First International Workshop on


Human Aspects in Ambient Intelligence


Darmstadt, Germany, November 10, 2007


Workshop at the European Conference on Ambient Intelligence (AmI’07)






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.




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

            Jan Treur


9.15     Sensing Modalities for Human Activity Tracking with Wearable Sensors (Invited Talk)

            Paul Lukowicz


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)

            Juan Carlos Augusto


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



Coordination Commitee


Tibor Bosse                            (Vrije Universiteit Amsterdam, Agent Systems Research Group)

Cristiano Castelfranchi           (CNR Rome, Institute of Cognitive Sciences and Technologies)

Mark Neerincx                        (TNO Human Factors; Technical University Delft, Man-Machine Interaction)

Fariba Sadri                            (Imperial College, Department of Computing)

Jan Treur                                (contact person, Vrije Universiteit Amsterdam, Agent Systems Research Group)



Programme Committee


Gerhard Andersson                 (Linköping University, Department of Behavioural Sciences)

Juan Carlos Augusto               (University of Ulster, School of Computing and Mathematics)

Tibor Bosse                            (Vrije Universiteit Amsterdam, Agent Systems Research Group)

Antonio Camurri                     (University of Genoa, InfoMus Lab)

Nick Cassimatis                      (Rensselaer Polytechnic Institute, Cognitive Science Department)

Cristiano Castelfranchi           (CNR Rome, Institute of Cognitive Sciences and Technologies)

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; Antwerp University, Faculty of Law)

Rino Falcone                          (CNR Rome, Institute of Cognitive Sciences and Technologies)

Dirk Heylen                            (University of Twente, Human Media Interaction)

Ingrid Heynderickx                 (Philips Research Netherlands)

Anthony Jameson                   (DFKI, Human-Computer Interaction)

Paul Lukowicz                        (Austrian University for Health Sciences, Medical Informatics and Technology)

Isaac Marks                            (King’s College London, Institute of Psychiatry/Maudsley Hospital)

Silvia Miksch                          (Danube University Krems, Department of Information and Knowledge Engineering) 

Scott Moss                              (Manchester Metropolitan University, Centre for Policy Modelling)

Mark Neerincx                        (TNO Human Factors; Technical University Delft, Man-Machine Interaction)

Fariba Sadri                            (Imperial College, Department of Computing)

Matthias Scheutz                     (University of Notre Dame, Artificial Intelligence and Robotics Laboratory)

Elizabeth Sklar                        (City University of New York, Brooklyn College, Dept of Computer and Information Science)

Ron Sun                                  (Rensselaer Polytechnic Institute, Cognitive Science Department)

Jan Treur                                (Vrije Universiteit Amsterdam, Agent Systems Research Group)

Robert L. West                        (Carleton University, Department of Cognitive Science)