Presentation given by Mark Billinghurst on Pervasive Social Networking and how wearable devices such as Google Glass can be used for this. Given at the Auckland Social Media Club (SMACKL) on September 18th 2013

1. Pervasive Social Media
Mark Billinghurst
HIT Lab NZ
University of Canterbury
September 2013

2. Web Based Social Networks (1995 - )

3. Mobile Social Networking (2000 - )

4. Contextual Social Networking (2008 - )

5. Generations of Social Networks
 Web based (1995 - )
 Content + Communication
 Mobile (2000 - )
 Content + Communication + Mobility
 Contextual (2008 - )
 Content + Communication + Mobility + Context

6. Pervasive Social Networking
 Always on
 always available
 Always aware
 context awareness
 Always accessible
 intimate user interface
 Always connected
Mobility Context
Content
ConnectAccessible

7. Wearable Devices
 Always on
 Always aware
 Always accessible
 Always connected
Capture user actions and infer context

8. Wearable Computing
MIT Wearable Computing Group - 1996

9. Evolution of Wearables

10. Google Glass

13. What's Inside Google Glass?

14.  Hardware
 CPU TI OMAP 4430 – 1 Ghz
 16 GB SanDisk Flash,1 GB Ram
 570mAh Battery
 Input
 5 mp camera, 720p recording, microphone
 GPS, InvenSense MPU-9150 inertial sensor
 Output
 Bone conducting speaker
 640x360 micro-projector display

15. View Through Google Glass
Always available peripheral information display
Combining computing, communications and content capture

16. User Interface
 dfasdf

18. User Experience
 Truly Wearable Computing
 Less than 46 ounces
 Hands-free Information Access
 Voice interaction, Ego-vision camera
 Intuitive User Interface
 Touch, Gesture, Speech, Head Motion
 Access to all Google Services
 Map, Search, Location, Messaging, Email, etc

19.  asdfa

20. Glass Support for Social Networking
 Hangouts, Google+, Path
 Twitter, Facebook, Tumbler
 More to come..

21. New Types of Social Networking
 Shared Experiences
 "See what I see", first person perspective
 Experience capture
 Image + audio + context
 Life Logging
 Continual sensor recording
 Face to face augmentation
 Translation, information retrieval

22. Wearables + Human Computation
 Human Computation
 Real people solving problems
difficult for computers
 AR attributes
 Shared point of view
 Real world overlay
 Location sensing
What does this say?

23. Living Heads Up vs. Heads Down

25. Competitors
 Vuzix M100
 $999, profession
 Recon Jet
 $600, more sensors, sports
 Opinvent
 500 Euro, multi-view mode
 Motorola Golden-i
 Rugged, remote assistance

26. Projected Market
 > 10 million displays by 2016

27. Looking to the Future
What’s Next?

28. Annotated Life

29. AR 2.0 Infrastructure

30. Scaling Up
 Seeing actions of millions of users in the world
 Augmentation on city/country level

31. AR + Smart Sensors + Social Networks
 Track population at city scale (mobile networks)
 Match population data to external sensor data
 medical, environmental, etc
 Mine data to improve social services

33. Conclusion
 Pervasive Social Networking
 Always on, accessible, connected, context aware
 Wearable computers provide ideal platform
 Google Glass, Recon Jet, Vuzix M100
 New opportunities for Social Networking
 Scaling up, large scale augmentation

34. More Information
 Mark Billinghurst
 mark.billinghurst@hitlabnz.org
 HIT Lab NZ
 http://www.hitlabnz.org/