Author
Listed:
- Evan Cesanek
(Columbia University)
- Sabyasachi Shivkumar
(Columbia University)
- James N. Ingram
(Columbia University)
- Daniel M. Wolpert
(Columbia University)
Abstract
Modern virtual reality (VR) devices record six-degree-of-freedom kinematic data with high spatial and temporal resolution and display high-resolution stereoscopic three-dimensional graphics. These capabilities make VR a powerful tool for many types of behavioural research, including studies of sensorimotor, perceptual and cognitive functions. Here we introduce Ouvrai, an open-source solution that facilitates the design and execution of remote VR studies, capitalizing on the surge in VR headset ownership. This tool allows researchers to develop sophisticated experiments using cutting-edge web technologies such as WebXR to enable browser-based VR, without compromising on experimental design. Ouvrai’s features include easy installation, intuitive JavaScript templates, a component library managing front- and backend processes and a streamlined workflow. It integrates with Firebase, Prolific and Amazon Mechanical Turk and provides data processing utilities for analysis. Unlike other tools, Ouvrai remains free, with researchers managing their web hosting and cloud database via personal Firebase accounts. Ouvrai is not limited to VR studies; researchers can also develop and run desktop or touchscreen studies using the same streamlined workflow. Through three distinct motor learning experiments, we confirm Ouvrai’s efficiency and viability for conducting remote VR studies.
Suggested Citation
Evan Cesanek & Sabyasachi Shivkumar & James N. Ingram & Daniel M. Wolpert, 2024.
"Ouvrai opens access to remote virtual reality studies of human behavioural neuroscience,"
Nature Human Behaviour, Nature, vol. 8(6), pages 1209-1224, June.
Handle:
RePEc:nat:nathum:v:8:y:2024:i:6:d:10.1038_s41562-024-01834-7
DOI: 10.1038/s41562-024-01834-7
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