concepts of immersive intelligence
DESCRIPTION
Workshop for FCVW May 2010TRANSCRIPT
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Concepts and Practices of Immersive Intelligence
Dr. Richard HackathornBolder Technology, Inc.
Federal Consortium for Virtual Worlds 2010
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ThinkBalm Innovation Community◦ Erica and Sam Driver, http://www.thinkbalm.com/ ◦ http://www.linkedin.com/groups?gid=2005729
Immersive Intelligence Colleagues◦ Meet-and-Greet event in Aug 2009◦ Website http://IM-TEL.org/ ◦ Open community under Creative Commons◦ Register here! Join us for coffee on Tuesdays
NOTE: Slides at http://IM-TEL.org/ under Blog
How we got started…
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Immersive Intelligence: What and Why?◦ Elevator pitch in 30 seconds!
Realistic business-oriented assessment◦ Emerging technology; unproven use case◦ When and how . . . for what expected benefit
Motivated to jump in-world and contribute!
Workshop Objectives
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A. Why? So, What?B. Sharing A VisionC. Places to Visit & Things to LearnD. Putting It TogetherE. What’s Next?
Overview
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Not your grandmother’s pie chart!What are we trying to accomplish?Hard ProblemsComplex SystemsBig Data
A. Why? So, What?
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Not your grandma’s pie chart!
© Getty Images. Used with Permission
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Complex Systems
BigData
Hard Problems
What Problems Are We Solving?
We Are
Here!
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No quick answersNo ‘right’ answersConflicting prioritiesMany valid opinions and perspectivesLeveraging the Wisdom of the Crowd
Managed Muddling
What are Hard Problems?
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Non-intuitive behavior◦ Often full of surprises
Tipping points◦ When you least expect them
Feedback LoopsExponential Behavior
◦ Will hit the wall… with certainty Small World effects
◦ Phase transitions from one state
What are Complex Systems?
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History of Complex Systems
SystemsDynamics
Cybernetics
ArtificialIntelligence
Science Of Networks
ChaosTheory
ComplexityScience
http://en.wikipedia.org/wiki/Complex_systems
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Stable System Chaotic System
Will Wright at GameTech 2010http://www.slideshare.net/guesta79ddf9/orando2010-5
Complex Systems are Chaotic
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Clocks versus Clouds
Karl Popperhttp://en.wikipedia.org/wiki/Karl_Popper
highly irregular, disorderly,
and more or less
unpredictable
regular, orderly, and predictable
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Focusing on technology (MPP, MapReduce, Hadoop)
What is Big Data?
The Economist, Feb 25, 2010
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Volume – Yes, but…◦ More than we can store!◦ Can we ever touch each bit?
Velocity◦ Data in motion new types of analysis◦ What is important to capture? Context?
Variety◦ Many types of data! …like network graphs
Analytics are a necessity!◦ Can not touch all the atomic level data!
What is Big Data?
