WhoBuilt

Artist Lauren McCarthy Will Be Your Home's Brain

Sep 4, 2017· 49 min· 3.5K views·Watch on YouTube

Speaker

Artist and UCLA Design Media Arts assistant professor Lauren McCarthy talks with a Y Combinator host about social interaction, inclusive creative tools, and what human-run smart homes might feel like.

Using performance to test social rules

In Social Turkers, McCarthy streamed blind dates and paid online workers to send her instructions during them. Following those prompts felt uncomfortable at first, but helped her see how narrowly she defined her own identity. She says the experience briefly left her unsure how to make dating decisions without guidance.

Designing tools for broader participation

McCarthy says p5.js was built around making people feel welcome, including those new to coding. She points to clear language, extensive documentation, code comments, and outreach as ways to lower barriers. The project also adapts examples and teaching metaphors to different communities and languages.

Making algorithmic influence tangible

Her Mood Manipulator browser add-on let users choose a desired mood and filtered Facebook posts using word categories from LIWC, the method used in a Facebook mood study. In Us+, a Hangouts extension with Kyle McDonald, conversation and facial cues prompted feedback, and the tool could mute someone who talked too much. McCarthy says these projects explore how people come to trust systems, even when the systems are unreliable.

Putting a human inside the smart home

McCarthy is developing Lauren, a short home performance in which she would monitor residents and control connected devices, such as lights, a shower, or a door lock. She expects participants to have a consultation first and says the experience may last around three days. The project asks who performs the unseen labor behind automated services and whether emotional attention is harder to automate than complex tasks.

Leaving room for uncertainty and humor

McCarthy uses humor to help people pause and imagine the consequences of technology, rather than quickly labeling it good or bad. Her projects can feel unsettling and pleasant at once, such as following someone while sharing location and having a sweet experience. For people starting out, she recommends experimenting with tools like p5.js, Processing, openFrameworks, and Arduino, and finding a distinct perspective.

Takeaways

  • Treat welcome and accessibility as design goals from the start, not additions after a tool is built.
  • Clear documentation and readable code can make it easier for beginners to contribute.
  • A prototype can reveal how people respond to a system, including how trust persists when it behaves inconsistently.
  • When evaluating automation, consider whose labor remains hidden and how emotional care affects the experience.
  • Use humor and hands-on experiments to help people consider technology's consequences without forcing a simple verdict.

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