AmIA 2013 - 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, making everyone’s 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 “natural” 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 Workshop 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In order to fulfill these objectives, submissions of substantial, original and previously unpublished work are invited in all areas of Ambient Intelligence and Affective environments.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