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<br>
<br>
[Apologies for multiple copies]
<br>
<br>
SIXTH INTERNATIONAL WORKSHOP ON HUMAN ASPECTS IN AMBIENT
INTELLIGENCE:
<br>
<br>
Agent Technology, Human-Oriented Knowledge and Applications
<br>
<br>
(HAI'12)
<br>
<br>
URL: <a class="moz-txt-link-freetext"
href="http://www.few.vu.nl/%7Etbosse/HAI12/">http://www.few.vu.nl/~tbosse/HAI12/</a>
<br>
<br>
<br>
Pisa, Italy, November 13, 2012
<br>
<br>
Workshop at the International Joint Conference on Ambient
Intelligence
<br>
<br>
(AmI'12)
<br>
<br>
<br>
Call for Papers
<br>
<br>
<br>
Background
<br>
**********
<br>
<br>
Recent developments within Ambient Intelligence provide new
possibilities
<br>
to contribute to personal care. For example, our car may monitor
us and
<br>
warn us when we are falling asleep while driving or take measures
when
<br>
we are too drunk to drive. As another example, an elderly person
may wear
<br>
a device that monitors his or her wellbeing and offers support
when a
<br>
dangerous situation is noticed.
<br>
<br>
Such applications can be based on the one hand on possibilities to
acquire
<br>
sensor information about humans and their functioning. However,
their full
<br>
realisation depends crucially on the availability of adequate
knowledge for
<br>
analysis of such information about human functioning. If such
knowledge
<br>
about human functioning is computationally available within
devices in the
<br>
environment, these systems can show more human-like understanding
and
<br>
contribute to personal care based on this understanding.
<br>
<br>
In recent years, scientific areas focusing on human functioning
such as
<br>
cognitive science, psychology, social sciences, neuroscience and
<br>
biomedical sciences have made substantial progress in providing an
<br>
increased insight in the various physical and mental aspects of
human
<br>
functioning. Although much work still remains to be done, models
have been
<br>
developed for a variety of such aspects and the way in which
humans
<br>
(try to) manage or regulate them. From a more biomedical angle,
examples
<br>
of such aspects are (management of) heart functioning, diabetes,
eating
<br>
regulation disorders, and HIV-infection. From a more psychological
and
<br>
social angle, examples are emotion regulation, emotion contagion,
<br>
attention regulation, addiction management, trust management, and
stress
<br>
management.
<br>
<br>
If models of human processes and their management are represented
in a
<br>
formal and computational format, and incorporated in the human
environment
<br>
in systems that monitor the physical and mental state of the
human, then
<br>
such ambient systems are able to perform a more in-depth analysis
of the
<br>
human's functioning. An ambience is created that has a human-like
<br>
understanding of humans, based on computationally formalised
<br>
knowledge from the human-directed disciplines, and that may be
more
<br>
effective in assisting humans by offering support in a
knowledgeable
<br>
manner that may improve their wellbeing and/or performance,
without
<br>
reducing them in their freedom.
<br>
<br>
This may concern elderly people, medical patients, but also humans
in
<br>
highly demanding circumstances or tasks. For example, the
workspaces of
<br>
naval officers may include systems that, among others, track their
eye
<br>
movements and characteristics of incoming stimuli (e.g., airplanes
on a
<br>
radar screen), and use this information in a computational model
that is
<br>
able to estimate where their attention is focussed at. When it
turns out
<br>
that an officer neglects parts of a radar screen, such a system
can either
<br>
indicate this to the person, or arrange on the background that
another
<br>
person or computer system takes care of this neglected part.
Similarly,
<br>
such intelligent assistants may play a role in providing support
to groups
<br>
of people, e.g., to help coordinate the evacuation of large crowds
in case
<br>
of an emergency, or to optimise the performance of teams in sports
<br>
or in organisations.
<br>
<br>
<br>
Aims
<br>
****
<br>
<br>
This workshop series addresses multidisciplinary aspects of
Ambient
<br>
Intelligence and Computer Science with human-directed disciplines
such as
<br>
psychology, social science, neuroscience and biomedical sciences.
