ACIE 2013 - 1st International Workshop on Applications of Affective Computing in Intelligent Environments

There has been considerable research on Intelligent Environments (IE) in which pervasive infrastructures have tried to understand user needs through their interactions and behaviours to improve user experience, and enhance their lives. Consequentially there has been a need for researchers and industry to develop more unobtrusive and natural communication between computing artefacts and users, as well as to expand the spectrum of what can be sensed to include the user’s physiological and emotional responses to the environment.
Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as “computing that relates to, arises from, or deliberately influences emotions” as initially coined by Professor R. Picard (MIT Media Lab). AC seeks to facilitate research through the recognition, modelling of human affective states. Practical applications of AC based systems seek to achieve a positive impact on human everyday lives by monitoring, communicating or affecting the emotive states of people.
This workshop will provide an opportunity to both promote and demonstrate how recent developments of unobtrusive physiological sensing systems can be used in interesting and novel affective systems for eliciting physiological information; modelling and identifying physiological and emotional responses, to enhance IE based applications. Research into the interplay of affective computing and IEs may also need to address issues related to artificial intelligence, psychology, sociology and ergonomics that will have a direct implication in the design and deployment of these systems.
We expect submitted papers to be of a high quality describing original research in the area with particular emphasis, to real world applications. Topic areas include, but are not limited to:
Multisensory fusion
Intelligent affect aware systems and services for IEs
Affect based augmented artefacts for IEs
Affect driven immersive interfaces for IEs
Personalised physiological and emotive modelling.
Affect recognition based systems for IEs
Affect based adaptive systems for IEs
Physiological and emotion driven control
Ambient affective systems
Learning systems
AC and gamification based system for IEs
Applications of Brain Computer Interface (BCI) for IEs
eHealth and social care based applications of AC
Social and collaborative based systems