Concepts of Immersive Intelligence


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Workshop for FCVW May 2010

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  • Clouds at 2: 3:
  • slowly spinning cube that appears huge
  • several complex abstract objects, maybe using Susanne’s creations
  • persons in a conference room viewing a projection screen, taking notes, etc.
  • sub-atomic particles to normal objects to the Earth to galaxies
  • explosion in slow motion to geological formations in rapid motion in June 2004 in the Grand CanyonAlso explosion at
  • beating heart or bottle dropping/breaking on floor… to a 9/11 scene
  • Artistic Delivery of Data + Threshold of Interaction= >>> (greater) Engagement.
  • Concepts of Immersive Intelligence

    1. 1. Concepts and Practices of Immersive Intelligence <br />Dr. Richard Hackathorn<br />Bolder Technology, Inc.<br />Federal Consortium for Virtual Worlds 2010<br />
    2. 2. ThinkBalm Innovation Community<br />Erica and Sam Driver,<br /><br />Immersive Intelligence Colleagues<br />Meet-and-Greet event in Aug 2009<br />Website<br />Open community under Creative Commons<br />Register here! Join us for coffee on Tuesdays<br />NOTE: Slides at under Blog<br />How we got started…<br />
    3. 3. Immersive Intelligence: What and Why?<br />Elevator pitch in 30 seconds!<br />Realistic business-oriented assessment<br />Emerging technology; unproven use case<br />When and how . . . for what expected benefit<br />Motivated to jump in-world and contribute!<br />Workshop Objectives<br />
    4. 4. Why? So, What?<br />Sharing A Vision<br />Places to Visit & Things to Learn<br />Putting It Together<br />What’s Next?<br />Overview<br />
    5. 5. Not your grandmother’s pie chart!<br />What are we trying to accomplish?<br />Hard Problems<br />Complex Systems<br />Big Data<br />A. Why? So, What?<br />
    6. 6. Not your grandma’s pie chart!<br />© Getty Images. Used with Permission<br />
    7. 7. What Problems Are We Solving?<br />We Are Here!<br />
    8. 8. No quick answers<br />No ‘right’ answers<br />Conflicting priorities<br />Many valid opinions and perspectives<br />Leveraging the Wisdom of the Crowd<br />Managed Muddling<br />What are Hard Problems?<br />
    9. 9. Non-intuitive behavior<br />Often full of surprises<br />Tipping points<br />When you least expect them<br />Feedback Loops<br />Exponential Behavior<br />Will hit the wall… with certainty <br />Small World effects<br />Phase transitions from one state<br />What are Complex Systems?<br />
    10. 10. History of Complex Systems<br />Chaos<br />Theory<br />Systems<br />Dynamics<br />Science Of <br />Networks<br />Complexity<br />Science<br />Cybernetics<br />Artificial<br />Intelligence<br /><br />
    11. 11. Stable System<br />Chaotic System<br />Will Wright at GameTech 2010<br /><br />Complex Systems are Chaotic<br />
    12. 12. Clocks versus Clouds<br />regular, orderly, <br />and predictable<br />highly irregular, disorderly, <br />and more or less unpredictable<br />Karl Popper<br /><br />
    13. 13. Focusing on technology (MPP, MapReduce, Hadoop) <br />What is Big Data?<br />The Economist, Feb 25, 2010<br />
    14. 14. Volume – Yes, but…<br />More than we can store!<br />Can we ever touch each bit?<br />Velocity<br />Data in motion  new types of analysis<br />What is important to capture? Context?<br />Variety<br />Many types of data! …like network graphs<br />Analytics are a necessity!<br />Can not touch all the atomic level data!<br />What is Big Data?<br />The Economist, Feb 25, 2010<br />
    15. 15. Imagine virtual space <br />Imagine virtual objects<br />Imagine virtual teams<br />Imagine scaling size<br />Imagine scaling time<br />Imagine scaling probability<br />B. Sharing A Vision<br />
    16. 16. Imagine Virtual Space<br />Vast canvas spanning kilometers<br />Persistent and always on<br />
    17. 17. …with rich features, such as texture, lightning, shadow, shininess, etc<br />Imagine Virtual Objects<br />
    18. 18. Sharing experiences & common perspectives<br />Understanding the root cause of problems<br />Generating & prioritizing alternative solutions<br />Executing on action plans<br />Imagine Virtual Teams<br />
    19. 19. From the very small to the very large<br />Imagine Scaling Size<br />