The
<br>
first workshop in the series (HAI'07) took place at the European
<br>
Conference on Ambient Intelligence (AmI'07), in Darmstadt,
Germany,
<br>
November 2007. The second workshop in the series (HAI'08) took
place at
<br>
the International Conference on Intelligent Agent Technology
(IAT'08), in
<br>
Sydney, Australia, December 2008. The third workshop (HAI'09) took
<br>
place at the International Conference on Intelligent Agent
Technology (IAT'09),
<br>
in Milan, Italy, September 2009. The fourth workshop (HAI'10) took
place
<br>
at the International Conference on Intelligent Agent Technology
(IAT'10), in
<br>
Toronto, Canada, August 2010. The fifth workshop in the series
(HAI'11)
<br>
took place at the International Conference on Intelligent Agent
Technology
<br>
(IAT'11), in Lyon, France, August 2011. The aim of the workshops
is to
<br>
get researchers together from these human-directed disciplines or
working
<br>
on cross connections of Ambient Intelligence with these
disciplines.
<br>
The focus is on the use of knowledge from these disciplines in
Ambient
<br>
Intelligence applications, in order to take care of and support in
a
<br>
knowledgeable manner humans in their daily living in medical,
psychological
<br>
and social respects.
<br>
<br>
The workshop can play an important role, for example, to get
modellers in
<br>
the psychological, neurological, social or biomedical disciplines
<br>
interested in Ambient Intelligence as a high-potential application
area for
<br>
their models, and, for example, get inspiration for problem areas
to be
<br>
addressed for further developments in their disciplines. From the
other side,
<br>
the workshop may make researchers in Computer Science and Ambient
<br>
and Artificial Intelligence more aware of the possibilities to
incorporate
<br>
more substantial knowledge from the psychological, neurological,
social
<br>
and biomedical disciplines in ambient intelligence architectures
and applications.
<br>
As part of the interaction, specifications may be generated for
experiments
<br>
to be addressed by the human-directed sciences.
<br>
<br>
<br>
Some of the areas of interest
<br>
*****************************
<br>
<br>
* human-aware computing
<br>
<br>
* computational modelling of cognitive, neurological, social and
<br>
biomedical processes for Ambient Intelligence
<br>
<br>
* modelling emotion and mood and their regulation
<br>
<br>
* modelling contagion of mental states (e.g., beliefs, intentions
or
<br>
emotions)
<br>
<br>
* social awareness modelling
<br>
<br>
* collecting and analysing histories of behaviour
<br>
<br>
* computational modelling of mindreading, theory of mind
<br>
<br>
* building profiles; user modelling in Ambient Intelligence
<br>
<br>
* sensoring; e.g., tracking physiological states, gaze, body
movements,
<br>
gestures
<br>
<br>
* sensor information integration methods
<br>
<br>
* analysis of sensor information; e.g., voice and skin analysis
with
<br>
respect to emotional states, gesture analysis, heart rate analysis
<br>
<br>
* environmental modelling
<br>
<br>
* situational awareness
<br>
<br>
* model-based reasoning and analysis techniques for Ambient
Intelligence
<br>
<br>
* responsive and adaptive systems; machine learning
<br>
<br>
* cognitive agent models
<br>
<br>
* reflective ambient agent architectures
<br>
<br>
* multi-agent system architectures for Ambient Intelligence
applications
<br>
<br>
* human interaction with devices
<br>
<br>
* wearable devices for ambient health and wellness monitoring
<br>
<br>
* brain-computer interfacing
<br>
<br>
* analysis and design of applications to care for humans in need
of
<br>
support for physical and mental health; e.g., elderly or
psychiatric care,
<br>
surveillance, penitentiary care, humans in need of regular medical
or
<br>
psychological care, support for psychotherapeutical/self-help
communities
<br>
<br>
* analysis and design of applications to support humans in
demanding
<br>
circumstances and tasks, such as warfare officers, air traffic
<br>
controllers, crisis and disaster managers, humans in space
missions
<br>
<br>
* evaluation studies
<br>
<br>
* handling aspects of privacy and security
<br>
<br>
* philosophical, ethical, and political aspects of Ambient
Intelligence
<br>
<br>
<br>
Submission and Proceedings
<br>
**************************
<br>
<br>
Submissions should follow the <a
href="http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0">Springer
LNCS</a> guidelines for proceedings,<br>
and should not exceed 16 pages. Submissions should be sent in pdf
format,<br>
via an e-mail to <a href="mailto:tbosse@cs.vu.nl">Tibor Bosse</a>.
Accepted papers will appear in the workshop<br>
proceedings, as well as in an edited volume of the<br>
<a
href="http://www.atlantis-press.com/publications/books/ampi.html">Ambient
and Pervasive Intelligence</a> book series, published by
Atlantis Press<br>
and available via Springerlink.<br>
<br>
Registration
<br>
************
<br>
<br>
For every accepted paper at least one author has to pay the
special
<br>
AmI 2012 workshop registration fee.
