Work

OzLand: Exploring Dynamic Generative Game Design with Multi-level Runtime Authorization

Year: 2025

Type: conference-paper

Abstract: Figure 1: Overview of OzLand workflow.i) At the pre-play session, the human game master constructs the scenario and game components with a generative AI assistant, including interactive scenes and NPCs, objects, and game events involved in each scene.ii) The gameplay consists of text-driven role-play interaction.The player declares their action or talk with the NPCs by entering text input, while the LLM-driven system agent progresses the game and generates the output.iii) If an unprepared component is required during runtime, the system agent suggests that the GM pause the game and generate the new component.

Source: ACM Symposium on User Interface Software and Technology (UIST)

DOI: 10.1145/3746058.3758392

Authors: Minji Kim, Youngki Lee

Institution: Seoul National University

Language: English

Topic: Artificial Intelligence in Games

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Research Foundation of Korea

Award: G715560848