Conducting online virtual environment experiments with uncompensated, unsupervised samples
Conducting online virtual environment experiments with uncompensated, unsupervised samples
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DOI：
10.1371/journal.pone.0227629
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发表时间：
2020-01-30
期刊：
影响因子：
3.7
通讯作者：
Gajos, Krzysztof Z.
中科院分区：
文献类型：
--
作者：
Huber, Bernd;Gajos, Krzysztof Z.
基于Web的无补偿和无监督样本实验允许更大和更多样化的样本群体，更普遍的结果，以及更快的理论实验周期。鉴于参与者是无人监督的，目前尚不清楚在这种情况下收集的数据是否具有足够高的质量来支持可靠的结论。因此，我们研究了使用虚拟环境技术在线进行此类实验的可行性。我们进行了一个概念复制的两个先前的实验，已在虚拟环境中进行。我们的研究结果重复了以前在传统实验室环境中获得的结果。这些结果适用于不同设备类型的参与者（从台式机，通过移动的设备到沉浸式虚拟现实耳机），这表明可以在虚拟环境中使用未补偿的样本在线进行实验。
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.