Many research testbeds are created with specific studies in mind, which limits their use for cross-disciplinary research. This paper introduces MazeWorld, an open-source, multiplayer Unity virtual environment application designed to accommodate multiple research disciplines. In MazeWorld, three players take on specific interdependent roles to solve a maze-based challenge and speak via an audio channel. Features of the maze, the player avatars, and task difficulty can be varied per the researcher’s goals. MazeWorld can be played using a virtual reality headset, and players each use their own device. MazeWorld, a research testbed, logs player behaviors and game states extensively.

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MazeWorld: A Multiplayer 3D Research Testbed for Human Teaming, AI Agent Integration, and Multiple XR Disciplines

  • Stephen J. Fieffer,
  • Miki Matsumuro,
  • Amanda K. Newendorp,
  • Surya Sharma,
  • Jonathan Isaac Segal,
  • Lucas A. Lovig,
  • Ghazal Shah Abadi,
  • Ashley B. Deal,
  • Hila Sabouni,
  • Maral Jafari Ranjbar,
  • Nina Lauharatanahirun,
  • Michael C. Dorneich,
  • Andrea Stevenson Won,
  • Stephen B. Gilbert

摘要

Many research testbeds are created with specific studies in mind, which limits their use for cross-disciplinary research. This paper introduces MazeWorld, an open-source, multiplayer Unity virtual environment application designed to accommodate multiple research disciplines. In MazeWorld, three players take on specific interdependent roles to solve a maze-based challenge and speak via an audio channel. Features of the maze, the player avatars, and task difficulty can be varied per the researcher’s goals. MazeWorld can be played using a virtual reality headset, and players each use their own device. MazeWorld, a research testbed, logs player behaviors and game states extensively.