Contextual Information

Contextual Information Bo Begole, Ph.D. Ubiquitous Computing Computing Science Laboratory

confidential
Support revolutionary new context-enabled applications
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
Sensed
Location
Proximity to other devices
Inferred from activity
Author
Task, activity
Relation to other documents
Relation to people
Explicit
Social tagging
Comments
Bookmarks
Extracted from content
Topic
Author
Document type
People, places, and things
Key concepts
Project
Automatically build context around information & interactions
Harness content and context relationships to make knowledge use much easier People Content Tasks Events Places Topics

Contextual Intelligence
Converting the ocean of unstructured , human readable information into a Personal Semantic Network would allow you to:
See more
Discover new information serendipitously
Deliver information proactively
See less
Better filter and sort search results
Auto-update business processes
See relationships
Summarize related items
Support multi-tasking
email web plain text images audio office documents People Content Tasks Events Places Topics

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

Recommendation service Consumer Local area Mobile device
Leisure information and suggestions based on
Situation
Past behavior
Personal preferences
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

Magitti demo video http://www2. parc . com/csl/groups/ubicomp/videos/magitti_project_demonstration . wmv

Recommendable items Restaurant reviews Store descriptions Parks descriptions Movie listings Museum events Magazine articles … Filtering and ranking Activity Utility Information What you like
Personal Preferences
Explicit preferences
Rating of items inspected
Analysis of content read
Behavior; where/when/what
Context
Time
Location
Email analysis
Calendar analysis
History
Prior population patterns
User queries
User locations
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

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

Industry analysts takes on Contextual Intelligence
Gartner: Context-Enhanced Services
Major disruption over next 5-10 years
Forrester: Smart Computing, Business Intelligence
From ~$7B in 2008 to ~$14.5B by 2014
IDC: Context-based Information Retrieval
Real-time decision making
Applications range from consumer …
Leisure activity guide (Magitti)
Smart retail environments (Responsive mirror)
… to business
Personal information context (Ubidocs)
Group information context
Enterprise information repositories
Social cognition for knowledge creation (ASC)
-Forrester Smart Computing -Gartner, What’s in the Lab -IDC Software Predictions 2010

To subscribe to the PARC Innovations Update e-newsletter or blog and other feeds, or to follow us on Twitter, go to www.parc.com/subscribe For more information, please contact: Bo Begole, Principal Scientist Bo. [email_address] .com Lawrence Lee, Business Development Lawrence. [email_address] .com

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Contextual Information

by PARC, a Xerox company on Mar 01, 2010

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