monitoring of humans
Task allocation and coordination
Autonomy and trust
Robot-team learning
HRI software architectures
HRI foundations
Metrics for teamwork
HRI group dynamics
Individual vs. group HRI
Robot intermediaries
Image processing for robot vision
Submission format
The submitted papers must be written in English and describe original research which is not published nor currently under review by other journals or conferences. Author guidelines for preparation of manuscript can be found at http://www.ees.elsevier.com/ins.
For more information, please contact the Editor-in-Chief: W. Pedrycz (pedrycz-AT-ee.ualberta.ca) or managing guest editor: Chee Seng Chan (cs.chan-AT-um.edu.my).
Submission Guideline
All manuscripts and any supplementary material should be submitted through Elsevier Editorial System (EES). The authors must select "New Trend of Computational Intelligence in Human-Robot Interaction" when they reach the
"Article Type" step in the submission process. The EES website is located at: http://www.ees.elsevier.com/ins.
Important Dates
Submission Deadline = 15th June 2013
First Review = 15th Oct 2013
Revisions Due = 22nd Nov 2013
Final Decision = 22nd Jan 2014
Final Manuscript Due = 1st March 2014
Tentative Publication Date = Jun 01 2014