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Digital Traces and Trails: Extracting Intelligence from the Collective Interactions of Web and Mobile Users   Dave King HICSS-44 Tutorial January 5, 2010
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Pop Quiz
Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proliferation of Traces & Trails ,[object Object]
Where there's data … ,[object Object]
Digital Trails: Their Value & Misuse ,[object Object],[object Object]
Digital Traces and/or Trails: Informal Definitions ,[object Object],[object Object]
Digital Traces & Trails: Intention Unintentional Intentional Lifelogging Everyday Acts Interactions on Social  Media/Networks
Lifelogging Steve Mann (the world’s first cyborg) – Cyborglogging (wearcam.org/netcam.html) Jennifer Ringley – Lifecasting thru  the JenniCam (1996-2003)  Mitch Maddox (aka  DotComGuy) – 2002  Daniel P.W. Ellis Audio Lifelogging (2005-2007) Lisa Emily Batey– Lifecasting from Tokyo thru  the Justin.tv (2007)
Lifelogging: MyLifeBits – Gordon Bell “ I’m losing my mind… By the way so are you.” “ Soon… you will have the capacity for Total Recall. You will be able to summon up everything you have ever see, heard, or done  And you will be in total control, able to retrieve as much or as little as you want at any given time.”
Total Recall: Reminiscent of the Memex “ A memex is a device in which an individual stores all his books, records, and communications, and which is mechanized so that it may be consulted with exceeding speed and flexibility.” Vannevar Bush (1945)
Total Recall: SenseCam research.microsoft.com/en-us/um/cambridge/projects/sensecam/ www.businessweek.com/magazine/content/09_37/b4146051036364.htm
MyLifeBits: The Research Project MyLifeBits store database Voice annotation tool Text annotation tool Telephone capture tool TV capture tool TV EPG download tool Radio capture & EPG PocketPC transfer tool PocketRadio player Import files MyLifeBits Shell files Legacy applications Browser tool Internet IM capture MAPI interface Legacy email client GPS import & Map display SenseCam Screen saver
Total Recall: Gordon Bell’s Trove
Total Recall: The 1 TB Life ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Total Recall: The Benefits ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Life Recorders ,[object Object]
Digital Traces: How much is a free smartphone worth? In the fall of 2008, 100 undergraduate students living in Random Hall at M.I.T. agreed  for one year  to swap their privacy for free smartphones in exchange for participating in a n MIT study aimed at understanding the impact of social interaction on social diffusion. When the participating students dialed other students, sent e-mails, or listened to songs the researchers knew…Every moment the students had their Windows Mobile smartphones with them, the researchers knew where they were and who was nearby.  [ Translated into 350,000 hours of data – e.g. 65,000 phone calls, 25,000 SMS messages, 3.3 million scanned bluetooth devices and 2.5 million scanned 802.11 WLAN APs]
Reality Mining: Human Dynamics Group
Reality Mining: Human Dynamics Group
Sociometric Badges: Modeling Workplace Interaction ,[object Object],[object Object],[object Object],hd.media.mit.edu/badges/
Reality Mining: Results ,[object Object],[object Object],senseable.mit.edu/engagingdata/papers/ED_SIII_Reality_Mining_and_Personal_Privacy.pdf
Social Media Landscape http://www.briansolis.com/2008/08/introducing-conversation-prism/ Unintentional Intentional Lifelogging Everyday Acts Interactions on Social  Media/Networks
Universal McCann Survey of Social Media Usage, Attitudes & Interests Wave 1 15 Countries 7500 Internet  Users 9/06 Wave 2 21 Countries 10000 Internet  Users 6/07 Wave 3 29 Countries 17000 Internet  Users 3/08 Wave 4 38 Countries 23000 Internet  Users 3/09 ,[object Object],[object Object]
Universal McCann Survey: All Social Media have grown over the 4 Waves
Universal McCann Survey: Social Networks Note: There are variations in the absolute numbers of users
Universal McCann Survey Trends ,[object Object],[object Object],[object Object]
Type of Profile Information (e.g. Facebook) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information Revelation on Facebook (4000 CMU Students) Information Revelation and Privacy in Online Social Networks. ACM Workshop on Privacy in the Electronic Society 2005. Ralph Gross - Alessandro Acquisti.
Key Social Network Activities
1% Rule (or something like that) 434 It's an emerging rule of thumb that suggests that if you get a group of 100 people online then one will create content, 10 will "interact" with it (commenting or offering improvements) and the other 89 will just view it.
