Projects per year
Abstract
Cutscenes form an integral part of many video games, but their creation is costly, time-consuming, and requires skills that many game developers lack. While AI has been leveraged to semi-automate cutscene production, the results typically lack the internal consistency and uniformity in style that is characteristic of professional human directors. We overcome this shortcoming with Cine-AI, an open-source procedural cinematography toolset capable of generating in-game cutscenes in the style of eminent human directors. Implemented in the popular game engine Unity, Cine-AI features a novel timeline and storyboard interface for design-time manipulation, combined with runtime cinematography automation. Via two user studies, each employing quantitative and qualitative measures, we demonstrate that Cine-AI generates cutscenes that people correctly associate with a target director, while providing above-average usability. Our director imitation dataset is publicly available, and can be extended by users and film enthusiasts.
Original language | English |
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Article number | 223 |
Number of pages | 23 |
Journal | Proceedings of the ACM on Human-Computer Interaction |
Volume | 6 |
Issue number | CHI PLAY |
DOIs | |
Publication status | Published - 29 Oct 2022 |
MoE publication type | A1 Journal article-refereed |
Event | ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play - Bremen, Germany Duration: 2 Nov 2022 → 5 Nov 2022 Conference number: 9 https://chiplay.acm.org/2022/ |
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- 1 Finished
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-: Finnish Center for Artificial Intelligence
Kaski, S. (Principal investigator)
01/01/2019 → 31/12/2022
Project: Academy of Finland: Other research funding