RED: A real-time datalogging toolkit for remote experiments

Sam Adeniyi, Evan Suma Rosenberg, Jerald Thomas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The ability to conduct experiments on virtual reality systems has become increasingly compelling as the world continues to migrate towards remote research, affecting the feasibility of conducting in-person studies with human participants. The Remote Experiment Datalogger (RED) Toolkit is an open-source library designed to simplify the administration of remote experiments requiring continuous real-time data collection. Our design consists of a REST server, implemented using the Flask framework, and a client API for transparent integration with multiple game engines. We foresee the RED Toolkit serving as a building block for the handling of future remote experiments across a multitude of circumstances.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages601-602
Number of pages2
ISBN (Electronic)9780738113678
DOIs
StatePublished - Mar 2021
Event2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2021 - Virtual, Lisbon, Portugal
Duration: Mar 27 2021Apr 3 2021

Publication series

NameProceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2021

Conference

Conference2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2021
Country/TerritoryPortugal
CityVirtual, Lisbon
Period3/27/214/3/21

Bibliographical note

Funding Information:
This material is based upon work supported by the National Science Foundation under Grant No. 1901423.

Publisher Copyright:
© 2021 IEEE.

Keywords

  • HCI design and evaluation methods
  • Human computer interaction (HCI)
  • Human-centered computing
  • Interaction paradigms
  • User studies
  • Virtual reality

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