Two paths towards the future of remote studies using social VR

@inproceedings{Saffo2021TwoPathsTowards,
  author    = {Saffo, David and Di~Bartolomeo, Sara and Panavas, Liudas and Yildirim, Caglar and Dunne, Cody},
  booktitle = {Proc.\ 1st XR Remote Research Workshop @ {CHI} 2021},
  title     = {Two paths towards the future of remote studies using social {VR}},
  year      = {2021},
  note      = {Preprint \& supplemental material: https://osf.io/pk2rq},
  series    = {XR-CHI},
  abstract  = {Over the last decade, remote experiments have become a widely used and integral method for many human-computer interaction domains. Nonetheless, extended reality (XR) researchers have been slow to adopt remote research methods. This can largely be attributed to standard remote experimentation techniques being ill-suited for the unique XR domain constraints. Existing research, albeit limited, has aimed to overcome these constraints and demonstrate the viability of traditional remote research methods for XR studies, yet most XR experiments have remained in-lab. This gap in XR methodology has never been more evident or detrimental than during the ongoing global COVID-19 pandemic. During the pandemic, safe and ethical co-present in-lab experimentation has become increasingly difficult, if not impossible. Many researchers struggled to transition to remote research methods resulting in delayed, canceled, or unsatisfactory experiments. Beyond this current crisis, remote research methods present several advantages, such as obtaining a larger sample and accessing specific user populations that have not been leveraged in XR research — leading to missed opportunities and potentially less rigorous results.
               
               Our previous research demonstrated the efficacy of using existing social virtual reality (VR) platforms to implement and conduct remote VR experiments. Social VR platforms provide an experienced and VR-equipped user base to recruit from and customizable distributed synchronous virtual environments to implement experiments, which makes them a natural fit for VR experiments. They allow researchers to be co-present in the same virtual environment as participants to proctor experiments, similar to how they would during a co-present in-lab study. However, existing social VR platforms were not built with this use-case in mind, resulting in several limitations, such as the inability to easily save data externally. These limitations prevent existing social VR platforms from being a viable long-term XR research method.
               
               Our previous work identified two potential paths towards establishing long-term social VR remote research methods. The first potential path is to partner with existing social VR platforms to create official channels for remote studies. The second potential path is to build a bespoke social VR platform specifically for conducting XR remote experiments. We believe both of these paths have their respective strengths and weakness and are viable long-term solutions for remote XR studies. In this position paper, we aim to contribute a detailed discussion of both of these paths, their benefits, limitations, and potential architecture. In so doing, we hope to provide the XR community our insights into how social VR research methods can be expanded and inspiration for the potential future of remote XR research.},
  doi       = {10.31219/osf.io/pk2rq}
}

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