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Workshop on Multimodal Interfaces in Semantic Interaction 2007 - Programme Committee
Agrandissement
  Agrandissement
International Conference on Multimodal Interfaces, Nagoya, Japan, Nov 15, 2007
Website


Organizers:

Naoto Iwahashi (National Institute of Information and Communications Technology)
Mikio Nakano (Honda Research Institute Japan)

Program Committee Members:

Hideki Asoh (National Institute of Advanced Industrial Science and Technology, Japan)
Masahiro Araki (Kyoto Institute of Technology, Japan)
Michael Beetz (Munich University of Technology, Germany)
James Glass (Massachusetts Institute of Technology, USA)
Christian Goerick (Honda Research Institute Europe, Germany)
Tetsunari Inamura (National Institute of Informatics, Japan)
Frederic Kaplan (Ecole Polytechnique Fédérale de Lausanne, France)
Tetsunori Kobayashi (Waseda University, Japan)
Helen Meng (Chinese University of Hong Kong, Hong Kong)
Takayuki Nagai (The University of Electro-Communications, Japan)
Tsuneo Nitta (Toyohashi University of Technology, Japan)
Natsuki Oka (Kyoto Institute of Technology, Japan)
Hiroyuki Okada (Tamagawa University, Japan)
Hiroshi G. Okuno (Kyoto University, Japan)
Candace Sidner (BAE Systems, USA)
David Traum (University of Southern California, USA)

With the advances in ubiquitous networks, data mining, communication robots, and sensing technologies, various information on the real world has become available in real time. This information, presented to the user, not only makes it possible to support his or her intellectual activities but may also be utilized as context, thus opening great possibilities of achieving situated intelligent functions.

The information systems and robots that support human activities in everyday life should ideally have functions that allow them to interact with humans adaptively according to context, such as the situation in the real world and each human's individual characteristics. For instance, these functions might include the ability to understand the user's intention through his or her utterances, as well as the ability to provide suitable information at appropriate timing.

In order to realize such interaction-as semantic interaction-it is necessary to extract and use the valuable context information needed for understanding interaction from the obtained real-world information. This context information is multimodal information at several levels: 1) raw information obtained from sensors, 2) information obtained through categorization, and 3) the relationships between categories.

In semantic interaction, it is important for the user and the machine to share knowledge and an understanding of a given situation. Thus, it is necessary to infer the user's intention and to represent the machine's inner state naturally through speech, images, graphics, manipulators, and so on. This is achieved based on the multimodal context information. Accordingly, the development of multimodal interfaces is a very important research theme.

The goal of this workshop is to gather researchers active in the above field, or related domains, to discuss theories, basic technologies, and application systems. We are looking for position papers as well as research papers that debate or contribute to the following (and other related) areas:

* Extraction of context information from the real world
* Situated interaction using context information
* Theories and basic technologies on the grounding of language
* Situated dialogue system
* Human-robot interaction
* Inference of intention and mental state from user's behavior
* Processing of emotion and paralinguistic information
* Embodiment in semantic interaction
* Adaptation, learning, and development for semantic interaction
* Active sensing for semantic interaction