Ouvrai: Opening access to remote VR studies of human behavioral neuroscience
Cesanek, E.; Shivkumar, S.; Ingram, J. N.; Wolpert, D. M.
Show abstract
Modern virtual reality (VR) devices offer 6 degree-of-freedom kinematic data with high spatial and tem-poral resolution, making them powerful tools for research on sensorimotor and cognitive functions. 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 like the WebXR Device API for browser-based VR, with-out compromising on experimental design. Ouvrais features include easy installation, intuitive JavaScript templates, a component library managing front- and back-end processes, and a streamlined workflow. It also integrates APIs for 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. Through three distinct motor learning experiments, we confirm Ouvrais efficiency and viability for conducting remote VR studies.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Heron: A Knowledge Graph editor for intuitive implementation of python based experimental pipelines. 94%
- pyControl: Open source, Python based, hardware and software for controlling behavioural neuroscience experiments. 93%
- Age-dependent predictors of effective reinforcement motor learning across childhood 92%
Similar papers in this journal
- USE: An integrative suite for temporally-precise psychophysical experiments in virtual environments for human, nonhuman, and artificially intelligent agents 98%
- NERV: A Comprehensive Framework for Rapid, Reproducible, and Hardware-Synchronized Neuroscience Experiment Design and Execution 97%
- REVS: A New Open-Source Platform for High-Resolution Analysis of Rodent Wheel Running Behavior 94%
Similar papers in this journal
- Influence of open-source virtual-reality based gaze training on navigation performance in Retinitis pigmentosa patients in a crossover randomized controlled trial 94%
- Avatar error in your favor: Embodied avatars can fix users mistakes without them noticing 94%
- Route selection in non-Euclidean virtual environments 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.