A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information...

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A Social Environment Model of Socio- technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany, New Zealand

Transcript of A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information...

Page 1: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

A Social Environment Model of Socio-technical Performance

Brian Whitworth

Institute of Information and Mathematical Sciences, Massey University, Albany, New Zealand

Page 2: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Socio-technical levelsLevel Discipline System Combination Examples

Community Sociology, Politics, Business

Social Socio-technical Systems (STS)

Culture, roles, laws sanctions

Individual Psychology, Biology

Cognitive Human Computer Interaction (HCI)

Attitudes, beliefs, ideas, opinions

Informational Computer Science, Information Science

Software (S/W) Technology

(H/W & S/W)

Programs, data, bandwidth, memory

Physical Engineering, Physics, Chemistry

Physical

Hardware (H/W)

Computer, mouse, wires, printer, keyboard

Table 1. Socio-technical levels

Page 3: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Homo-Economicus

• Individual does what benefits themselves, by reduced effort, increased gain, or both

• Mill’s economic man, who seeks wealth, leisure, luxury and procreation

• Competition for limited resources creates a need for competence

Page 4: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Individuals Competing Model

Figure 1. Individuals competing in a world environment

Page 5: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Rule 1: The Selfish Rule• Freely acting individuals {I1, I2 …} face action

choices {a1, a2 …} with expected individual unit values outcomes {IU(a1), IU(a2), …} follow the rule:

If IU(ai) > IU(aj) an individual should prefer ai over aj Selfish individual choose acts expected to give more value to yourself.

• A defeasible rule • Value includes psychological gains like appreciation,

or social gains like reputation

Page 6: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Homo sociologicus

• Our bodies are cooperative cell colonies, with cancer what happens when cells “defect”

• Ants and bees form massively cooperative societies by genetics - the competing evolutionary unit is the colony not the individual, i.e. Biologists now argue for multi-level selection

• Marx’s communist man

• Social cooperation creates synergy benefits

Page 7: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Communities Cooperating Model

Page 8: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Rule 2: The Social Rule• If a social unit S of { I1, I2 …} individuals faces

social action choices {a1, a2 …} with expected social unit values of {SU(a1), SU(a2), …}, then:

If SU(ai) > SU(aj) then prefer ai over aj

• Socialized individuals choose social acts expected to give more value to the community

Note: Social acts reference social units not individuals, e.g. “defend society” is independent of individual state. Allows social “castes” like worker or soldier

Page 9: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Synergy

• Difference between what individuals produce as a social unit vs what they produce alone

• Trade illustrates positive synergy

• Conflict illustrates negative synergy

• Generally pays individuals to join positive synergy social units, and leave negative ones (they are better off alone)

• A property of the number of interactions, not the number of group members

Page 10: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

The Social Dilemma

• While genetics drives ant society, people can choose to follow Rule 1 or 2

• What if Rule 1 conflicts with Rule 2?i.e. what is good for society is not what is good for the individual?

• Only Rule 2 allows synergy gains, but Rule 1 is the primal rule in nature

Page 11: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

The Prisoner’s Dilemma

• Prisoners Bill and Bob face two year jail for a crime they did commit

• Each can plea bargain to testify against the other

• If Bill testifies and Bob doesn’t, he walks free and Bob gets 7 years jail

• If both testify, both get six years (one off for testifying).

Bob Years free (Bill/Bob) Cooperate Defect

Cooperate 5/5 0/7 Bill

Defect 7/0 1/1

By Rule 1 it always pays individuals to defect

Page 12: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Other Social Dilemmas

• Tragedy of the commons: – Farmers by a commons with cows and a land plot– If a farmer grazes the commons, his herd grows fat– If all farmers do so, it is overgrazed and dies off– Parallels modern conservation problems

• Volunteer dilemma• Social loafing• False representation, etc, …• Individuals alone can’t solve social dilemmas,

one “do gooder” is just a “sucker”

Page 13: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Social Instability

Valleys of Defection

• Anti-social acts like stealing “short-circuit” synergy gains• Each defection reduces synergy in a cascade effect •Rule 1: Synergy is unstable

Peak of Synergy

Page 14: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Zero-Sum BarrierZero-sum:

Expand your slice – world domination!

Non-Zero-sum:Expand the pie – to expand your slice!

Human civilization somehow achieved massive non-zero-sum gains by non-genetic means

Page 15: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Social Order• In perfect social order all individuals are “one

mind”, cf in a crystal all atoms move as one

• Social anarchy- gas atoms move individually

• A community with social order, by religion, culture or laws, avoids stealing and cheating (social disorder)

• Can solve the social dilemma by following Rule2, but at the expense of freedom/Rule1

• “Barbarians” (Rule 1) vs “Civilization” (Rule 2)

Page 16: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Social inventions • Unfairness. Not inequity—unequal distribution

of outcomes—but not distributing outcomes according to contribution, e.g. that fit adults live idly while others work to support them is unfair

• Justice—punish unfairness so Rule 1 no longer profits—social order plus individual freedom– Social unit transmits world requirements

(accountability)– People have a natural justice perception– Revenge is a primitive form of justice – State justice (police, laws, courts, prisons) aims to

deny unfairness (Rawls, 2001)

Page 17: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Social Hijack

• Individuals take social control for their own ends, just as a virus hijack a cell

• Benevolent dictators (Plato) enforce social order (synergy), then justly return the gains to society

• Dictators keep control by repressing and indoctrinating• Dictatorships are:

– Unstable. Slaves have “nothing to lose but their chains” Marx – Impermanent. Kings, emperors, pharaohs, etc die, leaving a

power vacuum. Bloodline dynasties over time produce incompetent offspring

– Unproductive. In Zimbabwe Mugabe addressed social inequity by driving white farmers off productive farms, then gave them to cronies who looted - turned Zimbabwe from the bread-basket of Africa into the basket-case of Africa.

