WiFi, UbiComp, & Smart Mobs 4.12.2005 Knowledge Management Systems Lorrie Ensley

advertisement
WiFi, UbiComp, & Smart Mobs
4.12.2005
Knowledge Management Systems
Lorrie Ensley
Overview











Smart Mobs
Vision of the Future
Cooperation Theory
Computation
Communication
Reputation
Location Awareness
UbiComp
WiFi
Issues to Consider
Maneki Neko
Smart Mobs


The new social form made possible by the
combination of computation,
communication, reputation, and location
awareness (p.169-170)
aka Mobile ad hoc social network (p.170)




Mobile: able to move freely or easily
Ad hoc: organizing among people and their
devices is done informally and on the fly
Social network: every individual is a “node” in
the jargon of social analysis, with social “links”
(channels of communication and social bonds)
to other individuals
Smart Mobs Website
Vision of the Future

Rheingold’s Shibuya Epiphany




Generation Text
Social Networking
Rheingold’s Goal – learn about the “social
forms that could grow out of today’s roving
bands of mobile texters”
Mobile Communication Devices




NTT DoCoMo and I-mode – first commercial
success of G3 service




G1 – portable analog telephones
G2 – digital telephones that make use of
Internet-like services like short text messages
G3 – wireless Internet in real time to mobile
devices
Inexpensive
Privacy and space reasons for success
Vision 2010 and Looking for the Future Society
Likely evolution of mobile devices


More transaction functions - “M-commerce”
Pervasive Computing
Cooperation Theory

Cooperation





Pros – foundation of finest creations of human civilizations
Cons – free riding, terrorism, and organized crime
Does a new medium change the way people cooperate?
History of civilization “More people pooling resources in new ways”
Tragedy of the Commons



Collective action dilemmas – balancing of self-interest and public resources
Free riders – people who enjoy the public resource without contributing to it
Solution of the managed commons




Coping with free-riding and cheating
Creating a commitment to cooperate
Monitoring compliance with sets of rules
Authority Issues

Centralized authority vs. decentralized authority (rules vs. social pressure)
Cooperation Theory

Game Theory


Collective Actions that are part of Smart Mobs






Reciprocity
Cooperation
Reputation
Social Grooming
Social Dilemmas
Examples of Modern Public Goods



Tit for Tat – most successful scheme
Internet
Open Source Software
Laws of Social Networks




Sarnoff’s Law – the value of broadcast networks is proportionate to the number of
viewers
Moore’s Law – the amount of elements that can be packed into the same amount of
space on a microchip will double every eighteen months
Metcalfe’s Law – the value of a network grows proportionately to the square of its nodes
(# of nodes squared)
Reed’s Law – the value of a network grows exponentially to the increase in its nodes
(2^number of nodes)
Computation

Community Supercomputing

P2P Computing (aka Distributed Processing or Community Computation)


Collective supercomputer spread all over the Net
Members share their central processing unit computation cycles when they aren’t using their
computers


P2P and file sharing




Centralized – ex Napster
Decentralized – every client is a server
Problems - voluntary cooperation of users leads to free riding
Solutions

Mojo Nation




Users required to contribute as much as they take away
Anonymity
“Swarm distribution” – files broken up and distributed over the network
P2P Collaborative Filtering Systems




Ex: SETI@home
OpenCOLA
Designate things you like in your network folder
Network fills the rest of your folder with things you’ll probably like
Grid Computing

Communities of networked computers can provide computing resources on demand
Communication

Information Exchange



Social Changes



Bypassing the broadcasting media with
blogs, mobile phones, and email
P2P Journalism
Communities




News
Gossip
Social
Political
Commercial
Swarming


Power of many
Cooperation for organized movements:
flocking behavior
Reputation


Blogging
Collaborative Filtering




Recommender Communities


Ex: Epinions.com
Reputation Systems



Recommender systems
Users post comments to advise other
users
Social Filtering Services: collaborative
filtering by groups to match interests
eBay’s reputation system
Slashdot’s Karma system
Are universal reputation systems
possible?


Remember Tit for Tat
Fraud
Local Awareness


Computation Pervaded environments
Information and Communications Technologies in the
Real World (p.84-85)

Information in places



Sentient Things



Adding information capabilities to urban places
HP’s Cooltown
Tangible bits


Adding information and communication to physical objects
Digital Cities


Media linked to place
Smart rooms
Manipulating the virtual world by manipulating physical objects
Wearable computers


Sensing, computing, and communicating gear worn as clothing
Cyborg communities

Control their presence in the technological world
Local Awareness

Computer chips infiltrating buildings,
furniture, and even clothing



Geographic Location Devices



Radio frequency identity tags as
successors to the barcode
Leads to pervasive surveillance
questions
WorldBoard – proposed global
infrastructure to associate information
with places
GPS
E-squirting


Using radio frequencies to transmit
information between devices
Bluetooth
UbiComp




Ubiquitous Computing theory developed by
Mark Weiser
The “invisible, everywhere computing that
does not live on a personal device of any
sort but is built in the woodwork everywhere”
(p.87)
Opposite of Virtual Reality – not reality built
into computers but computers built into
reality
Many computers serve each person
WiFi

Wireless Quilts


Grassroots Wireless Networks







History of radio wave regulation
Open Spectrum Argument: regulate the devices, not the
waves
Telecommunications Industry issues


Mesh technologies
Using mobile devices to swap data, games, and music
without telecommunication networks
Regulation Issues


Cost Effective
Easy to Install
Wireless City Projects: Austin
Ad Hoc P2P Networks


War driving
Grassroots networks are like stealing cable
Profitability – Wireless Internet Business Model
Potential problems



Security
Radiation
Interference
Issues to Consider

Loss of Privacy

In order to cooperate with more people, you need
to know more about them, and they in turn will
know more about you


Smart Mobs reduces to issues of trust and
privacy





Personal agents to go-between, filter, and shield
Who are the users


Big Everybody
Good users
Bad users
Incompetent users
Legal & Regulatory Battles
Threats created by Smart Mobs



Liberty
Quality of life
Dignity
Maneki Neko


Welcoming good luck cat in
Japanese culture
Story of future technology




Future communication capabilities
How life could change
Issues of non-adoption
Smart Mobs concepts




Video Mobile Devices
Reciprocal Social Networks
Swarming
Squirting
WiFi, UbiComp, & Smart Mobs
4.12.2005
Knowledge Management Systems
Lorrie Ensley
Download