The environment in which humans operate has an
important influence on their wellbeing and performance. For example, a
comfortable workspace may improve the productivity of an employee, and an
attentive partner or acquaintance may contribute to preventing more severe
health problems by early detection. As another example, our car may warn us
when we are falling asleep while driving or when we are too drunk to drive.
Developments within Ambient Intelligence provide possibilities to contribute to
such personal care. This can be based on the one hand on possibilities to
acquire sensor information about humans and their functioning, but on the other
hand, more far-reaching applications crucially depend on the availability of
adequate knowledge for analysis of such information about human functioning. If
such knowledge about human functioning is computationally available in devices
in the environment, these devices can show more human-like understanding and
contribute to such personal care based on this understanding.
In recent years, scientific areas focusing on humans such as cognitive
science, psychology, neuroscience and biomedical sciences have made substantial
progress in providing an increased insight in the various physical and mental
aspects of human functioning. Although much work still remains to be done,
models have been developed for a variety of such aspects and the way in which
humans (try to) manage or regulate them. From a more biomedical angle, examples
of such aspects are (management of) heart functioning, diabetes, eating
regulation disorders, and HIV-infection. From a more psychological and social
angle, examples are emotion regulation, attention regulation, addiction
management, trust management, stress management, and criminal behaviour management.
If such models of human processes and their management are represented
in a formal and computational format, and incorporated in the human environment
in devices that monitor the physical and mental state of the human, then such
devices are able to perform a more in depth analysis of the human’s
functioning. This can result in an environment that has a human-like
understanding of humans and that may more efffectively affect the state of
humans by undertaking in a knowledgeable manner actions that improve their
wellbeing and performance. For example, the workspaces of naval officers may
include systems that, among others, track their eye movements and
characteristics of incoming stimuli (e.g., airplanes on a radar screen), and
use this information in a computational model that is able to estimate where
their attention is focussed at. When it turns out that an officer neglects
parts of a radar screen, such a system can either indicate this to the person,
or arrange on the background that another person or computer system takes care
of this neglected part. In applications like this,
an ambience is created that has a more human-like understanding of humans,
based on computationally formalised knowledge from the human-directed
disciplines. For example, this may concern elderly people, criminals and
psychiatric patients, but also, as the example shows, humans in highly
demanding circumstances or tasks.
Aims
This workshop addresses multidisciplinary aspects of Ambient
Intelligence with human-directed disciplines such as psychology, social
science, neuroscience and biomedical sciences. The aim is to get people
together from these disciplines or working on cross connections of Ambient
Intelligence with these disciplines. The focus is on the use of knowledge from
these disciplines in Ambient Intelligence applications, in order to take care
of and support in a knowledgeable manner humans in their daily living in
medical, psychological and social respects. The workshop can play an important
role, for example, to get modellers in the psychological, neurological, social
or biomedical disciplines interested in Ambient Intelligence as a
high-potential application area for their models, and, for example, get
inspiration for problem areas to be addressed for further developments in their
disciplines. From the other side, the workshop may make researchers in Computer
Science, and Artificial and Ambient Intelligence more aware of the
possibilities to incorporate more substantial knowledge from the psychological,
neurological social and biomedical disciplines in Ambient Intelligence
architectures and applications, and may offer problem specifications that can
be addressed by the human-directed sciences.
Some of the areas of interest
·
computational modelling of psychological,
neurological, social and biomedical processes for Ambient Intelligence
·
collecting and analysing
histories of behaviour
·
computational modelling of
mind reading, Theory of Mind
·
building profiles; user
modelling in Ambient Intelligence
·
sensoring; e.g., tracking
physiological states, gaze, body movements, gestures
·
analysis of
sensor information; e.g., voice and skin analysis with
respect to emotional states, gesture analysis, heart rate analysis
·
environmental modelling and
awareness
·
analysis of applications to
care of humans in need of support for physical and mental health; e.g., elderly or
psychiactric care, surveillance, penitentiary care,
humans in need of regular medical or psychological care, support for
psychotherapeutical/selfhelp communities
·
analysis
of applications to support humans in demanding circumstances and tasks, such as
warfare officers, air traffic controllers, crisis and disaster managers, humans
in space missions.
