Brief Description
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 everyone’s life more comfortable.
Affect and social behavior 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 “natural” support for humans. These environments should be aware of the needs of people, customizing requirements and forecasting behaviors.
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
- 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 Modeling - 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
Submission and Reviewing
Submitted papers should be prepared according to the Springer LNCS format, with a maximum of 12 pages. Submitted papers will be subject to a double-blind review process, and will be peer-reviewed by at least three members of the respective track Program Committee.
Program Committee
Amal Seghrouchni, Univ. Pierre et Marie Curie, France
Amilcar Cardoso, University of Coimbra, Portugal
Ana Almeida, Polytechnic of Porto, Portugal
Ana Paiva, IST, Portugal
Andrew Ortony, Northwestern University, US
Ângelo Costa, Universidade do Minho, Portugal
Antonio Caballero, University of Castilla-La Mancha, Spain
Antonio Camurri, University of Genova, Italy
Boon Kiat-Quek, National University of Singapore, Singapore
Carlos Bento, University of Coimbra, Portugal
Carlos Ramos, Polytechnic of Porto, Portugal
Carlos Iglesias, Universidad Politécnica de Madrid, Spain
Cesar Analide, University of Minho, Portugal
Dante Tapia, University of Salamanca, Spain
Davide Carneiro, Polytechnic of Porto, Portugal
Davy Preuveneers, K.U.Leuven, Belgium
Diego Gachet, European University of Madrid, Portugal
Eva Hudlicka, Psychometrix Associates Blacksburg,US
Fábio Silva, Universidade do Minho, Portugal
Florentino Fdez-Riverola, University of Vigo, Spain
Gordon Hunter, Kingston University, UK
Goreti Marreiros, Polytechnic of Porto, Portugal
Grzegorz Nalepa, AGH University of Science and Technology. Poland
Hoon Ko, Sungkyunkwan University, Republic of Korean
Ichiro Satoh, National Institute of Informatics, Japan
Javier Bajo, Pontifical University of Salamanca, Spain
Javier Jaen, Polytechnic University of Valencia, Spain
Jean Ilié, LIP6, Univ. Pierre et Marie Curie, France
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
Laurence Devillers, LIMS-CNRS, France
Lino Figueiredo, Polytechnic of Porto, Portugal
Luís Macedo, University of Coimbra, Portugal
Paulo Novais, University of Minho, Portugal
Ricardo Costa, Polytechnic of Porto, Portugal
Ricardo Santos, Polytechnic of Porto, Portugal
Rui José, University of Minho, Portugal
Rui Costa, Ubiwhere, Portugal
Sara González, University of Salamanca, Spain
Shin’Ichi Konomi, University of Tokyo, Japan
Vic Callaghan, Essex University, UK
Vicente Julián, Polytechnic University of Valencia, Spain
Organizing Committee
Paulo Novais, U.Minho, Portugal
Ana Almeida, ISEP, Porto, Portugal
Sara Rodríguez González, University of Salamanca, Spain
Goreti Marreiros, ISEP, Porto, Portugal
The AmIA Environments workshop is is sponsored by: