EventWeb towards Experiential Computing 100927

RAMESH JAIN JAIN@ICS.UCI.EDU (FACEBOOK, TWITTER: JAIN49) WITH SEVERAL COLLABORATORS Royal Society: Web Science © Ramesh Jain1

Life = Experiences (Events) Royal Society: Web Science © Ramesh Jain2

The Story of Human Civilization is the Story of Experiential Communication among Humans. Sharing Experiences Re-living Experiences Recording Experiences Learning from Experiences Royal Society: Web Science © Ramesh Jain3

Communicating Experiences: History Sharing: Languages Making it Portable: Paper Across Time: Writing Instantaneous Instantaneous Democratization: Remote: Remote: Moveable Print Telegraph Speech Royal Society: Web Science © Ramesh Jain4

Communicating Experiences: History Recording: Visual Live Broadcast Electrical Audio Recording Live broadcast: WWW: All in one Video Digital Processing Royal Society: Web Science © Ramesh Jain5

Communicating Experiences: Spatial and Temporal Inventions Application Impact Languages Communicate symbolic experiences Written Languages Record Symbolic experiences (time) Paper Portability (space) Most influential Print Mass distribution (time and space) Invention in history so far. Telegraph Remote narrow communication (space) Telephone Remote analog communication (space) Radio Analog broadcasting of sound (space) Television Combining two senses – media (space) Recording media Photos, audio, video (time) Digital processing Machine enhancement and processing Future of Internet Interactive Multimedia communication Communication Royal Society: Web Science © Ramesh Jain6

Computing: Relatively young, but growing faster than anything else, ever. Royal Society: Web Science © Ramesh Jain7

Computing 1: Data  Device: Mainframe and workstations  Main applications:  Scientific and engineering  Business  Users:  Sophisticated  Expected to be trained Royal Society: Web Science © Ramesh Jain8

Computing 2: Information and Communication  Device: PC and Internet  Main applications:  Information  Communication  Users:  Common people in „developed world‟  Easy access using keyboards Royal Society: Web Science © Ramesh Jain9

Computing 3: Experience  Device: Mobile phones  Main applications:  Experiential communication  Experience management  Users:  Humans  No language issues In 2010, about 75% of World population will use Mobiles. Royal Society: Web Science © Ramesh Jain10

Mobile Phone Was an Event Notification Device Has now become an Event Sharing device Royal Society: Web Science iReports of gas explosion © Ramesh Jain11

Evolution of Web: Documents, Data, Events  Document created by Humans.  Text, Music, Movies  Data collected by Humans  Photos, Audio, …  Events happen.  Most documents describe events and objects in those.  Most data is collected for events. Royal Society: Web Science © Ramesh Jain12

Copernican Revolution in Computing Who is the King: Content (Data) or User? Royal Society: Web Science © Ramesh Jain13

Content (Data) is the King. Royal Society: Web Science © Ramesh Jain14

Lot of information is there. But, do we get what we want? Jay Stanley wins the A terrible airplane crash Andrew Strauss MVP of the game. in Timbuktu. More than hits a Century – Again. 300 casualties. England wins. Which will be on BBC and all Newspapers? Which News is really important? Jay is my grand-son. Does that change priorities? Royal Society: Web Science © Ramesh Jain15

Gutenberg’s influence may be ending. The Web is taking us towards Personalized Experiences  Personal Media  Personalized News  Personalized Alerts Right Information Right Time Right Place Royal Society: Web Science © Ramesh Jain16

Desirable: You are the King. Royal Society: Web Science © Ramesh Jain17

Events take place in the real world. Events result in Data and Documents Royal Society: Web Science © Ramesh Jain18

Tsunami 2004 Experiential Data Reports on the event Visualization using data Royal Society: Web Science © Ramesh Jain19

Events are ‘Connectors’ Events create ‘Context’ People Structural Temporal Things Places Causal SpatialTime Experiences Experiential Informational Events Royal Society: Web Science © Ramesh Jain20

Facebook and Twitter Reporting events as micro-blogs Massive collection of events. Facebook reports 20 Billion updates – 3 Billion Photos – each month. Royal Society: Web Science © Ramesh Jain21

Events are currently just a time- indexed database. Time Royal Society: Web Science © Ramesh Jain22

Events usually cause domino effect. Does the flap of a butterfly‟s wings in Brazil set off a tornado in Texas? Royal Society: Web Science © Ramesh Jain23

From Micro Events to Situations From Tweets to Revolutions Royal Society: Web Science © Ramesh Jain24

EventWeb: Compositing and Linking Atomic and Composite Events Time Royal Society: Web Science © Ramesh Jain25