<br>
<br>
<br>
Important Dates
<br>
***************
<br>
<br>
Submission deadline June 15, 2012
<br>
<br>
Notification August 6, 2012
<br>
<br>
Camera ready papers August 27, 2012
<br>
<br>
Workshop November 13, 2012
<br>
<br>
<br>
Coordination Commitee
<br>
*********************
<br>
<br>
Juan Carlos Augusto (University of Ulster, School of Computing and
<br>
Mathematics)
<br>
<br>
Tibor Bosse (contact person, Vrije Universiteit Amsterdam, Agent
Systems
<br>
Research Group)
<br>
<br>
Cristiano Castelfranchi (CNR Rome, Institute of Cognitive Sciences
and
<br>
Technologies)
<br>
<br>
Diane Cook (Washington State University, USA)
<br>
<br>
Mark Neerincx (TNO Human Factors; Technical University Delft,
<br>
Man-Machine Interaction)
<br>
<br>
Fariba Sadri (Imperial College, Department of Computing)
<br>
<br>
<br>
Programme Committee
<br>
*******************
<br>
<br>
Juan Carlos Augusto (University of Ulster, School of Computing and
<br>
Mathematics)
<br>
<br>
Marc Böhlen (State University of New York, USA)
<br>
<br>
Tibor Bosse (Vrije Universiteit Amsterdam, Agent Systems Research
Group)
<br>
<br>
Antonio Camurri (University of Genoa, InfoMus Lab)
<br>
<br>
Cristiano Castelfranchi (CNR Rome, Institute of Cognitive Sciences
and
<br>
Technologies)
<br>
<br>
Diane Cook (Washington State University, USA)
<br>
<br>
Hao-Hua Chu (National Taiwan University, Ubicomp Lab, Taiwan)
<br>
<br>
Rino Falcone (CNR Rome, Institute of Cognitive Sciences and
Technologies)
<br>
<br>
Aart van Halteren (Philips Research, Consumer Electronics, The
Netherlands)
<br>
<br>
Dirk Heylen (University of Twente, Human Media Interaction)
<br>
<br>
Judy Kay (University of Sydney, Computer Human Adaptive
Interaction,
<br>
Australia)
<br>
<br>
Peter Leijdekkers (University of Technology Sydney, Mobile
Ubiquitous
<br>
Services & Technologies Group, Australia)
<br>
<br>
Paul Lukowicz (Austrian University for Health Sciences, Medical
<br>
Informatics and Technology)
<br>
<br>
Silvia Miksch (Danube University Krems, Department of Information
and
<br>
Knowledge Engineering)
<br>
<br>
Neelam Naikar (Defence Science and Technology Organisation, Centre
for
<br>
Cognitive Work and Safety Analysis, Australia)
<br>
<br>
Tatsuo Nakajima (Waseda University, Distributed and Ubiquitous
Computing
<br>
Lab, Japan)
<br>
<br>
Mark Neerincx (TNO Human Factors; Technical University Delft,
Man-Machine
<br>
Interaction)
<br>
<br>
Toyoaki Nishida (Kyoto University, Department of Intelligence
Science and
<br>
Technology, Japan)
<br>
<br>
Steffen Pauws (Philips Research Europe, Media Interaction
Department,
<br>
Netherlands)
<br>
<br>
Christian Peter (Graz University of Technology, Graz, Austria;
<br>
Fraunhofer IGD, Rostock, Germany)
<br>
<br>
Nitendra Rajput (IBM Research, Telecom Research Innovation Center,
India)
<br>
<br>
Tomasz M. Rutkowski (RIKEN Brain Science Institute, Laboratory for
<br>
Advanced Brain Signal Processing, Japan)
<br>
<br>
Fariba Sadri (Imperial College, Department of Computing)
<br>
<br>
Maarten Sierhuis (NASA Ames Research Center, Human-Centered
Computing,
<br>
USA)
<br>
<br>
Elizabeth Sklar (City University of New York, Brooklyn College,
Dept of
<br>
Computer and Information Science)
<br>
<br>
Ron Sun (Rensselaer Polytechnic Institute, Cognitive Science
Department)
<br>
<br>
Bruce H. Thomas (University of South Australia Mawson Lakes,
Wearable
<br>
Computer Lab, Australia)
<br>
<br>
Jan Treur (Vrije Universiteit Amsterdam, Agent Systems Research
Group)
<br>
<br>
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