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Michael Adrir Scott <[log in to unmask]>
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Michael Adrir Scott <[log in to unmask]>
Mon, 17 Jun 2013 17:29:06 +0100
text/plain (93 lines)
*** Apologies for Cross-Posting ***

CFP: Special Issue of Interacting with Computers on
Sensor/Recognition-based Learning in Contextual Surroundings

Paper Submission Deadline:            September 1st, 2013
Notification of Acceptance:              October 15th, 2013
Paper Revision Deadline:                 December 14th, 2013
Notification of Final Acceptance:      February 26th, 2014
Final Submission:                           March 16th, 2014

Aims and Scope:

Recent advances in sensors and recognition technology give a great
potential for creating brand new environments for interaction and
learning. These could offer users flexible and tangible ways to
interact with or learn from meaningful information in authentic
environments. Therefore the sensors and recognition technologies can
facilitate users to have authentic interaction with surroundings and
explore problems by using useful information from digital space. It
will potentially integrate the physical and digital worlds into a
joyful and highly interactive learning environment. Many researchers
have been devoting to design applications or systems with multimedia,
sensors and intelligent recognition to enhance learning and
interaction in the authentic context from various aspects of
pedagogical principles, activity designs and technological issues,
etc. Technologically, context recognition applications employ advanced
cloud computing and multimedia recognition technology while
intelligent sensors devices utilize embedded chips and sensors
together with ubiquitous technologies. Pedagogically, the key point to
making sensors/recognition applications for learning/interaction
successful is due to active participation and social interaction with
others and sharing their experiences together for facilitating
individual/team work. The main challenge is how to sustain users’
motivation and how to engage them in meaningful interaction and
effective learning.  Therefore, sensors and recognition based
applications may offer a new angle for exploring all these design
issues in education and interaction.

To this end, this Special Issue invites papers targeting, but not
limited to, the following topics:

-  Contextual-based learning
-  Multimodal interaction for mobile learning
-  Sensor-based tailoring for mobile learning
-  Designing for context-aware and sensor-based learning
-  Field studies of sensor & recognition-based mobile learning
-  Algorithms & strategies for sensor & recognition-based learning
-  Use of sensor & recognition-based technologies in games-based mobile learning
-  Virtual and augmented reality for mobile learning
-  Learning models for sensor & recognition-based mobile learning
-  Kinematic recognition or measurement for interaction or learning
-  Kinesthetic sensor-based interaction or learning
-  Collaboration with kinematic recognition or kinesthetic sensors
-  Near field communication for interaction or learning in contextual
-  Interactive or learning environments with near field communication


Papers submitted to this special issue need to follow the guidelines
of Interacting with Computers at All paper
submissions will have to be submitted through the Manuscript Central.
Each paper submitted will be reviewed by a committee including experts
in the related areas.

Once a paper is submitted please email George Ghinea
([log in to unmask]) and Wu-Yuin Hwang ([log in to unmask])
with the manuscript reference number as assigned by the IwC Manuscript

Guest Editors:

Gheorghita Ghinea, Brunel University, UK
Wu-Yuin Hwang, National Central University, Taiwan
Jiangang Cheng, Tsinghua University, Chinea
Cristina Hava Muntean, National College of Ireland, Ireland

For additional information, please contact Wu-Yuin Hwang
([log in to unmask]) and Gheorghita Ghinea
([log in to unmask]).

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