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Ubiquitous Computing A Look Into Everyware

Ubiquitous Computing A Look Into Everyware. By Eric Miller. Key Terms. Ubiquitous – Present, appear, or found everywhere (omnipresent) Context - Info that relates to an entity Ontology – Knowledge as a set of concepts within a domain, and their relationships. What is Ubiquitous Computing?.

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Ubiquitous Computing A Look Into Everyware

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  1. Ubiquitous ComputingA Look Into Everyware By Eric Miller

  2. Key Terms • Ubiquitous – Present, appear, or found everywhere (omnipresent) • Context - Info that relates to an entity • Ontology – Knowledge as a set of concepts within a domain, and their relationships

  3. What is Ubiquitous Computing? • Post-desktop model of human-computer interactions • NOT virtual reality • Seamlessly interconnected world

  4. Relative Terms • Pervasive Computing • Ambient Intelligence • Everyware

  5. Daddy? • Mark Weiser • Father of Ubiquitous Computing • From Harvey, Illinois • Chief Scientist at PARC • Coined Ubiquitous Computing in 1988 • Wrote “The Computer for the 21st Century” • Interesting views

  6. Weiser • Three forms of Ubiquitous Computing devices • Tabs • Pads • Boards • Three more since • Dust • Skin • Clay

  7. Goals • Natural Interaction • Ease of Life • Reliable and accessible Information “The most profound technologies are the ones that disappear. They weave themselves into the fabric of everyday life until they are undistinguishable from it.” – Mark Weiser

  8. Smart Devices • Needs • Remote Access • Power • Adapt • Scale • Wants • Extends Needs • Fast • Anywhere • Anytime • Highly Mobile

  9. Smart Devices • Device Independence • Application Independence • Adaptively and Adaptability • Collective Operation

  10. Context • Dynamic Context • Rates of Change • Evolution • Relational Context • Time • Person to person

  11. Context • User Context • Device Context • Application Context • Information Context • Environmental Context • Time Context • Historical Context • Relational Context

  12. Context • Computers • Gather Data • Aggregate Data • Running Calculations • Humans • Defining Contexts • Determine What is Important • Both • Misunderstandings • Imperfect

  13. Context Management • Context Modeling • Capturing • Abstraction/Reasoning • One-to-One • Context Fusion • Context Fission • Dissemination

  14. Context Aware Systems • Able to sense their environment • Where You Are • Who You’re With • Nearby Resources • High Development Overheads • Strong Barriers • Lack of Infrastructure

  15. Semantic Web • Provides common framework that allows data to be shared and reused across application, enterprise, and community boundaries. • W3C • Would aid greatly to Context Aware Systems • Developed with Ontology Oriented Programming

  16. Location Awareness • Devices that sense your or their location • Passive or Active • GPS • Giving Directions • Warehouse • Provides Comfort

  17. Sentient Computing • Sentient – Able to perceive or feel things • Uses sensors to perceive its environment and react accordingly • Uses world model and location awareness

  18. E-Learning • In Classroom • Out of Classroom • Can be self paced or instructor led

  19. Ontology Oriented Programming • Go! • Ontological Programming

  20. Challenges • Anticipating future trends • Meeting future needs • Proximate Future • Infrastructure • Possible? • Security

  21. Proximate Future • Always a next step • Currently Living It • Mobile technology • Different from what was expected • You Decide

  22. Singapore • Road Payment System • Text-a-Taxi

  23. Infrastructure • Will it Work? • Re-usability • Manageability • Accessibility • Durability • Out of Date Machines • Power Issues • Data Storage

  24. Possible? • Tupac Hologram • Accurate Interactions

  25. Security • Is it wanted? • How Invasive? • Law Changes? • Restrictions • Law Enforcement

  26. Examples • Coffee Cup • Refrigerator • Automated Lighting • Automated Electronics • Augmented Reality • Examples

  27. Augmented Reality • Layar • GPS

  28. Augmented Reality

  29. Augmented Reality

  30. Augmented Reality

  31. Conclusions • Role of user must be very clearly understood • Role of environment must be understood • Current infrastructure must be expanded to support context aware systems • Major developments in Ontology Oriented Programming must be made first • Must clearly define objects to not get lost in “proximate future” loop

  32. Questions?

  33. Sources • http://www.biomedcentral.com/content/pdf/1472-6947-8-26.pdf • http://www.ics.uci.edu/~jpd/ubicomp/BellDourish-YesterdaysTomorrows.pdf • http://ojs.academypublisher.com/index.php/jsw/article/view/04099921013/1431 • http://www.cs.cmu.edu/~aura/docdir/pcs01.pdf • http://www.utdallas.edu/~muratk/courses/privacy08f_files/location_privacy_pervasive_computing.pdf • http://csce.uark.edu/~nilanb/teaching/papers/kindberg.pdf

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