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Conducting online virtual environment experiments with uncompensated, unsupervised samples

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  • Bernd Huber
  • Krzysztof Z Gajos

Abstract

Web-based experimentation with uncompensated and unsupervised samples allows for a larger and more diverse sample population, more generalizable results, and faster theory to experiment cycle. Given that participants are unsupervised, it is still unknown whether the data collected in such settings would be of sufficiently high quality to support robust conclusions. Therefore, we investigated the feasibility of conducting such experiments online using virtual environment technologies. We conducted a conceptual replication of two prior experiments that have been conducted in virtual environments. Our results replicate findings previously obtained in conventional laboratory settings. These results hold across different device types of participants (ranging from desktop, through mobile devices to immersive virtual reality headsets), suggesting that experiments can be conducted online with uncompensated samples in virtual environments.

Suggested Citation

  • Bernd Huber & Krzysztof Z Gajos, 2020. "Conducting online virtual environment experiments with uncompensated, unsupervised samples," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-17, January.
    • Handle: RePEc:plo:pone00:0227629
    DOI: 10.1371/journal.pone.0227629
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    References listed on IDEAS

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    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
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    1. Petya Ventsislavova & David Crundall & Pedro Garcia-Fernandez & Candida Castro, 2021. "Assessing Willingness to Engage in Risky Driving Behaviour Using Naturalistic Driving Footage: The Role of Age and Gender," IJERPH, MDPI, vol. 18(19), pages 1-20, September.

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