The Evidence of the 1% Rule ,[object Object],[object Object],[object Object],[object Object]
Day in the life … Recording without even trying http://newsinitiative.org/story/2006/08/15/digital_trails We log onto computers at school and work, use our debit cards to buy lunch, scan our membership cards at the gym; the list goes on and on.   With each of these everyday acts we leave a digital bread crumb that enables others to track our movements.   But how often do we stop and wonder, who is following these virtual trails? Unintentional Intentional Lifelogging Everyday Acts Interactions on Social  Media/Networks
Day in the life …
What’s in the Trail? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sample Trail – Internet Activity
Sample Trail – Cell Phone
Web Trails: From IT to Marketing Hits  Pages  Visits  Visitors (http://www.internetworldstats.com/stats.htm).
Web Trails: Any Guesses ,[object Object],[object Object],[object Object],[object Object],[object Object],5774670
Web Trails: Cookies 1 2 3 ,[object Object],[object Object],[object Object]
Web Trails: Tracking across Multiple Sites Source: Croll & Power. Complete Web Monitoring. O’Reilly (2009)
Web Trails: What’s in a name ,[object Object],[object Object],Pixel is here
What’s in a name ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Web Trails: Page Tag (JavaScript) Source: Croll & Power. Complete Web Monitoring. O’Reilly (2009)
Web Trails: Ad Clicks & Analysis Source: Croll & Power. Complete Web Monitoring. O’Reilly (2009)
Every Activities: Magnitude ,[object Object],[object Object]
Every Activities: Magnitude ,[object Object],[object Object]
Creating Digital Trails: The Internet of Things Traffic Cameras Electronic Tolls Traffic Cameras Transit Cards Passports Security Badges Time Clocks Payment Cards Loyalty Cards Membership Cards Digital Cameras Video Recorders Voice Recorders Health Recorders Sleep Recorders Wireless Scales Mobile Phones GPS Trainers GPS Devices Photo Geotagging WPS Devices RFID Tags Event RFID Tags Unisense Sensors
Digital Trails: Location-Based Systems Networked  (e.g. mobile phone triangulation) Handset  (e.g. GPS trialateration) Hybrid(e.g. A-GPS or XPS)
Digital Trail: Skyhookwireless.com (and Loki.com)
Digital Trail: Skyhookwireless.com
Creating Digital Trails: RFID
Creating Digital Trails: RFID Critics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Creating Digital Trails: Some Examples RFID Tag Sensor Ubisense.Net
What can you do with location data?
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Digital Trails Dave King 1 5 10 Part 1 D3

  • 1. Digital Traces and Trails: Extracting Intelligence from the Collective Interactions of Web and Mobile Users   Dave King HICSS-44 Tutorial January 5, 2010
  • 2.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Digital Traces & Trails: Intention Unintentional Intentional Lifelogging Everyday Acts Interactions on Social Media/Networks
  • 11. Lifelogging Steve Mann (the world’s first cyborg) – Cyborglogging (wearcam.org/netcam.html) Jennifer Ringley – Lifecasting thru the JenniCam (1996-2003) Mitch Maddox (aka DotComGuy) – 2002 Daniel P.W. Ellis Audio Lifelogging (2005-2007) Lisa Emily Batey– Lifecasting from Tokyo thru the Justin.tv (2007)
  • 12. Lifelogging: MyLifeBits – Gordon Bell “ I’m losing my mind… By the way so are you.” “ Soon… you will have the capacity for Total Recall. You will be able to summon up everything you have ever see, heard, or done And you will be in total control, able to retrieve as much or as little as you want at any given time.”
  • 13. Total Recall: Reminiscent of the Memex “ A memex is a device in which an individual stores all his books, records, and communications, and which is mechanized so that it may be consulted with exceeding speed and flexibility.” Vannevar Bush (1945)
  • 14. Total Recall: SenseCam research.microsoft.com/en-us/um/cambridge/projects/sensecam/ www.businessweek.com/magazine/content/09_37/b4146051036364.htm
  • 15. MyLifeBits: The Research Project MyLifeBits store database Voice annotation tool Text annotation tool Telephone capture tool TV capture tool TV EPG download tool Radio capture & EPG PocketPC transfer tool PocketRadio player Import files MyLifeBits Shell files Legacy applications Browser tool Internet IM capture MAPI interface Legacy email client GPS import & Map display SenseCam Screen saver
  • 16. Total Recall: Gordon Bell’s Trove
  • 17.
