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Contextual Information

Presented for TTI Vanguard "Shift Happens" conference ( visit to PARC, this represents a slice of some of our work in contextual intelligence.

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Contextual Information

  1. 1. Contextual Information Bo Begole, Ph.D. Ubiquitous Computing Computing Science Laboratory
  2. 2. confidential <ul><li>Support revolutionary new context-enabled applications </li></ul>Information and people always linked to each other thru context Information self-organizes for faster retreival New context-enabled applications for vertical markets Better generic applications such as enterprise semantic search <ul><li>Sensed </li></ul><ul><li>Location </li></ul><ul><li>Proximity to other devices </li></ul><ul><li>Inferred from activity </li></ul><ul><li>Author </li></ul><ul><li>Task, activity </li></ul><ul><li>Relation to other documents </li></ul><ul><li>Relation to people </li></ul><ul><li>Explicit </li></ul><ul><li>Social tagging </li></ul><ul><li>Comments </li></ul><ul><li>Bookmarks </li></ul><ul><li>Extracted from content </li></ul><ul><li>Topic </li></ul><ul><li>Author </li></ul><ul><li>Document type </li></ul><ul><li>People, places, and things </li></ul><ul><li>Key concepts </li></ul><ul><li>Project </li></ul><ul><li>Automatically build context around information & interactions </li></ul>Harness content and context relationships to make knowledge use much easier People Content Tasks Events Places Topics
  3. 3. Contextual Intelligence <ul><li>Converting the ocean of unstructured , human readable information into a Personal Semantic Network would allow you to: </li></ul><ul><ul><li>See more </li></ul></ul><ul><ul><ul><li>Discover new information serendipitously </li></ul></ul></ul><ul><ul><ul><li>Deliver information proactively </li></ul></ul></ul><ul><ul><li>See less </li></ul></ul><ul><ul><ul><li>Better filter and sort search results </li></ul></ul></ul><ul><ul><ul><li>Auto-update business processes </li></ul></ul></ul><ul><ul><li>See relationships </li></ul></ul><ul><ul><ul><li>Summarize related items </li></ul></ul></ul><ul><ul><ul><li>Support multi-tasking </li></ul></ul></ul>email web plain text images audio office documents People Content Tasks Events Places Topics
  4. 4. Combine context data and cognitive models Activity model: User goals, beliefs and desires Physical context Location, Time, Social context Behavior model Past actions (individual, population) Preference model Tastes, Interests, Expertise Electronic context Calendar, Calls, Email, Documents Advertising Community monitoring Information retrieval Spatial/Time patterns Time tracking Power savings Support of science Group default behavior Group coordination Better usability Health monitoring
  5. 5. Recommendation service Consumer Local area Mobile device <ul><li>Leisure information and suggestions based on </li></ul><ul><ul><li>Situation </li></ul></ul><ul><ul><li>Past behavior </li></ul></ul><ul><ul><li>Personal preferences </li></ul></ul>Trials in Japan, spring 2010 [ Nikkei Trendy Net ] Magitti: Activity-aware leisure guide Context: Time, location, recent messages, etc. Restaurants, stores, events, etc. Filter and rank information items Infer activity Feedback Model preferences
  6. 6. Magitti demo video http://www2. parc . com/csl/groups/ubicomp/videos/magitti_project_demonstration . wmv
  7. 7. Recommendable items Restaurant reviews Store descriptions Parks descriptions Movie listings Museum events Magazine articles … Filtering and ranking Activity Utility Information What you like <ul><li>Personal Preferences </li></ul><ul><li>Explicit preferences </li></ul><ul><li>Rating of items inspected </li></ul><ul><li>Analysis of content read </li></ul><ul><li>Behavior; where/when/what </li></ul><ul><li>Context </li></ul><ul><li>Time </li></ul><ul><li>Location </li></ul><ul><li>Email analysis </li></ul><ul><li>Calendar analysis </li></ul><ul><li>History </li></ul><ul><li>Prior population patterns </li></ul><ul><li>User queries </li></ul><ul><li>User locations </li></ul>Eat Buy See Do Read What you are doing now EAT Straits Cafe 0.77 EAT Fuki Sushi 0.64 SEE J. Gallery 0.60 EAT Tamarine 0.57 DO Sam’s Salsa 0.39 EAT Bistro Elan 0.38 BUY Apple Store 0.33 EAT Spalti 0.31
  8. 8. Levels of Contextual Intelligence email web pages plain text images audio forms office documents Systems observe typical action-in-context patterns and deliver information that the user would not otherwise have known to look for. Systems extract and present relationships discovered in information to augment human sense-making . Users manually search, sort, sift and associate to find meaning and make sense Systems filter and sort information based on the user’s current context to increase efficiencies of search and discovery . Contextual Intelligence
  9. 9. Industry analysts takes on Contextual Intelligence <ul><li>Gartner: Context-Enhanced Services </li></ul><ul><ul><li>Major disruption over next 5-10 years </li></ul></ul><ul><li>Forrester: Smart Computing, Business Intelligence </li></ul><ul><ul><li>From ~$7B in 2008 to ~$14.5B by 2014 </li></ul></ul><ul><li>IDC: Context-based Information Retrieval </li></ul><ul><ul><li>Real-time decision making </li></ul></ul><ul><li>Applications range from consumer … </li></ul><ul><ul><li>Leisure activity guide (Magitti) </li></ul></ul><ul><ul><li>Smart retail environments (Responsive mirror) </li></ul></ul><ul><li>… to business </li></ul><ul><ul><li>Personal information context (Ubidocs) </li></ul></ul><ul><ul><li>Group information context </li></ul></ul><ul><ul><li>Enterprise information repositories </li></ul></ul><ul><ul><li>Social cognition for knowledge creation (ASC) </li></ul></ul>-Forrester Smart Computing -Gartner, What’s in the Lab -IDC Software Predictions 2010
  10. 10. To subscribe to the PARC Innovations Update e-newsletter or blog and other feeds, or to follow us on Twitter, go to For more information, please contact: Bo Begole, Principal Scientist Bo. [email_address] .com Lawrence Lee, Business Development Lawrence. [email_address] .com