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Design Principles for Intelligent Environments Coen M. H., AAAI-98

Design Principles for Intelligent Environments Coen M. H., AAAI-98. Introduction Intelligent Room Room Vision System Speech Interaction Conclusion. Introduction. Intelligent environment (IE) Highly embedded, interactive spaces used to enhace ordinary activity seamlessly Goal

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Design Principles for Intelligent Environments Coen M. H., AAAI-98

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  1. Design Principles for Intelligent EnvironmentsCoen M. H., AAAI-98 Introduction Intelligent Room Room Vision System Speech Interaction Conclusion Marjaana Träskbäck

  2. Introduction • Intelligent environment (IE) • Highly embedded, interactive spaces • used to enhace ordinary activity seamlessly • Goal • computers to participate in new activities • HCI via gesture, voice, movement, and context • Presents Intelligent Room prototype space • research question: How IEs should be designed? Marjaana Träskbäck

  3. Intelligent Room • Spaces in which computation is seamlessly used to enhance ordinary activity • The UI primitives of these systems are not menus, mice and windows, but gestures, speech, affect, and context • IEs are both embedded and multimodal and thereby allow people to interact with them in natural ways Marjaana Träskbäck

  4. Intelligent Room • Rather than to make computer-interfaces for people, we want to make people-interfaces for computers • Enable tasks historically connecting computers to phenomena Marjaana Träskbäck

  5. Intelligent Room • Half of the room is a conference room • The other half has room for computation Marjaana Träskbäck

  6. Intelligent Room • Problem1: Computer vision and speech recognition/understanding system development • Problem2: Interconnecting all of the rooms many subsystems and coordinating the flows of information • > Scatterbrain (Coen M. Building Brains for Rooms: Designing Distributed Software Agents) Marjaana Träskbäck

  7. Room Vision Systems • Issues • The tracking network need to be trained • The system is sensitive to any deviation from its training conditions • Computer vision system that rely on background segmentation, can be extraordinarily sensitive to environmental lighting conditions • Shadows are particularly difficult Marjaana Träskbäck

  8. Speech Interaction • issues • The size of the recognition grammar • divided into subsets • Current context is taken into account • other systems can help to overcome comptational limitations • Can help other modalities Marjaana Träskbäck

  9. Conclusions • IEs need to be more than mix on systems • Communication among modalities can lead • to synergistic reinforcement • to a more reliable system • Modalities need to carefully selected • easy to install • easy to maintain • able to be used under different environmental conditions IEs success: self-training and avoiding manual calibration! Marjaana Träskbäck

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