praja - 国立情報学研究所 / national institute of ... · praja event suite context...
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PRAJA
November 4, 2000
Digital Experience:Better Than Being There.
Ramesh [email protected]
Experience
� Direct Observation and Participation
� Two Modes� Being there
� Immersed in the environment� Can use your ‘senses’� Can decide which ‘view’ of the environment to experience
� Remote experience� Sensors� Model of the environment� Communication medium� User Interaction
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Nature of Experiences
Entertainment Educational
Esthetics Escapist
Immersion
Absorption
PassiveParticipation
Active Participation
From:Experience EconomyBy Pine and Gilmore
Event Experience
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Major Inventions
Invention Application ImpactLanguages Communicate symbolic experiences
Written Languages Record Symbolic experiences
Paper Portability
Print Mass distribution
Telegraph Remote narrow communication
Telephone Remote analog communication
Radio Analog broadcasting of sound
Television Analog broadcasting of Sight andSound
Recording media Analog recording
Digital processing Machine enhancement and processing
Internet Multimedia communication
Components of Experience
� Assimilation of sensed informationto form Environment model.
� Communication of model and senseddata.
� Participation or Interactionenvironment for a user.
� Presentation of the correct ‘view’ tothe user.
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Digital Experience
Event
EnvironmentModel
Video
Text
Stats
Graphics
Tactile
User
Creating Experiences
CaptureVarious Content
From AnySource
PRAJA CoreLive
Dynamic
Historical
Text
Archived Audio
Video
Any sensor
To Any Device
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Towards Experience on Internet
Data:Text, Statistics, Sensors (Video)
DataInformation:
Search, specialized sourcesInformation
Experience: Direct observation or
participation
Experience
Five Century oldLegacy of GutenbergContinues…Despite all advances in technology.
The Current DocumentWeb:
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Strategic Inflection Points
Documents on Web
Experience on Web
1995 2000 2005 2010
Keyword Search
MediaSearch
ContextualSearch
ImmersiveExperience
Updates and alerts
Needed: EventWeb
FamilySports
Fun
Knowledge
Personal
Finance
Office
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Maximizing the Value of Content
� Value = Assets
For both Live and Archived content.
X Reconfigurability
CNN Sports: Multimedia Central
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CNN Sports: Main Page
Video Search
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Unified Indexing
� Should not use idiosyncrasy of a medium� Video: time, frame number; Text: page, line; ...
� Should be independent of a medium� Should allow indexing into all media
Event hierarchy is the best ‘unified indexing’.
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Current Indexing Approaches
� Different databases have different indexing� Assets are generated at different time and at different place
and dumped in the ‘warehouse’� No unified indexing approach
Unified Indexing
Meta Index based on Event-graph
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Event Indexing
Contextual Search
� Context = (person, location, time, situation)� Person = (set of preferences, personal
data)� Situation = (weighted activity history)
� Contextual Search = Search in Context� Contextual Inference = Anticipation
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Query Processing
Query Transformation
PresentationSystem
Query
Data
User Query
Display to User
Contextual Query Processing
Query Transformation
PresentationSystem
Query
Data
Context
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PRAJA ExperienceWare ArchitecturePRAJA ExperienceWare Architecture
Event-Index
MediaAssets
Entry,Assimilation,Aggregation
PresentationCreator
Event DataSources
Experience Modes
Stories
SensorHost
DataStream
Database
Video
Capturing Digital information
� Locate digital info in anydatabase and create linksto it
� Capture sensor data
� Capture active datasources, live stats feed
� Bulk load digital infointo the EMS server
XMLEvent language
QuickView Module
EventSubmission
XML Module
Data Source (server console)
ExperienceCamModule
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Data Model and data assimilation
Active Attributes (server console)
Data Assimilation (server console)
� Assimilate andaggregate digitalinformation & assets -categorize & organizeby topic, participants,time & location
� Create a hierarchal,spatio-temporal datamodel for the digitalinfo
� Dynamic updates ofrelated links,declarative vsprogrammatic
Data Modeling (server console)
Indexing and Navigation
Unified Indexing Module
W4 searchModule
Event finderModule
Index & search alldigital infosimultaneouslyregardless of type orlocation
Discover info by time,space, location andcontext
Multidimensionalcontextual search andspatial info mgt via datavisualization
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Presentation
Customize and personalize
entire front end look and
feel, including by user
role & preferences
Render data in multiple
formats to any device
Display live updatessend alerts to cell phones,
pagers
Sample templates
Tag library(jsps & java beans)
Notification(wap)
PRAJA’s Solution: ExperienceWare
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Rapid Experience Development
ExperienceWareOne Platform... Infinite Possibilities
Knowledge Discovery
Live Experiences
ArchivedExperiences
New Analytic Tools
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PRAJA’s Customers
W3 Search: Contextual Search
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Time Machine - Replay
Trackers
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Visual Contextual ExplorationsVisual Contextual Explorations
Context Visualization
Knowledge Discovery
Insights Building
ExperienceWare:ExperienceWare:A Presentation ModuleA Presentation Module
Experience Capsules: FormingCommunities
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Tomorrow
Conceptual Application:Multiple Perspective Interactive Video
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Conceptual Application:Immersive Viewing
Converging Media
• Individualized Tuners
• Individualized Highlights
• Interactive TV
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PRAJA Enabled TripJoe Cadillac• Likes traveling
• Plays golf
• Loves surfing
• Hates traffic
• Lives in San Diego
ALERT: San Fransisco toSan Diego = 550 miles, takeHighway 101 S.
ALERT: Pebble Beach ProAm: 10:00 AM , Tickets $15.00
ALERT: Central Coastwaves: BIG all afternoon.Water temp: 56 degrees
ALERT: Heavy traffic in LA.Alternate route suggested.
ALERT: Weather in SanDiego: Sunny and warm.
I
PES in2001
PresentationLogic
Praja Event Suite
UserModels
Spatio-TemporalSituation
Personalization Systems
Personalized ExperiencePersonalized Experience
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I
PES in2001
Content Management SystemsContent Management Systems
Media Richness
PRAJAEvent Suite
ContextComplexity
What When Where Who Why
Device Independence andInteractivity
Video
Immersive
Multisensory
Wireless
Unified
Content MgmtSystems
PC
Alpha-Numeric
Research Issues
� Assimilation of disparate data� Unified indexing� Contextual approaches� Presentation for experience
PRAJA is interested in research partnerships.