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Lauren Lee McCarthy


Info︎

LAUREN works
  1. LAUREN
  2. SOMEONE
  3. LAUREN Portable
  4. Exhibition: What can I do for you?
  5. Exhibition: You Can Say
  6. The Changing Room
  7. Waking Agents
  8. I.A. Suzie

Saliva works
  1. Exhibition: Bodily Autonomy (Saliva Bar)
  2. Saliva Retreat
  3. Saliva
  4. Are You the Perfect Specimen?
  5. Testing

Surrogate works
  1. Surrogate
  2. Exhibition: Data Relations
  3. Exhibition: Reproduction Otherwise
  4. Surrogate Performance
  5. Womb Walk

Autonomous works
  1. Voice In My Head
  2. Driverless
  3. Unlearning Language
  4. HOST
  5. Seeing Voices

Muted works
  1. Exhibition: I Heard Talking Is Dangerous
  2. Muted
  3. I heard TALKING IS DANGEROUS
  4. Good Night
  5. Good Morning
  6. What do you want me to say?
  7. Sleepover
  8. Later Date
  9. Appreciate You

Other recent works
  1. Follower
  2. Social Turkers
  3. Vibe Check
  4. I’m glad you asked
  5. Autoreply
  6. pplkpr
  7. us+

Teaching & pedagogy
  1. p5.js
  2. Open Source Software Toolkits for the Arts Report
  3. Web We Want (W3C TPAC)
  4. Smarter Home
  5. Network Media
  6. Performing User
  7. Senior Capstone
  8. Disability, Design, and the Web
  9. Interactivity
  10. Conversation & Computation
  11. Social Hacking
  12. Critical APIs
  13. Computational Media
  14. Introduction to Programming for the Visual Arts (Free online course)

Archive
  1. Beyond the Breakdown
  2. How We Act Together
  3. Wake Words
  4. Friend Crawl
  5. Welcomer
  6. M/WITM
  7. The Changing Room: Brisbane
  8. Social Soul
  9. You Can Say
  10. Tools for Improved Social Interacting
  11. Inactive Account Manager
  12. Facebook Mood Manipulator
  13. LOVEINT
  14. SCRIPT

Mark

us+

Lauren Lee McCarthy and Kyle McDonald

us+ is a Google Hangout video chat app that uses audio, facial expression, and linguistic analysis to optimize conversations based on the Linguistic Inquiry Word Count (LIWC) database, and the concept of Linguistic Style Matching (LSM). The app displays a visualization, provides pop up notifications to each participant, and takes actions (like auto-muting) when the conversation gets out of balance.



The linguistic analysis is based on Linguistic Inquiry Word Count (LIWC) and Linguistic Style Matching (LSM), and inspired by work done with Sosolimited.

Thank you
 Erqi Pollom, Susan Lee, Aurelia Moser, Ekene Ijeoma, Jamie Zigelbaum, David Leonard

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