Attention Management

Attention Management in Pervasive Computing

Submission deadline: 1 March 2013
Notification: 26 April 2013
Publication: Jan.–Mar. 2014

Finely-woven, globe-spanning digital networks, together with the
radical miniaturization
and embedding of information, communication, and sensor electronics
into almost
everything, have made human-to-computer bonds truely ubiquitous and
Accordingly, our approach to human-computer interaction is reversing:
while HCI previously
addressed issues related to how humans initiate interaction with ICT
systems, we now
increasingly observe ICT system designs that also approach humans.
Within this “human
computer confluence”, human attention—more than processor speed,
communication bandwidth,
and storage resources—becomes the single most critical (yet least
understood) resource in
pervasive system design today.

While previously considered a mental variable that could not be
quantified and measured,
attention now constitutes a fundamental element of psychological
research. Today, everyone
has an intuitive understanding of what attention is, how it can be
assessed, and how it
impacts perception, memory, expectation, awareness, relevance,
decision-making, and other
behaviours. This special issue focusses on novel approaches to
attention modelling,
attention representation, attention sensing, recognition or estimation,
together with
attention management as a theoretical and practical principle for
designing Pervasive and
Ubiquitous Computing systems.

We welcome multi-disciplinary articles not only from the core Pervasive
and Ubiquitous
Computing community, but also from Behavioural Psychology, Cognitive
Neuroscience and Brain
Research linked to attention management system design principles.
Potential topics include:
– Theories and formal models of attention, theory driven modelling,
evidencing theories
Attention sensing and data-driven attention modelling (including
recognition chains,
mining Big Data)
– Attention estimation from behaviour (gaze, speech, pose, effort,
somatic indicators) and
from mental effort (memorizing, response time)
– Attention recognition (pattern recognition, machine learning) and
architectures (goals, plans, decision making)
– Individual attention (perceptual load, cognitive load, recall
consciousness, overt vs. covert attention, focus and periphery of
attention) and sensors
– Collective attention (information diffusion, novelty propagation,
sharing, consesus
finding) and sensors (social networks, microblogs, tweets, web/phone,
patterns …)
– ICT design based on the economics of attention: design principles,
principles, interface designs, attractors
– Attention management system architectures, tools and development
– Attention management showcases, success stories, and user studies in
application domains
of societal significance—for example, health care systems, intense
care and control
centers, electronic workplaces and electronic trading systems,
construction and engineering, avionic and automotive systems, energy
and environmental
protection systems, safety and security systems, monitoring and
surveillance systems,
crisis observatories, sales and digital signage systems, art
installations, public
advertising, public opinion building, etc.
For more information about the focus, contact the Guest Editors

Alois Ferscha <>, Johannes Kepler Universität
Joe Paradiso <>, MIT Media Laboratory
Roger Whitaker <>, Cardiff University
Submission Information
Submissions should be 4,000 to 6,000 words long and should follow the
guidelines on style and presentation. All submissions will be
peer-reviewed in accordance
with normal practice for scientific publications, and all accepted
articles will be edited
according to Computer Society guidelines. Submissions should be
received by 1 March 2013
to receive full consideration.

For general author guidelines or submission details:

To submit your article go directly to our online peer-review system,
Manuscript Central

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