the light @ 99th - data-driven storytelling - sva - summer 2013
DESCRIPTION
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.TRANSCRIPT
THE LIGHT @ 99THA Digital Song Story™
Hilla Katki - SVA Info Visualization - 2013 Summer Intensive - IxD Dept.
WORK IN PROGRESS
© 2013 - MediaGroove LLC
Question I started this class with:
How can data visualization help music & media artists tell more
compelling thematic stories?
THEMES The Light @ 99th is a song about WORK -
and the DAILY COMMUTE is a theme that many can relate to
©MediaGroove LLC - 2013
The Light @ 99thAs 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::
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.
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
Result: A mash-up of conventional and data-driven storytelling
USE SOUND AND VISUALS connected to DATA about COMMUTING to BRING COMMUTER STORIES TO LIFE
CONCEPT
DATA SOURCESCommuter Rail Into Manhattan - Time Tables / Ridership by Hour
“Workers who live in New York 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
AUDIO PARAMETERS1. 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.
AUDIO SOURCING
From Pro Tools, the individual tracks were saved as sound loops
STORYBOARDING PROCESSBlending conventional narrative with data-driven storytelling
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 FROM THE TRACKS OF THE 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
Embedding data points into animation and live video
SONG STORY DATA POINTS
FACTS ABOUT METRO NORTH RIDERSHIP WILL BE EMBEDDED AS HOTSPOTS
THANK YOUWORK IN PROGRESS
© 2013 - MediaGroove LLC