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An increasing number of game platforms, such as Roblox, enable game creators to develop user-generated games (UGGs). Yet, these platforms often come under scrutiny for hosting UGGs that contain harmful content, ranging from sexually explicit material to Nazi-themed roleplay. Limited attention has been paid to how harmful UGGs are ideated by game creators. To address this question, we studied an online Roblox creator community, where Roblox creators collectively engage in design ideation to brainstorm design ideas for UGGs. Through an inductive thematic analysis, we found three primary ways where Roblox creators' design ideation becomes risky, including how Roblox creators generate risky game design ideas, navigate through policy boundaries to develop these ideas, and share strategies of bypassing moderation. Based on our findings, we discuss ethical and governance challenges facing user-generated games. We propose design implications to support game creators in developing ethical game design ideas and safe game designs.
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Two-step Constructive Approaches for Dungeon Generation
This paper presents a two-step generative approach for creating dungeons in the rogue-like puzzle game MiniDungeons 2. Gener- ation is split into two steps, initially producing the architectural layout of the level as its walls and floor tiles, and then furnishing it with game objects representing the player’s start and goal position, challenges and rewards. Three layout creators and three furnishers are introduced in this paper, which can be combined in different ways in the two-step generative process for producing diverse dun- geons levels. Layout creators generate the floors and walls of a level, while furnishers populate it with monsters, traps, and treasures. We test the generated levels on several expressivity measures, and in simulations with procedural persona agents.
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- Award ID(s):
- 1717324
- PAR ID:
- 10132615
- Date Published:
- Journal Name:
- FDG Workshop on Procedural Content Generation
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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