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1 CACTUS: Context Aware Communications, Terminal, and User
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-2- CACTUS Project Partners: TU-Delft: Faculties of Information Technology and Systems, Technical Physics, Industrial Design TNO: FEL (The Hague) and Human-Factors (Soesterberg) Research volume (2 year’s basis): TU-Delft: 9 MY staff/1 st money stream, 16 MY OIO/Postdoc TNO: 5 MY research staff
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-3- CACTUS Project Overview (1) Stationary node/ Gateway Stationary node/ Gateway nodes
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-4- CACTUS Project Overview (2) User-terminal interaction Terminal-ad hoc network interaction Context- awareness Intelligence and AI-techniques Trusted assistant Optimized system i-DEA device CACTUS project My personal assistant (intelligent Device acting as Electronic Assistant)
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-5- CACTUS Project Objectives Model, design, optimize, and evaluate intelligence and context-awareness of an i-DEA device: The interaction between an intelligent device and its user to carry out specific tasks as a trusted assistant Taking communication context into account USEr-Terminal interaction work package The trade-offs and optimizations in computing and communications: information processing and communications amongst neighboring devices in an ad-hoc fashion, taking usage context into account TERMInal-NETwork interaction work package
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-6- Common Scenario: Story Board Situation Research Questions
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-7- CACTUS UseT Illustrated (1)
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-8- CACTUS UseT Illustrated (2) Research questions addressed: Electronic assistant that is trusted by user Electronic assistant that is consistent across platforms and environments Electronic assistant that adapts itself to user’s context -User context: task, situation, activity, mood, experience, history -System context: resources of network and device, application’s needs, connectivity, … Electronic assistant has a model of its user and preferences Electronic assistant learns from the user’s actions
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-9- CACTUS TermiNet Illustrated (1) Media (music, video) Ad-hoc network Multipath routing/streaming
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-10- CACTUS TermiNet Illustrated (2) Research questions addressed: System dynamically adapts routing in ad-hoc network depending on changing topology System optimizes QoS and democratic resource usage in ad-hoc networks Application level knows about underlying ad-hoc behavior and optimizes high-end application (media streaming) System uses a “context grid” to represent “communications and computing conditions history”
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-11- Deliverables 2002-2004 Scientific output: Papers and Ph.D. Theses Design rules Functional descriptions and Algorithms for interaction/intelligent/network software components Simulation of ad-hoc network and media streaming Platform using off-the-shelf components for testing user interfacing concepts Usability and Feasibility studies
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