This page presents videos associated with a human subject study focused on evaluating a new hybrid Procedural Content Generation (PCG) technique referred to as Graph+GAN: The use of a generative graph grammar to define a mission for a dungeon crawling game, whose rooms are then specified by sampling from the latent space of a generative adversarial network (GAN) trained on level data from the original Legend of Zelda video game (adapted from the Video Game Level Corpus). Participants in the study played a Graph+GAN dungeon using a simple ASCII-based Rogue-like game engine. For comparison, they also played two other dungeons. One was a dungeon generated using the same graph grammar, but with prefabricated rooms from the original Legend of Zelda. The other was Dungeon 4 from the original Legend of Zelda, adapted to be playable in the Rogue-like engine.
This research was conducted by Jake Gutierrez as part of Southwestern University's Summer research program
SCOPE. All code is part of the MM-NEAT repository, whose source code is available via GitHub here (get release 3.2 for binaries).
Supplementary Figure
This figure is included in the end of the extended version of the publication available on this page, but absent from the officially published IEEE version: Supplemental Material
Video Presentations
Video presentation prepared by Jake Gutierrez for the
Congress on Evolutionary Computation, which was part of the World Congress on Evolutionary Computation.
The conference shifted to a virtual format due to the COVID-19 pandemic.
Video presentation prepared by Jake Gutierrez for the
Southwestern University Research and Creative Works Symposium.
The symposium shifted to a virtual format due to the COVID-19 pandemic.
Human Subject Sessions in Graph+GAN Dungeons
Videos of sessions from all 30 participants in the human subject study are included in the playlist below.
These videos show sessions in Graph+GAN dungeons.
Human Subject Sessions in Graph Dungeons (Rooms From Original Game)
Videos of sessions from all 30 participants in the human subject study are included in the playlist below.
These videos show sessions in pure Graph dungeons. The GAN was not used. Instead, rooms were randomly sampled from those present in the original game The Legend of Zelda.
Human Subject Sessions in Original Dungeon 4
Videos of sessions from all 30 participants in the human subject study are included in the playlist below.
These videos show sessions in Dungeon 4 of the original Legend of Zelda, adapted for the Rogue-like engine.
Note that Subject 6 actually failed to beat the dungeon on the first attempt, and thus was allowed to try again.