The Economist, Feb 25, 2010
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Imagine virtual space Imagine virtual objectsImagine virtual teamsImagine scaling sizeImagine scaling timeImagine scaling probability
B. Sharing A Vision
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Imagine Virtual Space
Vast canvas spanning kilometersPersistent and always on
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…with rich features, such as texture, lightning, shadow, shininess, etc
Imagine Virtual Objects
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Sharing experiences & common perspectives
Understanding the root cause of problemsGenerating & prioritizing alternative
solutionsExecuting on action plans
Imagine Virtual Teams
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From the very small to the very large
Imagine Scaling Size
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From the very fast to the very slow
Imagine Scaling Time
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From the certain to the highly improbable (and unimaginable)
Imagine Scaling Probability
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1. Immersive Intelligence Park on Second Earth 6
2. Chakryn Forest by Bettina Tizzy and others◦ beautiful and complex => data forest
3. Real-time weather display on NOAA Meteora◦ Data feed from NWS, updated every 5 min
4. Daden Datascape by David Burden5. Ben Lindquist of Green Phosphor
◦ Tools to graph data in several virtual worlds
6. Data Sculptures by Ann Cudworth at Beach Ride
C. Places To Visit & Things To Learn
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7. Death and Taxes by Eric Hackathorn8. Chromutate by Opensource Obscure
◦ Fanciful objects with playful behaviors
9. Mars Victoria Crater on NASA Explorer Island◦ Largest sculpted build
10.Wind Simulator by comet Morigi◦ Creative use of particles
11.Asteroid strike on Mars by the Exploratorium◦ Large-scale complex simulation; getting the physics
correct
12.Svarga ecosystem as the “God Game”◦ http://nwn.blogs.com/nwn/2006/05/god_game.html
C. Places To Visit & Things To Learn
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NOAA Real-Time Weather
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Exciting and insightful way of visualizing and analyzing data◦ Using GreenPhosphor’s GlassHouse Gateway
Richness of Expression◦ More than 3D
Ben Lindquist of Green Phosphor
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Hovering between Art and ScienceThe Spirit of the Data
◦ …listening and being one with the dataART + TOI Engagement
Ann Cudworth
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Immersive Intelligence is an ApproachLevels of Immersive IntelligenceImmersion is the Secret SauceArchitecture
D. Putting It Together
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It is an Approach◦ Not a tool, not a methodology,
Collaborative data-driven decision process for understanding and managing complex systems using immersive virtual spaces
Subject to continual change!
Actionable information◦ What do you do
with what you know?◦ plus the means to execute
Immersive Intelligence
http://www.flickr.com/photos/arandalasch/3193076760/
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Levels of Immersive Intelligence
1
Observe 2
Experiment 3
Collaborate 4
Manage Watch the model from various perspectives
X X X X
Change input parameters of model and observe changes
X X X
Collaboration among multiple persons with proper tools
X X
Change parameters to both virtual and physical systems and observe changes in both
X
R. Hackathorn, Serious Games in Virtual Worlds, 2007http://www.BeyeNETWORK.com/channels/1217/view/4163
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You are there … surrounded by others◦ Feels as an actor inside, rather than observer
outsideAnalogy: Snorkeling versus SCUBA
Immersion is the Secret Sauce
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Architecture - A
Complex SystemIn Physical World
Databases DescribingThe System
Abstraction ofComplex SystemIn Virtual World
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Architecture - B
Databases DescribingThe System
Abstraction ofComplex SystemIn Virtual World
Shape Definer
Configure
DataPump
WorldDesigne
r
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DW Appliances as VW Backends
IBM Smart Analytics System
Teradata DW Appliance
Netezza Twin-Fin
Sun Oracle Database Machine
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Need for an open “community of practice”◦ By sharing information and experiences, learn from each other
and develop the skills needed ◦ Methodically pool knowledge…by wiki-izing◦ Need a diverse array of skills and experiences◦ Too many engineer-types; need more artists!
Foster learning and innovation◦ Provide a low barrier to that “Hello, World” experience◦ Facilitate that “A-ha… I get it!” experience
Got a start with the IM-TEL community◦ Contribute, share, and leverage…at IM-TEL.org◦ Share alike with Creative Commons with Attribution
E. What’s Next?
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Sponsor contests within SL community◦ Focus on data visualization◦ How best to illustrate clustering or decision trees?
Engage in Proof-of-Concept projects to…◦ Surface the issues and roadblocks◦ Demonstrate the benefits
Offering 2-day custom workshop◦ Bring your team to common ground◦ Assess the business justification
for specific use case
E. What’s Next?
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Immersive Intelligence: What and Why?◦ Elevator pitch in 30 seconds!
Realistic business-oriented assessment◦ Emerging technology; unproven use case◦ When and how . . . for what expected benefit
Motivated to jump in-world and contribute!
Workshop Objectives-Revisited