SuSketch: Surrogate Models of Gameplay as a Design Assistant
Not on the map. Why?
Abstract (arXiv)
This paper introduces SuSketch, a design tool for first person shooter levels. SuSketch provides the designer with gameplay predictions for two competing players of specific character classes. The interface allows the designer to work side-by-side with an artificially intelligent creator and to receive varied types of feedback such as path information, predicted balance between players in a complete playthrough, or a predicted heatmap of the locations of player deaths. The system also proactively designs alternatives to the level and class pairing, and presents them to the designer as suggestions that improve the predicted balance of the game. SuSketch offers a new way of integrating machine learning into mixed-initiative co-creation tools, as a surrogate of human play trained on a large corpus of artificial playtraces. A user study with 16 game developers indicated that the tool was easy to use, but also highlighted a need to make SuSketch more accessible and more explainable.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 9 of its 48 references that are in the map. First posted on arXiv 22 Mar 2021.
Builds on
9 of 48 references.
References · 9
- 2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shiftcited by 6,979
- 2016Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizationcited by 6,690
- 2017Procedural Content Generation via Machine Learning (PCGML)cited by 136
- 2020Deep Learning for Procedural Content Generationcited by 73
- 2019Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creatorscited by 31
- 202110 Years of the PCG workshop: Past and Future Trendscited by 6
- 2016Demonstrating the Feasibility of Automatic Game Balancingcited by 5
- 2019Pitako -- Recommending Game Design Elements in Cicerocited by 4
- 2019Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Gamescited by 1
Built on by
Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 2; 2025: 1.
6 papers.
- 2024Large Language Models and Games: A Survey and Roadmapcited by 91
- 2025Position: Interactive Generative Video as Next-Generation Game Enginecited by 13
- 2022TropeTwist: Trope-based Narrative Structure Generationcited by 8
- 2021Procedural Generation of 3D Maps with Snappable Meshescited by 0
- 2023Evolutionary Machine Learning and Gamescited by 0
- 2024Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Reportcited by 0
- 2025Position: Interactive Generative Video as Next-Generation Game Engine21 Mar 2025
- 2024Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report18 Dec 2024
- 2024Large Language Models and Games: A Survey and Roadmap28 Feb 2024
- 2023Evolutionary Machine Learning and Games20 Nov 2023
- 2022TropeTwist: Trope-based Narrative Structure Generation31 Mar 2022
- 2021Procedural Generation of 3D Maps with Snappable Meshes30 Jul 2021