EAC

Emotional and Affective Computing

The track on Emotional and Affective Computing (EAC) will focus on the role of affect, emotion and social behaviour in the development of computer systems. These include the consideration of factors like emotions, mood, personality traits, and attitudes in the human-computer, human-robot, and human-environment interaction, providing a better and more "natural" support for humans, and access to the knowledge essential for making better decisions in response to interactions between individuals and the environments (e.g. facilitating social interaction among humans or among humans and artificial characters).

There is a wide variety of motivations for emotional and affective computing. Emotions and social behaviour play an important role in decision making processes, as well as in perception and learning.

Emotion and Affective Computing is a multidisciplinary field that brings together areas like for example, sociology, psychology, human-machine interaction, virtual environments, and, obviously, Artificial Intelligence. Furthermore, in this area we have a large set of different applications like for example: virtual reality, decision support, computer games, and ambient intelligence.

In the track on Emotional and Affective Computing we would like to bring together researchers to discuss theories, architectures and applications which are based on the combination of rational and affective aspects, and on the consideration of groups of persons, considering the personalities and their combination.

Topics of Interest

• Computational models of emotions
• Emotion recognition
• Social Web
• Personality in Agents Architectures
• Emotion and learning
• Artificial characters
• Emotion and memory
• Emotion content classification and affect content classification, used to evaluate or analyse human-X interaction;
• Using reputation and trust models in social interactions
• Using negotiation and persuasion in social interactions
• Infrastructure and policy for affective computing
• Understanding and Modelling groups and other social systems
• Affective Computing
• Ambient Intelligence
• Social aspects of globally distributed computing and new cooperative work technologies
• New forms of education, entertainment and social relations based on cooperation technologies

Organising Committee

• Goreti Marreiros, Institute of Engineering – Polytechnic of Porto, Portugal
• Andrew Ortony, Northwestern University, Chicago, USA
• Ana Paiva, INESC-ID and IST, Portugal
• Luis Antunes, University of Lisbon, Portugal

Contact

goreti[at]dei[.]isep[.]ipp[.]pt

Program Committee

• Amilcar Cardoso, University of Coimbra, Portugal
• Ana Paiva,INESC-ID, Portugal
• Andrew Ortony, Northwestern University, USA
• Boon Kiat Quek, National University of Singapore
• Carlos Ramos, Institute of Engineering - Polytechnic of Porto, Portugal
• César Analide, University of Minho, Portugal
• Cristiano Castelfranchi, ISTC/CNR, Rome, Italy
• Goreti Marreiros, Institute of Engineering – Polytechnic of Porto, Portugal
• Helder Coelho, University of Lisbon, Portugal
• Ian Horswill, Northwestern University, USA
• Eva Hudlicka, Psychometrix Associates Blacksburg, VA, USA
• Jennifer Healey, MIT, USA
• José Machado, University of Minho, Portugal
• José Neves, University of Minho, Portugal
• Juan Pavón, Univ. Complutense de Madrid, Spain
• Juan Velásquez, MIT CSAIL, USA
• Lola Canamero, University of Hertfordshire, United Kingdom
• Luis Antunes, University of Lisbon, Portugal
• Michelle See, National University of Singapore
• Nigel Gilbert, University of Surrey, Guildford, United Kingdom
• Paolo Petta, OFAI, Austria
• Paulo Novais, University of Minho, Portugal
• Ricardo Santos, School of technology and management - Polytechnic of Porto, Portugal
• Robert Axtell, George Mason University, Fairfax VA, USA
• Samer Hassan, Univ. Complutense de Madrid, Spain
• Stacy Marsella, ISI/ University of South Callifornia, USA
• Win Burleson, MIT, USA
• Yinping Yang, National University of Singapore