Tools for Personal Data
       Collection
         Notes
    November 2, 2012
Things I want to track
•   Food and drink I consume
•   Stress Level
•   Ambient sound recordings with transcriptions
•   General noise level around me at all times
•   Ambient photo/video recording
•   What people I am with at any given time
•   Who I've communicated with each day
Things I want to track
• Biking – Strava, Runkeeper, Infer from GPS data
• Emotion tracking – from text posts on Twitter,
  Facebook, etc
• Emotion tracking – explicit – emoome
• Ambient light levels and color temperature –
  circadian rhythm analysis
  – Philips wifi light bulb
  – Flux mac app
• Track what I’m watching/listening to
  – Apple TV, Netflix, Video games
  – FM radio, Soundhound
Things I want to track
• Medical records – connect to mood, food
  consumption
• Spending – credit cards
  – Many memories encoded into the transaction
    history
Friction
• Acquisition - Data collection
• Preservation - How do you connect two
  sources together
• Access - How do you analyze the data and get
  meaning out of it
• How do you manage sharing information
Interfaces
• What would the front-end look like to view
  the raw data?
• Graphs, photos
• What do I want to know about the data?
• Social taboo – weight, taboo, health care
  – What is the benefit of it not being a taboo?
Data Formats
• Collect data in points of time
• Stream data
OAIS
Data Preservation
• Keep the original data
  – What media is it on?
  – What format is it in?
• Make versions of it accessible
  – Screenshots
  – Plain text
• Conversion vs Emulation
Data Collection Issues
• Hard to keep track of where all the data is
• Find an app that specializes in tracking one
  thing, but then would forget about the app
  that tracks your water intake
@skjonas
• For passive tracking, uses individual apps
• For manually entering things, uses Bento
  (made by Filemaker), a general database app
Personal Data Collection Breakout Session Notes

Personal Data Collection Breakout Session Notes

  • 1.
    Tools for PersonalData Collection Notes November 2, 2012
  • 2.
    Things I wantto track • Food and drink I consume • Stress Level • Ambient sound recordings with transcriptions • General noise level around me at all times • Ambient photo/video recording • What people I am with at any given time • Who I've communicated with each day
  • 3.
    Things I wantto track • Biking – Strava, Runkeeper, Infer from GPS data • Emotion tracking – from text posts on Twitter, Facebook, etc • Emotion tracking – explicit – emoome • Ambient light levels and color temperature – circadian rhythm analysis – Philips wifi light bulb – Flux mac app • Track what I’m watching/listening to – Apple TV, Netflix, Video games – FM radio, Soundhound
  • 4.
    Things I wantto track • Medical records – connect to mood, food consumption • Spending – credit cards – Many memories encoded into the transaction history
  • 5.
    Friction • Acquisition -Data collection • Preservation - How do you connect two sources together • Access - How do you analyze the data and get meaning out of it • How do you manage sharing information
  • 6.
    Interfaces • What wouldthe front-end look like to view the raw data? • Graphs, photos • What do I want to know about the data? • Social taboo – weight, taboo, health care – What is the benefit of it not being a taboo?
  • 7.
    Data Formats • Collectdata in points of time • Stream data
  • 8.
  • 9.
    Data Preservation • Keepthe original data – What media is it on? – What format is it in? • Make versions of it accessible – Screenshots – Plain text • Conversion vs Emulation
  • 10.
    Data Collection Issues •Hard to keep track of where all the data is • Find an app that specializes in tracking one thing, but then would forget about the app that tracks your water intake @skjonas • For passive tracking, uses individual apps • For manually entering things, uses Bento (made by Filemaker), a general database app