Lets Consider Three different scenarios  Personal Media Management  Memories for Life; LifeLog, …  Situation Detection and Control  Real Time Web  Middle of the Pyramid  Bringing the digital dividend to all people Royal Society: Web Science © Ramesh Jain26

We are in the midst of the greatest Media Explosion. Royal Society: Web Science © Ramesh Jain27

Dealing with Photo Explosion  3 Billion Photos uploaded on Facebook – every month.  We know that most people in the world are not yet addicted to the Web, but do take photos. Royal Society: Web Science © Ramesh Jain28

Meta Data for photos = Event Data Royal Society: Web Science © Ramesh Jain29

You bring 1000 photos from a trip, and upload them, and the system does the rest. E [<05-25-10:11-05-00>, <05-30-10:11-20-00>]  The trip last 6 days 05-2010 25 26 27 28 29 30 31 time 11:05:00 11:10:24 10:05:00 11:20:00 10:11:05 11:05:00 11:08:23 10:05:02 11:09:03 10:11:08 e1000 e1001 e1002 e1 e2 ... e98 e99 e100 ... e498 e499 e500 ... e998 e999 <39.25.., 161.256…> <39.25.., 161.256…> <39.25.., 161.256…> <40.32.., 162.256…> <40.32.., 162.256…> <05-25-10:11-08-23> <05-25-10:11-10-24> <40.33.., 162.256…> <40.32.., 162.256…> <37.11.., 70.256…> <37.11.., 70.256…> <37.11.., 70.256…> <05-25-10:11-05-00> <05-26-10:10-05-00> <05-26-10:10-05-02> <person: “p1”> <person: “p1”> <person: “p1”> <05-26-10:11-09-03> <05-26-10:11-20-00> <05-30-10:11-05-00> <05-30-10:11-08-00> <05-30-10:11-20-00> <person: “p2”> <person: “p1”> <person: “p1”> <person: “p1”> … … <person: “p1”> <person: “p1”> <person: “p1”> <person: “p1”> … <person: “p2”> <person: “p2”> <person: “p2”> … … … <person: “p2”> <person: “p2”> <person: “p2”> <person: “p2”> … … … … 30 Royal Society: Web Science © Ramesh Jain30

Experiential Composition E [<05-25-10:11-05-00>, <05-30-10:11-20-00>]  The trip last 6 days 05-2010 25 26 27 28 29 30 31 time 11:05:00 11:10:24 10:05:00 11:20:00 10:11:05 11:05:00 11:08:23 10:05:02 11:09:03 10:11:08 e1000 e1001 e1002 e1 e2 ... e98 e99 e100 ... e498 e499 e500 ... e998 e999 <39.25.., 161.256…> <39.25.., 161.256…> <39.25.., 161.256…> <40.32.., 162.256…> <40.32.., 162.256…> <05-25-10:11-08-23> <05-25-10:11-10-24> <40.33.., 162.256…> <40.32.., 162.256…> <37.11.., 70.256…> <37.11.., 70.256…> <37.11.., 70.256…> <05-25-10:11-05-00> <05-26-10:10-05-00> <05-26-10:10-05-02> <person: “p1”> <person: “p1”> <person: “p1”> <05-26-10:11-09-03> <05-26-10:11-20-00> <05-30-10:11-05-00> <05-30-10:11-08-00> <05-30-10:11-20-00> <person: “p2”> <person: “p1”> <person: “p1”> <person: “p1”> … … <person: “p1”> <person: “p1”> <person: “p1”> <person: “p1”> … <person: “p2”> <person: “p2”> <person: “p2”> … … … <person: “p2”> <person: “p2”> <person: “p2”> <person: “p2”> … … … … 31 Royal Society: Web Science © Ramesh Jain31

Automatic Event-Based organization Informational Composition 11 participants E [<05-25-10:11-05-00>, <05-30-10:11-20-00>]  The trip last 6 days 05-2010 25 26 27 28 29 30 31 time 11:05:00 11:10:24 10:05:00 11:20:00 10:11:05 11:05:00 11:08:23 10:05:02 11:09:03 10:11:08 8 participants 6 participants ≤6 4 participants ≤ 6 e1000 e1001 e1002 e1 e2 ... e98 e99 e100 ... e498 e499 e500 ... e998 e999 <39.25.., 161.256…> <39.25.., 161.256…> <39.25.., 161.256…> <40.32.., 162.256…> <40.32.., 162.256…> <05-25-10:11-08-23> <05-25-10:11-10-24> <40.33.., 162.256…> <40.32.., 162.256…> <37.11.., 70.256…> <37.11.., 70.256…> <37.11.., 70.256…> <05-25-10:11-05-00> <05-26-10:10-05-00> <05-26-10:10-05-02> <person: “p1”> <person: “p1”> <person: “p1”> <05-26-10:11-09-03> <05-26-10:11-20-00> <05-30-10:11-05-00> <05-30-10:11-08-00> <05-30-10:11-20-00> <person: “p2”> <person: “p1”> <person: “p1”> <person: “p1”> … … <person: “p1”> <person: “p1”> <person: “p1”> <person: “p1”> … <person: “p2”> <person: “p2”> <person: “p2”> … … … <person: “p2”> <person: “p2”> <person: “p2”> <person: “p2”> … … … … 32 Royal Society: Web Science © Ramesh Jain32