  • 18.
  • 19.
  • 20. Digital Traces: How much is a free smartphone worth? In the fall of 2008, 100 undergraduate students living in Random Hall at M.I.T. agreed for one year to swap their privacy for free smartphones in exchange for participating in a n MIT study aimed at understanding the impact of social interaction on social diffusion. When the participating students dialed other students, sent e-mails, or listened to songs the researchers knew…Every moment the students had their Windows Mobile smartphones with them, the researchers knew where they were and who was nearby. [ Translated into 350,000 hours of data – e.g. 65,000 phone calls, 25,000 SMS messages, 3.3 million scanned bluetooth devices and 2.5 million scanned 802.11 WLAN APs]
  • 21. Reality Mining: Human Dynamics Group
  • 22. Reality Mining: Human Dynamics Group
  • 23.
  • 24.
  • 25. Social Media Landscape http://www.briansolis.com/2008/08/introducing-conversation-prism/ Unintentional Intentional Lifelogging Everyday Acts Interactions on Social Media/Networks
  • 26.
  • 27. Universal McCann Survey: All Social Media have grown over the 4 Waves
  • 28. Universal McCann Survey: Social Networks Note: There are variations in the absolute numbers of users
  • 29.
  • 30.
  • 31. Information Revelation on Facebook (4000 CMU Students) Information Revelation and Privacy in Online Social Networks. ACM Workshop on Privacy in the Electronic Society 2005. Ralph Gross - Alessandro Acquisti.
  • 32. Key Social Network Activities
  • 33. 1% Rule (or something like that) 434 It's an emerging rule of thumb that suggests that if you get a group of 100 people online then one will create content, 10 will "interact" with it (commenting or offering improvements) and the other 89 will just view it.
  • 34.
  • 35. Day in the life … Recording without even trying http://newsinitiative.org/story/2006/08/15/digital_trails We log onto computers at school and work, use our debit cards to buy lunch, scan our membership cards at the gym; the list goes on and on.  With each of these everyday acts we leave a digital bread crumb that enables others to track our movements. But how often do we stop and wonder, who is following these virtual trails? Unintentional Intentional Lifelogging Everyday Acts Interactions on Social Media/Networks
  • 36. Day in the life …
  • 37.
  • 38. Sample Trail – Internet Activity
  • 39. Sample Trail – Cell Phone
  • 40. Web Trails: From IT to Marketing Hits Pages Visits Visitors (http://www.internetworldstats.com/stats.htm).
  • 41.
  • 42.
  • 43. Web Trails: Tracking across Multiple Sites Source: Croll & Power. Complete Web Monitoring. O’Reilly (2009)
  • 44.
  • 45.
  • 46. Web Trails: Page Tag (JavaScript) Source: Croll & Power. Complete Web Monitoring. O’Reilly (2009)
  • 47. Web Trails: Ad Clicks & Analysis Source: Croll & Power. Complete Web Monitoring. O’Reilly (2009)
  • 48.
  • 49.
  • 50. Creating Digital Trails: The Internet of Things Traffic Cameras Electronic Tolls Traffic Cameras Transit Cards Passports Security Badges Time Clocks Payment Cards Loyalty Cards Membership Cards Digital Cameras Video Recorders Voice Recorders Health Recorders Sleep Recorders Wireless Scales Mobile Phones GPS Trainers GPS Devices Photo Geotagging WPS Devices RFID Tags Event RFID Tags Unisense Sensors
  • 51. Digital Trails: Location-Based Systems Networked (e.g. mobile phone triangulation) Handset (e.g. GPS trialateration) Hybrid(e.g. A-GPS or XPS)
  • 55.
  • 56. Creating Digital Trails: Some Examples RFID Tag Sensor Ubisense.Net
  • 57. What can you do with location data?

Editor's Notes

  1. The Web became mainstream enough for marketers to care (38 million Internet users in 1994, but roughly 1.5 billion by January 2009—a 40-fold increase (http://www.internetworldstats.com/stats.htm). Analytics became visitor-centric. (logging had to move from individual requests for pages to user visits) Analysts devised ways to segment visitors so they could decide which browsers, campaigns, promotions, countries, or referring sites were producing the best business results, and optimize their websites accordingly.
  2. Used with most hosted Analytics Services (e.g. Google Analytics)