REMINDER DUE DATE jUNE 1, 2004
> ******************************Call for Submissions
> User Modeling and User-Adapted Interaction (UMUAI): The Journal of
Personalization Research (an international journal published by Kluwer)
> Special Issue on
> INTEGRATING COGNITIVE MODELING AND USER MODELING
> BENEFITS AND CHALLENGES
> Submission deadline June 1, 2004
> BRIEF DESCRIPTION
> Cognitive modeling and user modeling seek to develop scientific
principles of human processing. While cognitive models are built to
develop understanding of human cognitive processes that underlie human
performance and behavior, user models are based on observations of human
performance and behavior to inform system responses to users.
> Cognitive models (CMs) attend to issues of perception, how inputs are
processed and understood, how outputs or responses are produced, develop
theories of cognitive process related to brain components that have been
shown to be active during tasks that require cognitive processing, and
make predictions about human performance. The models can be rule-based,
neural net or genetic algorithm based, based on machine learning
approaches, or be built of hybrid components. CMs have been built for
many cognitive tasks (for example, learning, decision making, problem
solving, and information use) and several models exist as general models
of the human cognitive processor (for example, ACT-R, EPIC, SOAR).
> Recent advances in cognitive modeling have shown their potential role
in systems design where they can be used predictively to analyze the
impact of a design decision on a user> '> s performance. Design can use
evidence-based cognitive models to inform the requirements and
specification of a system.
> User models (UMs) build a representation of users based on human
performance and behavior analyses. UMs are used to inform appropriate
system behavior that is dynamic and can adapt to the user over time.
UMs are built on captured information during system use or in Wizard of
Oz situations and provide dynamic interaction capabilities that adapt to
a user> '> s intentions, knowledge, preferences in interacting, etc.
They include multimodal and multimode input and output processes that
reflect an understanding of the user> '> s situation based on
collections of user actions. UMs have been applied in many domains such
as education, tutoring, training, decision-making, and use of
> CMs and UMs both use knowledge about human processes but from
different perspectives and with different purposes. These perspectives
and purposes overlap and suggest that investigating how each modeling
approach can inform the other will benefit both. Developing shared
understanding between these communities will enable broader scientific
application resulting in more effective systems.
> Example topics include but are not limited to:
> Integrated cognitive and user models and their evaluation to show how
the two approaches may be joined.
> Applying cognitive modeling to user modeling problems.
> Applying user modeling to cognitive modeling problems.
> Analyzing issues that drive the integration of CMs and UMs such as
underlying assumptions and properties of them. What is the overlap? Are
there inconsistencies? Are there fuzzy assumptions in one approach that
can be clarified using knowledge from the other?>
> Applications that demonstrate effective integration of CMs and UMs,
including evidence of their effectiveness within domains with shared
interest such as in learning or training systems, WEB usage, data and
> If you are unsure whether a possible submission falls into the scope
of the Special issue, feel free to ask the guest editor for advice.
> Guest Editor
> Helen M. Gigley, Ph.D.
> Office of Naval Research (http://www.onr.navy.mil)
> Cognitive, Neural, and Social S & T Division
> 800 N. Quincy Street (CODE342)
> Arlington, VA 22217-5660
> [log in to unmask]
> Time Line
> 1 June 2004: Submission of manuscripts
> September 2004: Receipt of reviews
> Late fall 2004: Submission of revised manuscripts
> First half of 2005: Appearance of the special issue
> About the UMUAI Journal
> "User Modeling and User-Adapted Interaction: The Journal of
> Research" (http://umuai.informatik.uni-essen.de/) is the primary
> substantial research contributions concerning systems that model and
adapt to their users.
> UMUAI is an archival journal that publishes mature and substantiated
research results on the (dynamic) adaptation of computer systems to
their human users, and the role that a model of the system about the
user plays in this context. (Contributions to special issues may go
beyond that scope if they fit neatly into the topic of the special
issue.) This special issue assumes that papers will be submitted from a
multidisciplinary audience such as from the fields of psychology, arts
and the instructional sciences. Depending on the nature of the research,
substantiation of research ideas can be carried out, e.g., by an
implementation of the ideas in a computer system and a discussion of the
results, by empirical studies of or experiments with real users or test
data, by a formal analysis of computational or logical properties of a
proposed system, etc.
> Many articles in UMUAI are quite comprehensive and describe the
results of several years of work. Consequently, UMUAI gives "unlimited"
space to authors (as long as what they write makes a significant
contribution to the field) and also does not mind if research that is
being submitted to UMUAI has been previously published in bits and
pieces at workshops and conferences (but not journals), as long as the
synopsis provides significant new insights.
> REQUIREMENTS FOR SUBMISSIONS TO THE SPECIAL ISSUE
> Once you have decided that you will probably submit a manuscript,
please send a tentative title and abstract to the guest editor
([log in to unmask]). This information will help us to set up a
well-qualified team of reviewers for the
> Special issue and to send further relevant information to authors as
> Detailed instructions for the submission of manuscripts can be found
> Journal home page http://umuai.informatik.uni-essen.de/. Electronic
submissions are preferred. Each submission should note that it is
intended for the special issue on Integrating Cognitive Modeling and
> REVIEW PROCESS
> Submissions will undergo the normal review process, and will be
reviewed by three established researchers selected from a panel of
reviewers formed for the special issue. Barring unforeseen problems,
authors can expect to be notified regarding the review results within
three months of submission.
Helen M. Gigley, Ph.D.
Office of Naval Research
800 N. Quincy Street (CODE 342)
Arlington, VA 22217-5660
email: [log in to unmask]