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Landmarks: A solution for spatial navigation and memory experiments in virtual reality.

Michael J Starrett1, Andrew S McAvan2, Derek J Huffman3

  • 1Department of Psychology, University of Arizona, 1503 E. University Blvd, Tucson, AZ, 85721, USA. mjstarrett@gmail.com.

Behavior Research Methods
|September 17, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed Landmarks, a no-code tool for creating virtual reality (VR) spatial navigation experiments in the Unity game engine. This asset package simplifies VR research by integrating game development platforms with experimental design frameworks.

Keywords:
LearningMemoryNavigationSpatial cognitionUnityVirtual reality

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Area of Science:

  • Cognitive Neuroscience
  • Virtual Reality Research
  • Spatial Cognition

Background:

  • Virtual reality (VR) technology, including head-mounted displays (HMDs) and omnidirectional treadmills, enhances the study of spatial cognition and navigation by providing rich, body-based cues.
  • Current VR research tools often rely on complex game engines, demanding significant programming expertise and lacking built-in experimental design frameworks.

Purpose of the Study:

  • To introduce Landmarks, a novel asset package for the Unity game engine designed to streamline the creation of 3D spatial navigation experiments.
  • To offer a user-friendly, no-code solution that also allows for customization and open-source contribution.

Main Methods:

  • Development of the Landmarks asset package for the Unity game engine.
  • Integration of drag-and-drop functionality for ease of use.
  • Provision of options for code-free experiment building, content modification, and open-source collaboration via GitHub.

Main Results:

  • Landmarks provides a flexible and accessible platform for designing and implementing 3D navigation experiments.
  • The package supports both novice users with its no-code interface and advanced users with customization options.
  • Active maintenance and a supplementary wiki with tutorials enhance user support and resource availability.

Conclusions:

  • Landmarks significantly lowers the barrier to entry for conducting VR-based spatial navigation research.
  • The tool facilitates naturalistic studies of learning and memory in 3D environments.
  • Future development and community contributions are expected to further enhance its utility.