An Interaction Framework for Studying Co-Creative AI

Mixed-initiative interaction

JE Allen, Curry I Guinn, and E Horvtz. 1999 · 1999

Earlier work this paper cites.

How can computers be partners in the creative process: classification and commentary on the special issue

Todd Lubart. 2005 · 2005

Earlier work this paper cites.

From Isolation to Involvement: Adapting Machine Creativity Software to Support Human-Computer Co-Creation.. In ICCC . 1–7

Anna Kantosalo, Jukka M Toivanen, Ping Xiao, and Hannu Toivonen. 2014 · 2014

Earlier work this paper cites.

An enactive model of creativity for computational collaboration and co-creation

Nicholas Davis, Chih-Pin Hsiao, Yanna Popova, and Brian Magerko. 2015 · 2015

Earlier work this paper cites.

A neural algorithm of artistic style

Original

Leon A Gatys, Alexander S Ecker, and Matthias Bethge. 2015 · 2015

Earlier work this paper cites.

Human-machine collaboration in cancer and beyond: the centaur care model

Ian M Goldstein, Julie Lawrence, and Adam S Miner. 2017 · 2017

Earlier work this paper cites.

Bringing impressionism to life with neural style transfer in come swim. In Proceedings of the ACM SIGGRAPH Digital Production Symposium . ACM, 5

Bhautik Joshi, Kristen Stewart, and David Shapiro. 2017 · 2017

Cited alongside, same era.

Procedural Content Generation via Machine Learning (PCGML)

Original

Adam Summerville, Sam Snodgrass, Matthew Guzdial, Christoffer Holmgård, Amy K Hoover, Aaron Isaksen, Andy Nealen, and Julian Togelius. 2017 · 2017

Cited alongside, same era.

Fostering creativity in the mixed-initiative evolutionary dungeon designer. In Proceedings of the 13th International Conference on the Foundations of Digital Games . ACM, 50

Alberto Alvarez, Steve Dahlskog, Jose Font, Johan Holmberg, Chelsi Nolasco, and Axel Österman. 2018 · 2018

Cited alongside, same era.

Co-Creative Level Design via Machine Learning

Original

Matthew Guzdial, Nicholas Liao, and Mark Riedl. 2018a · 2018

Cited alongside, same era.

Event representations for automated story generation with deep neural nets. In Thirty-Second AAAI Conference on Artificial Intelligence

Lara J Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, and Mark O Riedl. 2018 · 2018

Later among the works it cites.

Statistical parametric speech synthesis incorporating generative adversarial networks

Yuki Saito, Shinnosuke Takamichi, and Hiroshi Saruwatari. 2018 · 2018

Later among the works it cites.

Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation

Jichen Zhu, Antonios Liapis, Sebastian Risi, Rafael Bidarra, and G Michael Youngblood. 2018 · 2018

Later among the works it cites.

Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions. In Proceedings of the International Conference on Intelligence User Interfaces

Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, and Mark Riedl. 2019 · 2019

Closest in time.

Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators