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The study of 3D Tele-immersion impact on remote collaborative work represents a very interesting and challenging research topic. In this paper, we introduce the latest accomplishments of TEEVE research which merges computer science with dance choreography. This collaborative research model is ideal for creative, interdisciplinary problem solving. TEEVE offers an entirely new interface for dance choreography as a creative tool and alternative performance venue.

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We present MobileTI, a portable tele-immersive system that merges 3D video representations of users in real time to enable remote collaboration across geographical distances. With portability as a main goal, we address the challenges in the camera setup, time synchronization, video acquisition, and networking in the design and implementation of the system. Having been deployed in public performances, MobileTI proves to be effective, efficient, and user-friendly. Our experimental findings in terms of technical performance and user feedback are presented.

This Creativity & Cognition 2013 workshop explores emerging methods for mapping movement, technology and computation. We invite participants that are interested in bodily experience within computational knowledge representation. The title Beautiful Dance Moves, references the challenge of representing embodied movement knowledge within computational models. While human movement itself focuses on bodily experience, developing computational models for movement requires abstraction and representation of lived embodied cognition. Mappings between movement and its rich personal and cultural meanings provide an underexplored research domain that can provide insight within computational modeling. Many fields, including Interaction Design, have been inspired by recent developments within Neuroscience validating the primacy of movement in cognitive development and human intelligence. This has spawned a growing interest in experiential principles of movement awareness and mindfulness, while simultaneously fueling the need for developing computational models that can describe movement intelligence with greater rigour. This workshop seeks to explore an equal and richly nuanced epistemological partnership between movement experience and movement cognitive and computational representation.