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The Light @ 99th - data-driven storytelling - SVA - summer 2013
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The Light @ 99th - data-driven storytelling - SVA - summer 2013

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As a digital storyteller, producer and co-songwriter of the Digital Song Story(tm) "The Light @ 99th" - I have a goal to expand the scope of the conventional (and nearly exhausted) music video medium …

As a digital storyteller, producer and co-songwriter of the Digital Song Story(tm) "The Light @ 99th" - I have a goal to expand the scope of the conventional (and nearly exhausted) music video medium to become more immersive, more engaging and multidimensional. In July 2013 - I took a data visualization course from the School of Visual Arts in NYC. The question I started the class with was: How can data visualization help music & media artists tell more compelling thematic stories? This deck is a low-to-medium-fidelity prototype of how I intend to expand the storyworld of my Digital Song Story(tm) partly through data visualization and interaction design.

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  • 1. THE LIGHT @ 99TH A Digital Song Story™ Hilla Katki - SVA InfoVisualization - 2013 Summer Intensive - IxD Dept. WORK IN PROGRESS © 2013 - MediaGroove LLC
  • 2. Question I started this class with: How can data visualization help music & media artists tell more compelling thematic stories?
  • 3. THEMES The Light @ 99th is a song about WORK - and the DAILY COMMUTE is a theme that many can relate to
  • 4. ©MediaGroove LLC - 2013 The Light @ 99th As our lives revolve around work and the demands of work on our waking hours, the time spent commuting to the office is the land of daydream for some – and dread for others. As seasons race pass during the limbo of transit – gazing out the window at hours of our life we’ll never get back – what does our daily path tell us about who we are? Digital Song Story #1 Play it::
  • 5. GOAL Build a immersive, interactive and responsive web experience - using HTML 5,WebGL, conventional video and animation - blended with great interaction design, and data-driven storytelling.
  • 6. THAT’S 1.6 MILLION STORIES From the macro-view to the individual journey - how can we capture and share these experiences? Every business day, Manhattan swells with 1.6million work commuters* *Source - American Community Survey - US Census 2010 WORK & COMMUTING
  • 7. Result:A mash-up of conventional and data-driven storytelling USE SOUND ANDVISUALS connected to DATA about COMMUTING to BRING COMMUTER STORIESTO LIFE CONCEPT
  • 8. DATA SOURCES Commuter Rail Into Manhattan -TimeTables / Ridership by Hour “Workers who live in NewYork state show the highest rate of long commutes (defined as 60 minutes or longer) at 16.2 percent, followed by Maryland and New Jersey at 14.8 percent and 14.6 percent, respectively.” Source: Census.gov ›American Community Survey (ACS) › Megacommuters: 600,000 in U.S. Travel 90 Minutes and 50 Miles to Work, and 10.8 Million Travel an Hour Each Way
  • 9. AUDIO PARAMETERS 1. SOURCE: (A) Each transit type is assigned a unique Sound Loop (SL) - derived from individual tracks of the song Light @ 99th. 2. BEHAVIORS: (A) Controls: Each SL is user-controlled, toggle on/off. (B) Data = Amplitude: Each SL’s volume is controlled by hourly ridership. (C) Time Frame/Window: Each transit data source is set to a 24hr. timeline - compressed and mapped against a 2:30 looped clock. (D)Sync: Each SL is Beat-Matched to start on the first bar of a looping 4 bar phrase.
  • 10. AUDIO SOURCING From ProTools, the individual tracks were saved as sound loops
  • 11. STORYBOARDING PROCESS Blending conventional narrative with data-driven storytelling
  • 12. DATA: TIME SPENT Extreme and Average Commute Hours - Converted to Days per Year INTERACTION EACH RAIL LINE WILL BE INTERACTIVE - TRIGGERING A DISCRETE, SYNCHRONIZED SOUND LOOP FROMTHE TRACKS OFTHE SONG Peak commute time: 1:37 X 2 =3:14hr per day X 5= 16:10wk X 48wk = 32.33 commute days per year AUDIO: SIMPLE BUILD OF 7 TRACKS FROM LIGHT @ 99th. NOTE: SONG BEATS AND INSTRUMENTS ARE NOT SYNC’ed in THIS EXAMPLE Timeline will depict ridership over 24 hrs - compressed to 2:30
  • 13. Embedding data points into animation and live video SONG STORY DATA POINTS FACTS ABOUT METRO NORTH RIDERSHIP WILL BE EMBEDDED AS HOTSPOTS THANK YOU WORK IN PROGRESS © 2013 - MediaGroove LLC

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