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 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In order to fulfill these objectives, submissions of substantial, original and previously unpublished work are invited in all areas of Ambient Intelligence and Affective environments.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
Paper submission
Submissions must be original and not published elsewhere. Papers should not exceed twelve (12) pages in length and must adhere to the formatting instructions of the conference. Each submission will be peer reviewed by at least three members of the Program Committee. The reviewing process is double blind, so authors should remove names and affiliations from the submitted papers, and must take reasonable care to assure anonymity during the review process. References to own work may be included in the paper, as long as referred to in the third person. Acceptance will be based on the paper’s significance, technical quality, clarity, relevance and originality.
Paper Publication
All accepted papers will be published by Springer in a volume of the LNAI-Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge). The number of pages of the accepted contributions has the following limits:
- Full Regular Papers: Contributions accepted as full papers should contain from 10 to 12 pages in its final version, according to the LNAI series formatting instructions. Extraordinarily, other two additional pages could be considered with a supplementary fee.
- Short Papers: Contributions accepted as short papers should contain from 4 to 6 pages in its final version, according to the LNAI series formatting instructions.
All accepted papers must be presented orally the conference by one of the authors and at least one author of each accepted paper must register for the conference.
Important dates
Deadline for paper submission: March 23, 2015
Notification of paper acceptance: 27, April, 2015
Camera-ready papers due: 1, June, 2015
Conference dates: September 8-11, 2015
Track Chairs
Paulo Novais
Department of Informatics, University of Minho, Braga, Portugal
Email: pjon (at) di.uminho.pt
Ana Almeida
Polytechnic Institute of Porto, Porto, Portugal
Email: amn (at) isep.ipp.pt
Sara González
University of Salamanca, Salamanca, Spain
Email: srg (at) usal.es
Goreti Marreiros
Polytechnic Institute of Porto, Porto, Portugal
Email:mgt (at) isep.ipp.pt
Program Committee
Antonio Fernández Caballero, University of Castilla-La Mancha, Spain
Amilcar Cardoso, University of Coimbra, Portugal
Andrew Ortony, University of NorthWestern, USA
Angelo Costa, University of Minho, Portugal
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
César Analide, University of Minho, Portugal
Dante Tapia, University of Salamanca, Spain
Davide Carneiro, University of Minho, Portugal
Diego Gachet, European University of Madrid, Spain
Eva Hudlicka, Psychometrix Associates Blacksburg, VA, US
Florentino Fdez-Riverola, University of Vigo, Spain
Javier Jaen, Polytechnic University of Valencia, Spain
Javier Bajo, Polytechnic University of Madrid, Spain
José M. Molina, University Carlos III of Madrid, Spain
José Machado, University of Minho, Portugal
José Neves, University of Minho, Portugal
Juan M. Corchado, University of Salamanca, Spain
Laurence Devillers, LIMS-CNRS, France
Lino Figueiredo, Polytechnic of Porto, Portugal
Luís Macedo, University of Coimbra, Portugal
Ricardo Costa, Polytechnic of Porto, Portugal
Rui José, University of Minho, Portugal
Vicente Julian, Polytechnic University of Valencia, Spain