Page 18: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

The golden rules• Do unto others as you would they do unto you• Rabbi Hillel’s sum of all rules: “If you don’t like it

done to you, don’t do it to others”. • Kant’s proposal: “Act only on that maxim by which you

can at the same time will that it become a universal law”, i.e. if everyone does it, is it still successful?

• Pareto’s optimality principle: “Good actions benefit at least one other and do no harm.”

• Rawl’s “veil of ignorance” requires state justice to be “blind” to individual needs.

• Harsanyi rules out immoral or anti-social acts (Harsanyi, 1988).

All encourage free individuals to choose Rule 2

Page 19: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Social environment Model

I1

COMMUNITY ENVIRONMENT

SocialActions

Social Tokens

Cooperation &

Competition

WORLD ENVIRONMENT

Social & Competence Requirements

Social Outcomes

PerformanceRequirements

CompetitionCompetence + Synergy

INDIVIDUAL TECHNICALSUPPORT

SOCIO-TECHNICALSUPPORT

Anti-social acts

Social Barriers & Sanctions

Cheating value

I1 ...

...

...

...

Figure 3. Social environment model

Page 20: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Good Citizen Rule 3Rule 3

a. If {SU(ai) ≥ SU(aj) and IU(ai) > IU(aj)} then prefer ai to aj

Choose acts that don’t harm society significantly, but benefit oneself

ORb. If {IU(ai) ≥ IU(aj) and SU(ai) > SU(aj) } then prefer ai to

aj Choose acts that don’t harm oneself significantly, but benefit

society

Rule 3 is a hybrid of Rule 1 and 2

Page 21: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Self vs Community Choices

COMMUNITY

Gain Minor effect Loss

Gain Synergy Opportunity Anti-social

Minor effect Service Null Malice

S E L F Loss Sacrifice Self-harm Conflict

Rule 3 favors service, synergy and opportunity

Page 22: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Socio-technology

• Online people help others they have not met and may not meet again, Neither Rule 1 nor Rule 3a explain this

• Socio-technical systems succeed by good citizens – “small heroes” doing small selfless acts for others

• That virtue” is productive and supportable by technology is an important social discovery (Benkler & Nissenbaum, 2006)

• Socio-technical systems are a new social form, that change the social focus from denying defection to enabling good citizenship, e.g. open source

Page 23: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Examples

Aim Examples Synergy Defection

Communicate Email, Chat, ListServ, IM

Shared communication: People send messages they otherwise would not

Spam: Spammers waste others time, giving spam filters.

Learn WebCT Moodle Blackboard,

Shared learning: Students help others learn, reduce teacher bottlenecks

Plagiarism: Students copy other student’s work, giving systems like Turnitin.com.

Knowledge Wikipedia, Tiddlywiki

Shared knowledge: Taps knowledge of the group, not just a few ”experts”

Trolls: Wikipedia’s monitors and rights fight “trolls” who damage knowledge.

Friends Facebook, Myspace

Relationships: People keep in touch with friends and family

Predation: Social network predators find victims, giving reporting and banishing

Keeping current

Digg, Del.icio.us

Shared bookmarks: Social bookmarks let people see what others look at.

Advocates: Who “digg” a site because of a vested interest, e.g. they own it.

Play Second Life, MMORPG, Sims

Shared play: An avatar experiences things impossible in reality.

Bullies/Thieves: “Newbies” robbed by veterans don’t return, so need “safe” areas.

Trade E-Bay, Craig’s List, Amazon

Item trading: People from anywhere exchange more goods.

Scams: Scammers are reduced by online reputation systems.

Work Monster Work trading: People find and offer work more easily.

Faking: Padded CVs and fake job offers need online reputation systems.

Down-load Webdonkey, Bit-Torrent Napster,

Shared down-loading: Groups share the processing load of file downloads.

Piracy: Napster was in conflict with society’s copyright laws, so closed down.

Media Sharing

Flickr, YouTube podcasting

Shared experiences: People share photos/videos with family/ friends.

Offensiveness: Editors remove offensive items—violence, porn, scatology…

Advice Tech help boards like, AnandTech

Shared technical advice: People who have solved problems can help others more easily.

Confusers: People who start new tracks rather than checking existing ones are relocated and scolded.

Express opinions

Slashdot, Boing-Boing, Blogs

Shared opinions: People express and read others opinions more easily

Caviling: People who “peck” new ideas to death—karma systems deselect them.

Page 24: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Other applications

• Enron – A higher form of cheating• Credit crunch – A higher form of incompetence (in

risk management)• Social inflation – When social environments ignore

the demands of their environment, and social tokens lose external value, e.g. money (social token) loses value relative to external standard of a loaf of bread

• Rectification –the demands of outer environments ultimately “cascade” over inner ones

Page 25: A Social Environment Model of Socio-technical Performance Brian Whitworth Institute of Information and Mathematical Sciences, Massey University, Albany,

Modelling Social Behavior??

• Foxes/Rabbits– Move– Predate– Breed

• Social Foxes/Rabbits– As before PLUS– Combine: If both agree, form

combined unit with double rewards plus synergy

– Defect: If in combined state, • Defector gets plus synergy

• Sucker gets minus synergy

In Rule 2 state each creates others synergy