| dc.contributor.author | Leong, Joanne | |
| dc.contributor.author | Ledo, David | |
| dc.contributor.author | Driscoll, Thomas | |
| dc.contributor.author | Grossman, Tovi | |
| dc.contributor.author | Fitzmaurice, George | |
| dc.contributor.author | Anderson, Fraser | |
| dc.date.accessioned | 2025-12-09T18:49:31Z | |
| dc.date.available | 2025-12-09T18:49:31Z | |
| dc.date.issued | 2025-04-25 | |
| dc.identifier.isbn | 979-8-4007-1394-1 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/164248 | |
| dc.description | Joanne Leong, David Ledo, Thomas Driscoll, Tovi Grossman, George Fitzmaurice, and Fraser Anderson. 2025. Paratrouper: Exploratory Creation of Character Cast Visuals Using Generative AI. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 189, 1–20. | en_US |
| dc.description.abstract | Great characters are critical to the success of many forms of media, such as comics, games, and films. Designing visually compelling casts of characters requires significant skill and consideration, and there is a lack of specialized tools to support this endeavor. We investigate how AI-driven image-generation techniques can empower creatives to explore a variety of visual design possibilities for individual and groups of characters. Informed by interviews with character designers, Paratrouper is a multi-modal system that enables creating and experimenting with multiple permutations for character casts and visualizing them in various contexts as part of a holistic approach to design. We demonstrate how Paratrouper supports different aspects of the character design process, and share insights from its use by eight creators. Our work highlights the interplay between creative agency and serendipity, as well as the visual interrelationships among character aesthetics. | en_US |
| dc.publisher | ACM|CHI Conference on Human Factors in Computing Systems | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3706598.3714242 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | en_US |
| dc.source | Association for Computing Machinery | en_US |
| dc.title | Paratrouper: Exploratory Creation of Character Cast Visuals Using Generative AI | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Joanne Leong, David Ledo, Thomas Driscoll, Tovi Grossman, George Fitzmaurice, and Fraser Anderson. 2025. Paratrouper: Exploratory Creation of Character Cast Visuals Using Generative AI. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 189, 1–20. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | en_US |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2025-08-01T08:16:05Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2025-08-01T08:16:06Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |