this is a call for papers for a special issue on the Evaluation of
Reality Based Interaction in the International Journal of Human-Computer
Studies. The CfP follows:
Reality Based Interaction (RBI) is an umbrella term that was proposed to
include new interaction styles, such as virtual reality, augmented
reality, ubiquitous, pervasive and handheld interaction, tangible user
interfaces, lightweight, tacit, or passive interaction, perceptual
interfaces, affective computing, context-aware interfaces, and speech
and multi-modal interfaces. RBI proposes that the new interaction styles
share underlying interaction principles that leverage and take advantage
of human knowledge, based on interactions with the outside world. It is
a framework that identifies the common principles, and a first step
towards making comparisons between the new methods of interaction. But
it does not suggest that all the interactions between the user and the
computer must be similar to interactions with the real world. This would
be very limiting on what one could do, especially when through the use
of a computer, a user may perform actions that would never be possible
in a real world setting, such as flying, or having X-ray vision. Thus,
the real world is only used for grounding the interactions that occur on
familiar concepts, but wherever possible the action used in the real
world is also used in the interface. Because we could claim that the
mouse and keyboard are today as much a part of the real world as
anything else, RBI limits the use of "real world" to aspects of the
physical, non-digital world: "In particular, the framework focuses
specifically on four themes from the real world: Naïve Physics: people
have common sense knowledge about the physical world. Body Awareness &
Skills: people have an awareness of their own physical bodies and
possess skills for controlling and coordinating their bodies.
Environment Awareness & Skills: people have a sense of their
surroundings and possess skills for negotiating, manipulating, and
navigating within their environment. Social Awareness & Skills: people
are generally aware of others in their environment and have skills for
interacting with them." (Jacob et al., 2008)
For example, tangible computing is intuitive by conforming to common
sense knowledge about the physical world; in virtual reality (VR)
environments, interaction can be natural when it is designed to meet
expectations, for interaction with technology and virtual agents; and
for augmented reality, interactions with the environment may be designed
to overcome ordinarily difficult manual or cognitive tasks, to make
reality more intuitive. Also, interactions that would never occur in
the real world, such as giving the user the ability to fly in a VR
environment, can be based on a familiar concept, such as that of
superman, holding one hand clenched in a fist raised upwards and leaning
to the front a bit, to simulate the action of flying.
The evaluation of interfaces built using RBIs creates a unique set of
problems that are rarely examined in mainstream usability research, such
as the evaluation of continuous actions other than pointing, parallel
actions, and the completion-time evaluation of body movements, again,
other than pointing. Whilst RBI seeks to categorize and explain why and
how these new interaction styles are similar, there has not been an
effort to establish evaluation methods that will provide comparative
metrics, design and evaluation principles, for and across interaction
styles. In fact, researchers create their own evaluation methods and
metrics when they create a new interactive system to evaluate its
interactive performance, because of this lack of agreed evaluation
methods for these new interaction styles. However, this leads to several
questions about the reliability, reproducibility and validity of the
obtained results for a particular interaction, and no means to compare
interaction across styles. Also, researchers have only sought to
establish design and evaluation principles for a particular interaction
style, leaving the challenging design decision regarding what is the
most appropriate interaction style for a particular interaction. Again,
this is because researchers, who work only in one interaction style, do
not come to contact with solutions that come from work in other
interaction styles.
The special issue seeks submissions that include, but are not be limited to:
• Evaluation methods that have been created and designed specifically
for RBIs.
• Case studies of successful and unsuccessful evaluations of RBIs,
how those were performed, and why they were successful (or why they failed).
• Discussions of frameworks that enable the evaluation of RBIs,
through objective and subjective measures
• Descriptions and evaluations of tools that support decisions
regarding which interaction style would be appropriate for a specific
task, environment and goal.
Articles must be based on original research, and to the standards of the
International Journal of Human Computer Studies (IJHCS). Complete
articles must be submitted by the deadline of 15th of January. Papers
will be subject to the full review process of the IJHCS.
Instructions for Authors
Submissions must be limited to 18 pages in length, and must be submitted
online. Illustrations should be provided in separate files in either
.jpg or .gif format, and APA style references (not ACM or IEEE style).
The guide for authors and online submission can be found at:
http://www.elsevier.com/wps/find/journaldescription.cws_home/622846/authorinstructions
Potential authors should contact Georgios Christou
(g.christou@euc.ac.cy), Effie Law (elaw@mcs.le.ac.uk), Kasper Hornbaek
(kash@diku.dk), or William Green (williamgreen@acm.org) with any
questions about the special issue.
For information about the International Journal of Human Computer
Studies see
http://www.sciencedirect.com/science/journal/10715819
References
Jacob, R. J. K., Girouard, A., Hirshfield, L. M., Horn, M. S., Shaer,
O., Solovey, E. T., et al. (2008). Reality-Based Interaction: A
Framework for Post-WIMP Interfaces. Paper presented at the CHI 08
Conference on Human Factors in Computing Systems, Florence, Italy.
Regards,
Georgios Christou, Ph.D.
Department of Computer Science & Engineering
School of Sciences
European University Cyprus
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