summary

This week's points was what surveillance, capture and privacy, lessig on monitoring and search and data mining.
Sullveillance is that close watch kept over someone or something. These days, some artists and art groups concerned with surveillance. Surveillance model is built upon visual metaphors and derives from historical experiences of secret police surveillance. And capture model is built upon linguistic metaphors and takes as its prototype the deliberate reorganization of industrial work activities to allow computers to track them [the work activities] in real time. Privacy means the quality or state of being apart from company or observation, and freedom from unauthorized intrusion. And we think that privacy is archaic : a place of seclusion.
We learnd about connections between the public and the private, resistances between private and public.
And we learnd about monitoring architectural feature of the web and anti-monitoring architectural feature of the web.
Finally we learnd about data mining. In general, data mining efforts are directed toward the generation of rules for the classification of objects. And types of data mining are descriptive and
predictive. And data mining tasks are that regression, classification, clustering, inference of associative rules, inference of sequential patterns.

summary

I was absent from this week's class.

summary

This week, we learnd about computer games. First we learnd about mod(modification), movies with game engines, programming. For example, we learnd about pong in flash.
Next, What makes a good game? The answer may be play or story or something else, realism.
And two issues to consider from film theory are what identification and space.

Sherry Turkle said that video games as “metaphysical machines”, “perfect mirrors” , “drugs”, “contests”. And video games discussed by turkle are space war, pong, asteroids,
pac man, joust, adventure.

And we learnd about space: what’s a boy’s or girl's space? and games and gender.

summary

This week's key point is that every digital media technology has an architecture using diagrams to compare physical architectures with digital architectures. And we watched Charlie Chaplin's Modern Times. And we learnd about CSCW what computer-supported cooperative work, Agre’s “surveillance model” and Agre’s “capture model”.
Winograd and Flores present a methodology for CSCW analysis and design. And they are model of conversation.
Every digital media technology has an architecture that can be used to transform work, play and governance.

summary

This week's point is human computer interaction(HCI). And related points are ethics, aesthetics & teleology, design. History of HCI as tools are that people, systems, funding.
Two models of conversation are AI(information/intention transmission) and Ethnomethodology(co-construction of meaning). And we learnd about Lucy Suchman, participatory design & CSCW and HCI & SF film.
Ethnomethodology is what the study of how people make sense of the social world.
Ethnomethodologists assume that order in the social world is an accomplishment, not a given. And they assume that order in the social world is emergent and individuals constantly shape and (re)create it through their interactions with others.

(I was absent from this week's class.)

summary

This week's key point is artificial intelligence. And we are learnd about Alan Turing. He is fonder of computer science, artificial intelligence, mathematician, philosopher, codebreaker, and a gay man. Let me introduce Turing’s “imitation game”. “The new form of the problem can be described in terms of a game which we call the ‘imitation game.’ It is played with three people, a man, a woman, and an interrogator who may be of either sex. The interrogator stays in a room apart from the other two. The object of the game for the interrogator is to determine which of the other two is the man and which is the woman.” artificial intelligence has many research areas. That is Knowledge Representation, Programming Languages, Natural Language (e.g., Story) Understanding, Speech Understanding, Vision, Robotics, Machine Learning, Planning.
And we learnd about GPS, TALESPIN, FRUMP, ELIZA. GPS is what is known in AI as a “planner.” And FRUMP is short for Fast Reading Understanding and Memory Program. ELIZA is what a computer program for the study of natural language communication between man and machine.

summary

This week's key point was that new media technologies usually existing social natworks or even work to isolate people. But when new media technologies facilitate new social networks, they simultaneously challenge existing social, political and economic relationships.
Outline for this week was social networks as science, technology, popular culture, art.
In Social networks as science, There is field, definition, history, equivalence, centrality, bridges, social capital.
Speaking of social networks as technology, there is newsgroups, email, weblogs. For example, Google's page rank algorithm gives more weight to popular webpages. A webpage is considered popular if many other webpages link to it.
And social networks as popular culture, we learnd about six degrees of kevin bacon, google hacking.
Finally, social networks as art, at first time, people drew social natworks by hands. I thought that they worked very hard. But it becomes more convenient than past.