    20. 20. From the very fast to the very slow<br />Imagine Scaling Time<br />
    21. 21. From the certain to the highly improbable (and unimaginable)<br />Imagine Scaling Probability<br />
    22. 22. Immersive Intelligence Park on Second Earth 6<br />Chakryn Forest by Bettina Tizzy and others<br />beautiful and complex => data forest<br />Real-time weather display on NOAA Meteora<br />Data feed from NWS, updated every 5 min<br />DadenDatascape by David Burden<br />Ben Lindquist of Green Phosphor<br />Tools to graph data in several virtual worlds<br />Data Sculptures by Ann Cudworthat Beach Ride<br />C. Places To Visit & Things To Learn<br />
    23. 23. Death and Taxes by Eric Hackathorn<br />Chromutate by Opensource Obscure<br />Fanciful objects with playful behaviors<br />Mars Victoria Crater on NASA Explorer Island<br />Largest sculpted build<br />Wind Simulator by comet Morigi<br />Creative use of particles<br />Asteroid strike on Mars by the Exploratorium<br />Large-scale complex simulation; getting the physics correct<br />Svarga ecosystem as the “God Game”<br /><br />C. Places To Visit & Things To Learn<br />
    24. 24. NOAA Real-Time Weather<br />
    25. 25. Exciting and insightful way of visualizing and analyzing data<br />Using GreenPhosphor’sGlassHouse Gateway<br />Richness of Expression<br />More than 3D<br />Ben Lindquist of Green Phosphor<br />
    26. 26. Hovering between Art and Science<br />The Spirit of the Data<br />…listening and being one with the data<br />ART + TOI  Engagement<br />Ann Cudworth<br />
    27. 27. Immersive Intelligence is an Approach<br />Levels of Immersive Intelligence<br />Immersion is the Secret Sauce<br />Architecture<br />D. Putting It Together<br />
    28. 28. It is an Approach<br />Not a tool, not a methodology, <br />Collaborative data-driven decision process for understanding and managing complex systems using immersive virtual spaces<br /> Subject to continual change! <br />Actionable information<br />What do you do with what you know?<br />plus the means to execute<br />Immersive Intelligence<br /><br />
    29. 29. Levels of Immersive Intelligence<br />R. Hackathorn, Serious Games in Virtual Worlds, 2007<br /><br />
    30. 30. Immersion is the Secret Sauce<br />You are there … surrounded by others<br />Feels as an actor inside, rather than observer outside<br />Analogy: Snorkeling versus SCUBA<br />
    31. 31. Architecture - A<br />Abstraction of<br />Complex System<br />In Virtual World<br />Complex System<br />In Physical World<br />Databases <br />Describing<br />The System<br />
    32. 32. Architecture - B<br />World<br />Designer<br />Configure<br />Shape Definer<br />Data<br />Pump<br />Databases <br />Describing<br />The System<br />Abstraction of<br />Complex System<br />In Virtual World<br />
    33. 33. DW Appliances as VW Backends<br />IBM Smart <br />Analytics System<br />Teradata <br />DW Appliance<br />Netezza<br />Twin-Fin<br />Sun Oracle <br />Database Machine<br />
    34. 34. Need for an open “community of practice”<br />By sharing information and experiences, learn from each other and develop the skills needed <br />Methodically pool knowledge…by wiki-izing<br />Need a diverse array of skills and experiences<br />Too many engineer-types; need more artists!<br />Foster learning and innovation<br />Provide a low barrier to that “Hello, World” experience<br />Facilitate that “A-ha… I get it!” experience<br />Got a start with the IM-TEL community<br />Contribute, share, and leverage…at<br />Share alike with Creative Commons with Attribution<br />E. What’s Next?<br />
    35. 35. Sponsor contests within SL community<br />Focus on data visualization<br />How best to illustrate clustering or decision trees?<br />Engage in Proof-of-Concept projects to…<br />Surface the issues and roadblocks<br />Demonstrate the benefits<br />Offering 2-day custom workshop<br />Bring your team to common ground<br />Assess the business justification for specific use case<br />E. What’s Next?<br />
    36. 36. Immersive Intelligence: What and Why?<br />Elevator pitch in 30 seconds!<br />Realistic business-oriented assessment<br />Emerging technology; unproven use case<br />When and how . . . for what expected benefit<br />Motivated to jump in-world and contribute!<br />Workshop Objectives-Revisited<br />