The Computational Design Lab is a research group in the Computer Science Department of Columbia University. It's goal is to build AI tools that enhance people's productivity. The three main approaches are to:

  • discover principles of successful solutions
  • design better solutions through brainstorming, synthesis, and iteration
  • communicate complex ideas more easily with visual symbols and well-grounded prose


People



Lydia Chilton

Lydia B. Chilton
Professor, PI
Robert Soden

Dr. Robert Soden
Post-doc (pre-faculty at U Toronto)
Katy Gero

Katy Gero
PhD Student
Savvas Petridis

Savvas Petridis
PhD Student

How does Computational Design enhance productivity?

Design is the process for solving problems. It is used in disiplines ranging from architecture to software to graphic design. Experts follow the design process, yet the exact mechanisms for how and why it works remain a mystery. Although brainstorming helps generate more ideas, how do those ideas result in workable solutions?

To solve problems more systematically we need to understand the design process at a computational level. What individual skills or tasks does it require and how should be be combined to transform an input into an output that solves the problem.

Having a computation model of design enables:

  • faster problem solving,
  • collaboration among large groups,
  • optimization through systematic exploration of the space,
  • avoiding pitfalls such as fixation on one solution to the problem

Two current project in the computational design space are:




Publications

HAI-GEN 2020: Human-AI Co-Creation with Generative Models (Workshop)
Werner Geyer, Lydia B. Chilton, Ranjitha Kumar, Tauman Adam Kalai
IUI 2020

Addressing the Accessibility of Social Media (Workshop)
Cole Gleason, Patrick Harrington, Benjamin M. Gorman, Andres Monroy-Hernandez, Garreth Tigwell, Lydia B. Chilton, Hernisa Kacorri, Meredith Ringel Morris, Shaomei Wu
CSCW 2019

WordBlender: Principles and Tools for Generating Word Blends
Sam H. Ross, Ecenaz Jen Ozmen, Maria Kogan, Lydia B. Chilton
Under submission

VisiFit: AI Tools to Iteratively Improve Visual Blends
Lydia B. Chilton, Ecenaz Jen Ozmen, Sam H. Ross
Under submission

Low Level Linguistic Controls for Style Transfer and Content Preservation
Katy Gero, Chris Kedzie, Jonathan Reeve and Lydia B. Chilton
INLG 2019

Making Memes Accessible ASSETS 2019.
Cole Gleason, Amy Pavel, Xingyu Liu, Patrick Carrington, Lydia B. Chilton, Jeffrey P. Bigham.
ASSETS 2019

Human Errors in Interpretation of Visual Metaphors
Savvas D. Petridis, Lydia B. Chilton.
Creativity & Cognition 2019

VisiBlends: An Interactive Pipeline for Creating Visual Blends (Short Version)
Lydia B. Chilton, Savvas D. Petridis, Maneesh Agrawala.
Collective Intelligence 2019.

VisiBlends: An Interactive Pipeline for Creating Visual Blends
Lydia B. Chilton, Savvas D. Petridis, Maneesh Agrawala.
CHI 2019

Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing
Jim Chen, Jonathan Bragg, Lydia B. Chilton, Daniel S. Weld.
CHI 2019

Metaphoria: An Algorithmic Companion for Metaphor Creation.
Katy Gero, Lydia B. Chilton
CHI 2019

MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy
Ryan Drapeau, Lydia B. Chilton, Jonathan Bragg, Daniel S. Weld
HCOMP 2016

HumorTools: A Microtask Workflow for Generating News Satire
Lydia B. Chilton, Daniel S. Weld, James A. Landay.
In submission.

Frenzy: Collaborative Data Organization for Creating Conference Sessions
Lydia B. Chilton, Juho Kim, Paul Andre, Felicia Cordeiro, James A. Landay , Daniel S. Weld, Steven P. Dow, Robert C. Miller, Haoqi Zhang.
Full Paper at CHI 2014. Honorable Mention for Best Paper

Cascade: Crowdsourcing Taxonomy Creation
Lydia B. Chilton, Greg Little, Darren Edge, Daniel S. Weld, James A. Landay.
Full Paper at CHI 2013.

Community clustering: Leveraging an academic crowd to form coherent conference sessions.
Paul Andre, Haoqi Zhang, Juho Kim, Lydia B. Chilton, Steven P. Dow, and Robert C. Miller.
HCOMP 2013. Honorable Mention for Best Paper

Cobi: A community-informed conference scheduling tool.
Juho Kim, Haoqi Zhang, Paul André, Lydia B. Chilton, Wendy Mackay, Michel Beaudouin-Lafon, Robert C. Miller, and Steven P. Dow.
Full paper at UIST 2013.

Addressing Users' Queries directly in the Web Search Results
Lydia B. Chilton, Jaime Teevan
Full paper at WWW 2011.

Task Search in a Human Computation Market
Lydia B. Chilton, John J. Horton, Robert C. Miller, Shiri Azenkot.
Full paper at KDD-HCOMP 2010.

Exploring Iterative and Parallel Human Computation Processes
Greg Little, Lydia B. Chilton, Max Goldman, Robert C. Miller.
Full paper at KDD-HCOMP 2010.

TurKit: Human Computation Algorithms on Mechanical Turk
Greg Little, Lydia B. Chilton, Max Goldman, Robert C. Miller.
Full paper at UIST 2010.

The Labor Economics of Paid Crowdsourcing
John J. Horton, Lydia B. Chilton
Full paper at ACM E-Commerce 2010.

Seaweed: A web application for designing economic games.
Lydia B. Chilton, Clayton T. Sims, Max Goldman, Greg Little, and Robert C. Miller.
SIGKDD HCOMP 2009.

Tabulator: Exploring and analyzing linked data on the semantic web.
Tim Berners-Lee, Yuhsin Chen, Lydia B. Chilton, Dan Connolly, Ruth Dhanaraj, James Hollenbach, Adam Lerer, and David Sheets.
Semantic Web User Interaction Workshop, 2006.

Why We Customize the Web
Lydia B. Chilton, Robert C. Miller, Greg Little, and Chen-Hsiang Yu.
Chapter In A. Cypher, M. Dontcheva, T. Lau, and J. Nichols, eds., No Code Required: Giving Users Tools to Transform the Web, Elsevier, 2010.

Rewriting the Web with Chickenfoot
Robert C. Miller, Michael Bolin, Lydia B. Chilton, Greg Little, Matthew Webber, and Chen-Hsiang Yu.
Chapter In A. Cypher, M. Dontcheva, T. Lau, and J. Nichols, eds. No Code Required: Giving Users Tools to Transform the Web, Elsevier, 2010.

Talks and slides

We're happy to share source materials for any of the talks over email. You can browse the slideshare to see if it's interesting to you. Note that the slideshares to not contain any of the videos or gifs.

What is Design?

AI Tools for Creative Work
Video of my talk at the University of Washington DUB seminar October 2, 2019

The UI of AI

Crowdsourcing Visual Ads

HumorTools: A workflow for crowdsourcing humor