Urgent Challenge: Real Time Web  Result of exponential growth in connectivity and sensors. Royal Society: Web Science © Ramesh Jain33

Micro-blogs: Twitter  Each Tweet:  Used to be: What are you doing  Now it is: What’s happening  Really an event reported by Humans  Can associate experiential data along with information.  Time and location associated with each Tweet Royal Society: Web Science © Ramesh Jain34

Micro-events: Sensors detecting and chirping (broadcasting) events  Billions of disparate kinds of sensors being placed everywhere.  Each sensor detects ‘basic events’ and broadcasts it in a simple form.  Develop a system to process these microevents and make them useful. Royal Society: Web Science © Ramesh Jain35

From micro events to situations Thermodynamics provides a framework for relating the microscopic properties of individual atoms and molecules to the macroscopic or bulk properties of materials that can be observed in everyday life. Royal Society: Web Science © Ramesh Jain36

Example: Cameras in a city  ‘Chirps’ could be of different types  Define behaviors like:  Heavy traffic  Popular event going on  People leaving X area  Violence starting  ...  Use for Macro-behvior analysis Royal Society: Web Science © Ramesh Jain37

Situation Detection and Control Inform ation Aggregation Situation Alerts and Detection Composition Queries Royal Society: Web Science © Ramesh Jain38

Emage: Event Image  Divide space (world) into small Pixels of appropriate size.  Assume that each event is a particle of a specific type. Create a Social Image for specific type of events.  A time-ordered sequence of these emages will be similar to a video representing spatio- temporal changes in events of that type. Royal Society: Web Science © Ramesh Jain39

Swine flu social image and its segmentation into ‘high’ and ‘low ’activity zones. Royal Society: Web Science © Ramesh Jain44

Situational Recommendation System Macro situation Alert Level=High Date=12/09/10 Micro event Situational e.g. “Arrgggh, I Control Action controller have a sore “Please visit throat” nearest CDC •Goal (Loc=New center at 4th St •Macro Situation York, Date=12/09 immediately” •Rules /10) Level 1 personal threat + Level 3 Macro threat -> Immediate action Royal Society: Web Science © Ramesh Jain45

The World: Technology Perspective Most attention by Top 1.5 Technologists – so far. Billion Middle 3 Billion Middle of the Pyramid (MOP): Ready, BUT … Bottom 2 Billion Not Ready Royal Society: Web Science © Ramesh Jain48

Highest Bang for the Buck: Tech for the Middle of the Pyramid Direct the innovation and R&D towards the needs of the World’s middle class – the Middle of the Pyramid (MOP). Expand the Middle to cover the Bottom. Royal Society: Web Science © Ramesh Jain49

HEATSNetworks Health Education Agriculture Transportation Social For addressing all life elements. Royal Society: Web Science © Ramesh Jain50

Situational Control HEATS = + Social Networks Situation Microblogs Detection/ Control Awareness MicroEvents / Education Experiential WWW Comm. Royal Society: Web Science © Ramesh Jain51

mKRISHITM: A Personalized Agro-Advisory Services For Rural Farmers 3. Parse information and retrieve accurate advice consolidation 4. Prepare Data unit and send SMS in local Language. 2. Consolidate Agriculture expert database 1. Sensors collect soil data 5. SMS to farmer in local language Royal Society: Web Science 5 © Ramesh Jain53

Use Mobile Phones – no text – for interactions • • • Used by more than 5,000 Farmers in remote areas in India. Developed by TCS. Royal Society: Web Science © Ramesh Jain54

Expert Console Info specific From public to crop website Sensor data – if applicable Voice query Ready references for expert Picture Royal Society: Web Science © Ramesh Jain55

Future of the Web: Personalized Experiences for Everybody  Event Based  Experience Centric  Centered around YOU  No Country Left Behind Royal Society: Web Science © Ramesh Jain56

EventWeb towards Experiential Computing 100927

by Ramesh Jain on Oct 31, 2010

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EventWeb towards Experiential Computing 100927 — Presentation Transcript