Design-Driven Requirements for Computationally Co-Creative Game AI Design Tools
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Abstract (arXiv)
Game AI designers must manage complex interactions between the AI character, the game world, and the player, while achieving their design visions. Computational co-creativity tools can aid them, but first, AI and HCI researchers must gather requirements and determine design heuristics to build effective co-creative tools. In this work, we present a participatory design study that categorizes and analyzes game AI designers' workflows, goals, and expectations for such tools. We evince deep connections between game AI design and the design of co-creative tools, and present implications for future co-creativity tool research and development.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 7 of its 44 references that are in the map. First posted on arXiv 29 Jul 2021.
Builds on
7 of 44 references.
References · 7
- 2020Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthycited by 183
- 2020Participation is not a Design Fix for Machine Learningcited by 111
- 2019Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creatorscited by 31
- 2019An Interaction Framework for Studying Co-Creative AIcited by 19
- 2021Player-AI Interaction: What Neural Network Games Reveal About AI as Playcited by 8
- 2020Towards Friendly Mixed Initiative Procedural Content Generation: Three Pillars of Industrycited by 5
- 2020Learning the Designer's Preferences to Drive Evolutioncited by 2
Built on by
Citing papers per year: 2022: 1; 2023: 0; 2024: 2.
3 papers.