In support of Cognitive Technology’s broader scope,
we have identified a set of important areas of research and development appropriate
to our new mission. These areas are not meant to represent exhaustive coverage;
rather, they have been specifically identified as areas very relevant to, and in
need of recognition by, researchers in cognitive technology. In particular, note
that, cutting across this expanse of topics below, are the more standard cognitive
processes typically examined in research on cognition, including: perception, attention,
memory, learning, decision making and problem solving. Also important across these
areas are issues associated with cognitive development and how cognitive technology
needs to be grounded in an understanding of how cognition changes across the life-span
- whether it be in the context of children interacting with computer games or learning
systems, adults engaged in complex cognitive work, or older adults utilizing memory
aids or interacting with information technology. As such, we welcome submissions
fitting within any of these broad themes.
Submissions appropriate for the area of Cognitive Systems Engineering
research will consist of a blend of concepts and methods arising from cognitive
and computer science and allied disciplines, with a holistic approach to understanding
human-systems integration (e.g., sociotechnical systems, cognitive work analysis).
This research will address the unfolding of cognition in naturalistic and dynamic
work environments, typically characterized by a multitude of human operators and
automated technologies interacting collaboratively to accomplish their mission.
(e.g., industrial process control, surgical team systems, robotic vehicle operations).
Emphasis should be on improving the quality and efficiency of work systems for the
human operators through analysis of the interactions of the technology, the people,
and the environment of operation, including the organization within which the humans
Submissions appropriate for the area of Cognitive Aids
research will be focused on the design, development, and/or testing of technologies
that either support learning or scaffold everyday cognitive processes. Technologies
to support learning can include computer-based training developed for learning specific
skills (e.g., electronic maintenance), or for acquiring specific knowledge (e.g.,
biology). Activities and programs designed to assist recovery from brain injuries,
or to limit the cognitive decline normally associated with aging, or to improve
the cognitive health and performance of adults and children without cognitive deficits
are encouraged. Technologies that scaffold everyday cognitive processes can range
from memory aids such as personal data assistants to technologies designed to support
dynamic cognitive processing (e.g., working memory or decision making). Also appropriate
are articles addressing the development of technologies designed to engage in real-time
physiological and neurophysiological sensing to asses cognitive states (e.g., EEG,
fNIR), or neural stimulation devices such as neural implants or nootropic drugs
designed to enhance cognitive processing.
appropriate for the area of Cognitive Models and Agent Technologies
research will address the design, development, and validation of quantitative models
of human cognition (e.g., GOMS, ACT-R, SOAR, neural networks, bayesian models, etc.).
This area encompasses models focused on single cognitive processes, those dealing
with the interaction of cognitive processes, as well as broader cognitive architectures
developed for the assessment of performance or predictions of performance. Also
appropriate are submissions describing the instantiation of cognitive models in
software and embodied agents. Such agent technologies can be realized as software
agents interacting within some simulation, or as software agents supporting some
cognitive process of a user. Or, such agents can be embodied robotic agents interacting
with the real world and capable of perceiving and acting within that world at some
level of goal-directed behavior.
Submissions appropriate for the area of Human Factors
research will address the interaction of humans with machines, either as operators,
or users, or as maintainers of technologies, and includes how our understanding
of cognition influences issues associated with design, safety, and training. This
research will consist of a blend of psychology, physiology, and engineering to address
issues of how cognitive processing influences, and is influenced, by human interaction
with technologies such as displays, interfaces, and controls (e.g., perception and
information display, workload and interface design). Also welcome are articles addressing
how individual differences in anthropometrics, knowledge, aptitudes, skills, or
attitudes moderate the design or use of technology.
Submissions appropriate for the area of Modeling and Simulation
research will address the design and development of simulations for the purposes
of learning and training or decision making and problem solving. Articles that address
modeling and simulation issues associated with scalability, interoperability, composability,
and validation are also welcome, particularly as they address how we aggregate multiple
cognitive models across simulations that interoperate with each other and
how we should interpret the output. Also welcome is research and development in
areas of virtual and mixed reality addressing the cognitive issues associated with
human-virtual environment interaction. Topics include not only research on the design
of, or performance in, such environments, but also articles addressing the broader
societal issues associated virtual environments (e.g., health and safety).
Submissions appropriate for the area of Cognitive Rehabilitation
research should be focused on the design, development, and/or
testing of procedures or technologies that support training and retraining of cognitive
deficits in the brain-injured and others with cognitive impairment. Emphasis can
be on methods addressing any cognitive impairment leading to problems with quality
of life such as independence and/or interpersonal issues as well as issues of vocation
and productivity. Topics can range from procedures, tools, or technologies emphasizing
cognitive retraining of specific deficits to broader and more holistic methods that
are designed to help the brain-injured manage the cognitive, social, and emotional
components of their injury.