Ambient Intelligence (AmI) is a paradigm emerging from Artificial Intelligence (AI), where computers are used as proactive tools assisting people with their day-to-day activities, making everyoneís life more comfortable.

Affect and social behaviour plays an important role in the development of Ambient Intelligent Environments. Consideration of aspects like emotions, mood, personality traits, and attitudes in human-computer, human-robot, and human-environment interaction, especially insofar as they provide better or more ìnaturalî support for humans. These environments should be aware of the needs of people, customizing requirements and forecasting behaviours.

AmI environments may be highly diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, transport facilities, tourist attractions, stores, sport installations, music devices, etc.

In the Thematic track on AmIA Environments we will create a multi-disciplinary discussion forum that will bring together researchers from the different fields addressed discussing issues in Artificial Intelligence topics included in the Ambient Intelligence and affective environments. Researchers are welcome to present both theoretical and practical works as well as the lessons learned with their application in the varied range of domains. Emphasis will be placed on the presentation of concrete systems, discussion of implementation and development challenges and sharing of conclusions achieved and relevant results.

Topics of interest

In order to fulfill these objectives, submissions of substantial, original and previously unpublished work are invited in all areas of Ambient Intelligence and Affective environments. The topics of interest include, but are not limited to:

• Applications
• Ambient Assisted Living
• Ubiquitous Computing
• Artificial Intelligence for AmI
• Intelligent Environments
• Pervasive Computing
• Context Aware Computing
• Agent & Multiagent Systems for AmI
• Mobile Computing
• Sentient Computing
• e-Health
• Context Modelling
• AmI for e-Learning
• On-line Dispute Resolution
• Memory Assistant
• Computational models of emotions
• Group Emotion
• Affect and learning
• Artificial characters
• Affect and emotion recognition

Organizing Committee

Ana Almeida, Polytechnic of Porto, Portugal
Sara Rodriguez, University of Salamanca
Goreti Marreiros, Polytechnic of Porto
Paulo Novais, University of Minho, Portugal
Peter Mikulecky, University of Hradec Kralove

Program Committee 

Amilcar Cardoso, University of Coimbra, Portugal
Ana Paiva, IST, Portugal
Ângelo Costa, University Valencia, Spain
Antonio Caballero, Universidad de Castilla-La Mancha, Spain
Boon Kiat-Quek, National University of Singapore, Singapore
Carlos Iglesias, Universidad Politécnica de Madrid, Spain
Carlos Ramos, Polytechnic of Porto, Portugal
César Analide, University of Minho, Portugal
Dalila Duraes, , Polytechnic of Porto, Portugal
Davide Carneiro, Polytechnic of Porto, Portugal
Davy Preuveneers, K. U. Leuven, Belgium
Fábio Silva, University of Minho, Portugal
Florentino Fdez-Riverola, University of Vigo, Spain
Grzegorz Napela, AGH University of Science and Technology, Poland
Guillaume Lopez, Aoyama Gakuin University, College of Science and Technology, Japan
Hector Alaiz Moreton, University of Leon, Spain
Hoon Ko, Chosun University, South Korea
Ichiro Satoh, National Institute of Informatics Tokyo, Japan
Javier Bajo, Polytechnic University of Madrid, Spain
Javier Jaen, Polytechnic University of Valencia, Spain
Jean Ilié, Univ. Pierre et Marie Curie, France
João Carneiro, Polytechnic Institute of Porto, Portugal
José Machado, University of Minho, Portugal
José Molina, University Carlos III of Madrid, Spain
José Neves, University of Minho, Portugal
Juan Corchado, University of Salamanca, Spain
Lino Figueiredo, Polytechnic of Porto,
Luís Macedo, University of Coimbra, Portugal
Miguel Hornos, University of Granada, Spain
Pablo Chamoso, University of Salamanca, Spain
Ricardo Santos, Polytechnic of Porto, Portugal
Rui José, University of Minho, Portugal
Shin’Ichi Konomi, University of Tokyo, Japan
Tatsuo Nakajima, Waseda University, Japan
Tiago Oliveira, National Institute of Informatics, Japan
Vicente Julián, Polytechnic University of Valencia, Spain