Ambient Intelligence and Affective Environments

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, increasing human experiences.

Affect and social behavior play 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 people needs, 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, or music devices, among others.

In the thematic track on AmIA Environments we intend to bring together researchers from the different addressed fields, discussing issues under the Artificial Intelligence topics included in the context of 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 relevant results and conclusions.


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 & Multi-Agent 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

Organisation Committee

  • Paulo Novais, Universidade do Minho, Departamento de Informática, Portugal
  • Goreti Marreiros, Instituto Superior de Engenharia do Porto, Portugal
  • João Carneiro, Instituto Superior de Engenharia do Porto, Portugal
  • Sara Rodríguez, University of Salamanca, Spain
  • Peter Mikulecky, University of Hradec Kralove, Czech Republic

Program Committee

  • Antonio Fernández-Caballero, Universidad de Castilla-La Mancha, Spain
  • Carlos Bento, University of Coimbra, Portugal
  • Dalila Alves Durães, Universidade do Minho, Portugal
  • Davide Carneiro, CIICESI/ESTG, Polytechnic Institute of Porto, Portugal
  • Esteban Jove, UDC Spain
  • F. Amílcar Cardoso, University of Coimbra, Portugal
  • Fábio Silva, University of Minho, Portugal
  • Fernando De La Prieta, University of Salamanca, Spain
  • Florentino Fdez-Riverola, University of Vigo, Spain
  • Francisco Bellas ,Universidade da Coruna, Spain
  • Goreti Marreiros, ISEP/IPP-GECAD, Portugal
  • Grzegorz J. Nalepa, Jagiellonian University, Poland
  • Hector Alaiz Moreton, Spain
  • Hoon Ko, GECAD/ISEP/IPP, Portugal
  • Ichiro Satoh, National Institute of Informatics, Japan
  • Jason Jung, Chung-Ang University, South Korea
  • Javier Bajo, Universidad Politécnica de Madrid, Spain
  • Javier Jaen, Universitat Politècnica de València, Spain
  • Jean-Michel Ilie, LIP6, Univ. Pierre et Marie Curie, France
  • João Carneiro, ISEP/GECAD, Portugal
  • Jose Neves, University of Minho, Portugal
  • José Machado, University of Minho, Portugal
  • Jose Luis Calvo-Rolle, University of A Coruña, Spain
  • Jose M. Molina, Universidad Carlos III de Madrid, Spain
  • Lino Figueiredo, ISEP, Portugal
  • Luis Macedo, University of Coimbra, Portugal
  • Paulo Novais, University of Minho, Portugal
  • Peter Mikulecky, University of Hradec Kralove, Czechia
  • Ricardo Costa, ESTG.IPP, Portugal
  • Ricardo Santos, ESTG/IPP, Portugal
  • Rui José, University of Minho, Portugal
  • Sara Rodríguez, University of Salamanca, Spain
  • Tatsuo Nakajima, Waseda University, Japan
  • Tiago M. Fernandez-Carames, Universidade da Coruna, Spain
  • Vicente Julian, Universitat Politècnica de València, Spain