As the global information infrastructure is becoming more and more pervasive, however, digital business transactions are performed in diverse situations, using a variety of mobile devices and across multiple communication channels. Rather than being forced to assume a fixed, pre-set position in front of a machine, users move freely around their work environment, starting and monitoring different transactions. Mobile terminals get smaller and lighter, yet at the same time the requirements to be able to interact with pervasive applications keep expanding.

Terminal devices are increasingly equipped with multiple sensors, such as video cameras or audio/video equipment, capable of collecting information from the environment. Our voice, hands, and whole body, once augmented by sensors, are becoming the ultimate mobile multimodal input devices. In this new paradigm of multimodal access to networked media, a much richer context representation regarding both users and the resources they access is made available to applications. Thus, the outcome of an interaction may well depend of where is the user when a certain application-related event takes place, where is she headed, or even whether is she sitting at her desk alone or walking accompanied by others.

This workshop is dedicated to research on the technologies used to improve the intelligence capacity of multimedia devices. IME is aims to bring together top researchers both from academia and industry to stimulate research and create interdisciplinary collaboration links allowing the exploration of new frontiers in the area of multimodal environment.

The topics of interest include but are not limited to:

* Intelligent User Interfaces
* Multimedia Interaction
* Multimedia Signal Processing for Human-Computer Interaction
* Virtual Reality Environments
* Web-based Intelligent User Interfaces
* User Modeling and Personalization
* Intelligent Help Systems
* Adaptive User Interaction
* Intelligent Tutoring Systems
* Recommender Systems
* Affective Systems
* Multi-modal Systems
* Machine Learning-based Interactive Systems
* Cognitive Environments
* User Stereotypes
* User Interface Life Cycle
* Empirical Studies
* Evaluation
* E-commerce Applications
* E-learning Applications
* E-government Applications
* User Interface Privacy and Security
* Other