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Lauren McCarthy edited this page Jan 6, 2016 · 1 revision

Appropriating Interaction Technologies

  • Kyle McDonald and Lauren McCarthy
  • NYU ITP Fall 2013
  • Mondays 2:30-5:30, ITP rm 447
  • Office hours Fridays 3:30-6:30, ITP adjunct lounge

Important links

  • github repo - Readme contains course information, repo also serves as a collection of scripts and tools for social hacking.
  • google drive - Reading assignments and other docs.
  • mailing list - For course announcements and longer form discussions, feedback, questions.
  • #socialhacking - For submitting homework links, sharing shorter thoughts with public.
  • #socialhacking aggregator

Course descriptionse

This course explores the structures and systems of social interactions, identity, and self representation as mediated by technology. We will investigate ways that technology can be used to augment, subvert, alter, mediate, and ultimately deepen interaction in a lasting way.

How do the things we build and use limit and expand the way we understand and relate to each other? We'll explore this question by building new tools and creating new situations for breaking us out of existing patterns, and discussing contextual examples from media art, performance art, psychology and pop culture. Technologies explored will include computer vision (face/body/eye tracking with openFrameworks), data representation and glitch, browser extensions and plugins (in Chrome), computer security, mobile platforms, and social automation and APIs (Facebook, Twitter, Mechanical Turk).

Students will develop projects that alter or disrupt social space in an attempt to reveal existing patterns or truths about our experiences and technologies, and possibilities for richer interactions. Different tactics for intervention and performance will be explored, first through a set of short prompts or experiments, and then through a larger, more thorough intervention.

Technical requirements

A conviction that creative people can derail society for the best, a deep love for code, and a willingness to explore uncomfortable situations. You should at least have taken Introduction to Computational Media or have similar experience with programming.

This four-point course will meet in the first twelve weeks of the semester.

Syllabus

Week 1 (9/9): Data representation and glitch

Week 2-3 (9/16): Social automation and APIs

Week 3 (9/23): Social automation and APIs

Week 4 (9/30): extensions and customization

Week 5 (10/7): extensions and customization

Week 6 (10/21): security, surveillance and privacy

Week 7 (10/28): security, surveillance and privacy

Overview of projects and readings from last week.

Weeks 8-9 (11/4, 11/11): computer vision (face/body/eye tracking with openFrameworks), linguistic analysis

###Weeks 10-12 (11/18, 11/25, 12/2): mobile platforms

Weeks 11 & 12 (11/25, 12/2)