·
responsive and adaptive
systems; agent system approaches
·
human interaction with
devices
·
handling aspects of privacy
and security; philosophical and ethical aspects
Preproceedings as available at the workshop can be downloaded here.
Postproceedings are being published as a book by Springer Verlag, together with some other AmI’07 workshops (in press).
Location: Piloty Building
Registration from 8.00
9.00
Human
Aspects in Ambient Intelligence: Introduction
9.15 Sensing Modalities for
Human Activity Tracking with Wearable Sensors (Invited Talk)
9.55 Interaction
Based on Monitoring Brain and Gaze
(Paper session 1: 2 x 25 minutes)
10.45 Coffee/tea break
11.00 Requirements
and Satisfaction
(paper session 2: 2 x 25 minutes)
11.50 Ambient
Intelligence: the Assumptions and the Challenges (Invited Talk)
12.30 Lunch break in Mensa
13.30 Natural
Interaction and Understanding
(paper session 3: 3 x 25 minutes)
14.45 Final
discussion; further perspectives
15.15 Closing
of the workshop
Paper sessions
Paper session 1 Interaction Based on Monitoring Brain and
Gaze
|
IDIAP BCI Research Meets Ambient Intelligence: Designing Intelligent
Interaction |
Gangadhar Garipelli, Ferran Galán, Ricardo Chavarriaga,
Pierre W. Ferrez, Eileen Lew, José del R. Millán |
|
Design and Validation of HABTA: Human Attention-Based Task Allocator |
Peter-Paul
van Maanen, Lisette de Koning, Kees van Dongen |
Paper session 2 Requirements and Satisfaction
|
Affective Human Factors Design with Ambient Intelligence |
Jianxin
(Roger) Jiao, Qianli Xu, Jun Du |
|
Smart Home Technology for the Elderly:
Perceptions of Multidisciplinary Stakeholders |
Anne-mie
Sponselee, Ben Schouten, Don Bouwhuis, Charles Willems |
Paper session 3 Natural Interaction and Understanding
|
Enhancing Human Understanding through Intelligent Explanations |
Tina
Mioch, Maaike Harbers, Willem A. van Doesburg, Karel van den Bosch |
|
Towards Natural Interaction by Enabling Technologies: A Near Field
Communication Approach |
José Bravo Rodriguez, Ramón Hervás, Salvador W. Nava, Gabriel Chavira,
Carlos Sánchez |
|
Model-Based Reasoning Methods within an Ambient Intelligent Agent
Model |
Tibor
Bosse, Fiemke Both, Charlotte Gerritsen, Mark Hoogendoorn, Jan Treur |
Tibor Bosse (Vrije
Universiteit Amsterdam, Agent Systems Research Group)
Cristiano
Castelfranchi (CNR
Mark Neerincx (TNO Human Factors;
Fariba Sadri (
Jan Treur (contact person, Vrije Universiteit
Amsterdam, Agent Systems Research Group)
Programme Committee
Gerhard Andersson (
Juan Carlos Augusto (
Tibor Bosse (Vrije
Universiteit Amsterdam, Agent Systems Research Group)
Antonio Camurri (
Nick Cassimatis (Rensselaer
Polytechnic Institute, Cognitive Science Department)
Cristiano Castelfranchi (CNR
James L. Crowley (INRIA
Rhone-Alpes, Perception and Integration for Smart Spaces Group)
Pim Cuijpers (Vrije Universiteit
Amsterdam, Clinical Psychology)
Henk Elffers (Institute for
Criminology and Law;
Rino Falcone (CNR
Dirk Heylen (
Ingrid Heynderickx (Philips
Research
Anthony Jameson (DFKI,
Human-Computer Interaction)
Paul Lukowicz (
Isaac Marks (King’s
College London, Institute of Psychiatry/Maudsley Hospital)
Silvia Miksch (
Scott Moss (
Mark Neerincx (TNO
Human Factors;
Fariba Sadri (
Matthias Scheutz (
Elizabeth Sklar (
Ron Sun (Rensselaer
Polytechnic Institute, Cognitive Science Department)
Jan Treur (Vrije
Universiteit Amsterdam, Agent Systems Research Group)
Robert L. West (