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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
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Pervasive Social Media
Mark Billinghurst HIT Lab NZ
University of Canterbury September 2013
Web Based Social Networks (1995 - )
Mobile Social Networking (2000 - )
Contextual Social Networking (2008 - )
Generations of Social Networks
Web based (1995 - ) Content + Communication
Mobile (2000 - ) Content + Communication + Mobility
Contextual (2008 - ) Content + Communication + Mobility + Context
Pervasive Social Networking Always on
always available
Always aware context awareness
Always accessible intimate user interface
Always connected
Mobility Context
Content
Connect Accessible
Wearable Devices Always on Always aware Always accessible Always connected
Capture user actions and infer context
Wearable Computing
MIT Wearable Computing Group - 1996
Evolution of Wearables
Google Glass
What's Inside Google Glass?
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
View Through Google Glass
Always available peripheral information display Combining computing, communications and content capture
User Interface
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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
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Glass Support for Social Networking
Hangouts, Google+, Path Twitter, Facebook, Tumbler More to come..
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
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?
Living Heads Up vs. Heads Down
Competitors Vuzix M100
$999, profession
Recon Jet $600, more sensors, sports
Opinvent 500 Euro, multi-view mode
Motorola Golden-i Rugged, remote assistance
Projected Market
> 10 million displays by 2016
Looking to the Future
What’s Next?
Annotated Life
AR 2.0 Infrastructure
Scaling Up
Seeing actions of millions of users in the world Augmentation on city/country level
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
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
