View
963
Download
1
Category
Tags:
Preview:
DESCRIPTION
Workshop for FCVW May 2010
Citation preview
Concepts and Practices of Immersive Intelligence
Dr. Richard HackathornBolder Technology, Inc.
Federal Consortium for Virtual Worlds 2010
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…
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
A. Why? So, What?B. Sharing A VisionC. Places to Visit & Things to LearnD. Putting It TogetherE. What’s Next?
Overview
Not your grandmother’s pie chart!What are we trying to accomplish?Hard ProblemsComplex SystemsBig Data
A. Why? So, What?
Not your grandma’s pie chart!
© Getty Images. Used with Permission
Complex Systems
BigData
Hard Problems
What Problems Are We Solving?
We Are
Here!
No quick answersNo ‘right’ answersConflicting prioritiesMany valid opinions and perspectivesLeveraging the Wisdom of the Crowd
Managed Muddling
What are Hard Problems?
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?
History of Complex Systems
SystemsDynamics
Cybernetics
ArtificialIntelligence
Science Of Networks
ChaosTheory
ComplexityScience
http://en.wikipedia.org/wiki/Complex_systems
Stable System Chaotic System
Will Wright at GameTech 2010http://www.slideshare.net/guesta79ddf9/orando2010-5
Complex Systems are Chaotic
Clocks versus Clouds
Karl Popperhttp://en.wikipedia.org/wiki/Karl_Popper
highly irregular, disorderly,
and more or less
unpredictable
regular, orderly, and predictable
Focusing on technology (MPP, MapReduce, Hadoop)
What is Big Data?
The Economist, Feb 25, 2010
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
Imagine virtual space Imagine virtual objectsImagine virtual teamsImagine scaling sizeImagine scaling timeImagine scaling probability
B. Sharing A Vision
Imagine Virtual Space
Vast canvas spanning kilometersPersistent and always on
…with rich features, such as texture, lightning, shadow, shininess, etc
Imagine Virtual Objects
Sharing experiences & common perspectives
Understanding the root cause of problemsGenerating & prioritizing alternative
solutionsExecuting on action plans
Imagine Virtual Teams
From the very small to the very large
Imagine Scaling Size
From the very fast to the very slow
Imagine Scaling Time
From the certain to the highly improbable (and unimaginable)
Imagine Scaling Probability
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
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
NOAA Real-Time Weather
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
Hovering between Art and ScienceThe Spirit of the Data
◦ …listening and being one with the dataART + TOI Engagement
Ann Cudworth
Immersive Intelligence is an ApproachLevels of Immersive IntelligenceImmersion is the Secret SauceArchitecture
D. Putting It Together
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/
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
You are there … surrounded by others◦ Feels as an actor inside, rather than observer
outsideAnalogy: Snorkeling versus SCUBA
Immersion is the Secret Sauce
Architecture - A
Complex SystemIn Physical World
Databases DescribingThe System
Abstraction ofComplex SystemIn Virtual World
Architecture - B
Databases DescribingThe System
Abstraction ofComplex SystemIn Virtual World
Shape Definer
Configure
DataPump
WorldDesigne
r
DW Appliances as VW Backends
IBM Smart Analytics System
Teradata DW Appliance
Netezza Twin-Fin
Sun Oracle Database Machine
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?
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?
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
Recommended