Kimi Spencer [email_address] Bone  Shaker DIY Health, Final Proposal | 14 November 2011
“ A state of complete  physical ,  mental , and  social  well-being and not merely the absence of disease or infirmity .” World  Health  Organization
Health for  Me Excitement, delight, and adventure. Absence of boredom; stimulation. Discovering meaningful connections. Joie de vivre .
The Situationist Lived experience over the spectacle . Derive (“t0 drift”) the  spontaneous exploration  of urban landscapes guided by  aesthetic instinct .
Biking and the City Biking is an  urban  phenomena. Specific to cities with a  vibrant cityscape  and  infrastructural support . A tool for  expanded exploration .
Biking and Health “ A Copenhagen study of over 30,000 people ranging in age from 20 to 93 took place over 14.5 years and found that  bike commuting an average of 3 hours per week decreased risk of mortality by about 40%  over the control group that did not bike”   Andersen, 2000
Smallest Target Behavior Bike for 30 minutes per day .
The User Urban  city dweller. 20 to 30  years old. Educated , and  technologically comfortable . Moderately well-off ( can afford a bike and smart phone ). Not an athlete .
The User’s  Ability Safety  issues. Bike paths. Places to lock bikes. Time . Routine . Effort .
Spokes NYC
Ride the City
The User’s  Motivations Social  acceptance /rejection. Biking is cool. Pain /Pleasure. Easily bored by repetition and lazy. Hope /Fear. Desire to get physically fit.
The User’s  Motivations How to bring pleasure? It’s not about exercise, it’s about exploration . How to catalyze hope? Feedback on user’s progression .
Bikes as a Catalyst for Adventure
Classify the Behavior
The Environment Urban landscape, Sound data Temperature data Networks data …  Layers of information
Hertzian Space The  invisible frequencies  that are “pervasive, and though invisible, in some way are present in every aspect of our physical experience”. Both  real  and  imaginary . “ The dreams of electronic objects.”
Immaterials
Wiggle
WarBiking
Second Order Goal Experience the layers of the City though exploration .
Proposal An application that promotes urban biking by  enabling  users, and the  exploration  of the urban landscape in a new, delightful way.
Cybernetic Model
Network Diagram
Triggers Reminders  after inactivity. Suggestions  of places, events, layers, and times to bike. Notifications  on friends’ urban adventures and biking activity.
Mobile, Real-Time Feedback Personal health  data. City  data.
Cyclemeter
Copenhagen Wheel
Aesthetic Artifacts Positive  reinforcement . Sharing  and social perception.
Nike+ Storefront
Mobile Logger
Thank you.

[bone shaker] :: DIY health final

  • 1.
    Kimi Spencer [email_address]Bone Shaker DIY Health, Final Proposal | 14 November 2011
  • 2.
    “ A stateof complete physical , mental , and social well-being and not merely the absence of disease or infirmity .” World Health Organization
  • 3.
    Health for Me Excitement, delight, and adventure. Absence of boredom; stimulation. Discovering meaningful connections. Joie de vivre .
  • 4.
    The Situationist Livedexperience over the spectacle . Derive (“t0 drift”) the spontaneous exploration of urban landscapes guided by aesthetic instinct .
  • 5.
    Biking and theCity Biking is an urban phenomena. Specific to cities with a vibrant cityscape and infrastructural support . A tool for expanded exploration .
  • 6.
    Biking and Health“ A Copenhagen study of over 30,000 people ranging in age from 20 to 93 took place over 14.5 years and found that bike commuting an average of 3 hours per week decreased risk of mortality by about 40% over the control group that did not bike” Andersen, 2000
  • 7.
    Smallest Target BehaviorBike for 30 minutes per day .
  • 8.
    The User Urban city dweller. 20 to 30 years old. Educated , and technologically comfortable . Moderately well-off ( can afford a bike and smart phone ). Not an athlete .
  • 9.
    The User’s Ability Safety issues. Bike paths. Places to lock bikes. Time . Routine . Effort .
  • 10.
  • 11.
  • 12.
    The User’s Motivations Social acceptance /rejection. Biking is cool. Pain /Pleasure. Easily bored by repetition and lazy. Hope /Fear. Desire to get physically fit.
  • 13.
    The User’s Motivations How to bring pleasure? It’s not about exercise, it’s about exploration . How to catalyze hope? Feedback on user’s progression .
  • 14.
    Bikes as aCatalyst for Adventure
  • 15.
  • 16.
    The Environment Urbanlandscape, Sound data Temperature data Networks data … Layers of information
  • 17.
    Hertzian Space The invisible frequencies that are “pervasive, and though invisible, in some way are present in every aspect of our physical experience”. Both real and imaginary . “ The dreams of electronic objects.”
  • 18.
  • 19.
  • 20.
  • 21.
    Second Order GoalExperience the layers of the City though exploration .
  • 22.
    Proposal An applicationthat promotes urban biking by enabling users, and the exploration of the urban landscape in a new, delightful way.
  • 23.
  • 24.
  • 25.
    Triggers Reminders after inactivity. Suggestions of places, events, layers, and times to bike. Notifications on friends’ urban adventures and biking activity.
  • 26.
    Mobile, Real-Time FeedbackPersonal health data. City data.
  • 27.
  • 28.
  • 29.
    Aesthetic Artifacts Positive reinforcement . Sharing and social perception.
  • 30.
  • 31.
  • 32.

Editor's Notes

  • #2 Measurement, psychology, urban/city
  • #4 “ layer of the poetic” to the system (make it human) How can this data be most effectively represented?
  • #5 “ layer of the poetic” to the system (make it human) How can this data be most effectively represented?
  • #6 “ layer of the poetic” to the system (make it human) How can this data be most effectively represented?
  • #7 “ layer of the poetic” to the system (make it human) How can this data be most effectively represented?
  • #8 “ layer of the poetic” to the system (make it human) How can this data be most effectively represented?
  • #9 “ layer of the poetic” to the system (make it human) How can this data be most effectively represented?
  • #17 “ layer of the poetic” to the system (make it human) How can this data be most effectively represented?
  • #18 “ layer of the poetic” to the system (make it human) How can this data be most effectively represented?
  • #22 MAKE THIS SIMPLER. Space and emotion… Affect of the city on the psyche… Serendipity 
  • #23 MAKE THIS SIMPLER. Space and emotion… Affect of the city on the psyche… Serendipity 
  • #31 overlay