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Lecture 6: Miracle Workers What tasks can/should media machines do? Professor Victoria Meng 1 Course Design Unit I Unit II “Forest” “Trees” Media in general Media specificity 2 Review: Unit I • “Medium specificity”: the idea that each medium has specific properties that make it different from other media. • So what do digital media do, that older media do not? How do they change who we are? 3 Review: Unit I • Media and technologies help to define our identities. • We are what we can do, both as individuals and societies. 4 Human – Technology Relationship “Common sense” model: Humans create technology; humans control technology. 5 Human – Technology Relationship Utopian formula: Humans control technology + Technologies extend humans = Humans can perfect themselves! 6 Human – Technology Relationship 7 Human – Technology Relationship Machines fail because: • Parts break down 8 Human – Technology Relationship Machines fail because: • They’re too complicated 9 Human – Technology Relationship Machines fail because: •Human operators make mistakes 10 Human – Technology Relationship Machines fail because: •They hate humans © Evil Machines, Co. 11 Human – Technology Relationship Machines fail because: •They’re not “intelligent” 12 Human – Technology Relationship Machines fail because: •Parts fail or become obsolete. •They’re too complicated. •Human operators make mistakes. •They hate us. •They can only follow directions. 13 Lev Manovich www.manovich.net 14 Lev Manovich: “What is New Media?” • Digital media and “medium specificity” • Principles: - Numerical representation - Modularity - Automation - Variability - Transcoding 15 Lev Manovich: Transcoding • “…to “transcode” something is to translate it into another format.” (p.47) • Humans have different “rules” for communication than machines do. 16 Lev Manovich: Transcoding • Machines have “languages,” too. 17 Lev Manovich: Automation • “Low-level” automation – creating or modifying media objects using templates or simple algorithms. • Made possible by principles of “numerical representation” and “modularity.” 18 Lev Manovich: Numerical Representation 19 Lev Manovich: “Low-Level” Automation “My Cat and I,” Versions 1, 2, 3 20 Lev Manovich: “Low-Level” Automation www.explore-drawing-and-painting.com 21 Lev Manovich: “Low-Level” Automation Limitations: • Does not correct human error. 22 Lev Manovich: “Low-Level” Automation Limitations: • Does not correct human error. Examples of auto-spelling FAIL: • “In the mouth of April, the film grossed 50 million dollars…” • “Each virgin of the film addressed a different market…” 23 Lev Manovich: “Low-Level” Automation Limitations: • Does not correct human error. • Requires very specific instructions. 24 Lev Manovich: “Low-Level” Automation Limitations: • Does not correct human error. • Requires very specific instructions. Example of “A.I.” FAIL: • Interactive computer games. 25 Lev Manovich: “Low-Level” Automation “…computer characters can display intelligence and skills only because programs place severe limits on our possible interactions with them. Put differently, computers can pretend to be intelligent only by tricking us into using a very small part of who we are when we communicate with them.” (p. 34) 26 Lev Manovich: “Low-Level” Automation Limitations: • Does not correct human error. • Requires very specific instructions (that can be hard to learn). • Can “replace” human labor, but often with creative compromise. 27 Lev Manovich: “Low-Level” Automation Charlie and the Chocolate Factory (Burton, 2005) 28 Lev Manovich: “Low-Level” Automation Charlie and the Chocolate Factory (Burton, 2005) 29 Lev Manovich: “Low-Level” Automation Charlie and the Chocolate Factory (Burton, 2005) 30 Lev Manovich: “Low-Level” Automation Charlie and the Chocolate Factory (Burton, 2005) 31 Automation: Impact on Human – Technology Relationship Charlie and the Chocolate Factory (Burton, 2005) 32 Automation: Impact on Human – Technology Relationship Charlie and the Chocolate Factory (Burton, 2005) 33 Review: Automation and (I – Media) – World? God : Creation? Master : Slave? Human : Machine :: Parent : Child? Partner : Partner? Contestant : Challenger? Pawn : Player? 34 “High-Level” Automation, aka Artificial Intelligence WALL-E (Stanton, Pixar, 2008) 35 “High-Level” Automation, aka Artificial Intelligence WALL-E (Stanton, Pixar, 2008) 36 Looking Ahead •Alan Turing, “Computing Machinery and Intelligence.” •Pi10K 37 End of Lecture 6 Next Lecture: Remote Control: What are the advantages/limits of interactivity? 38