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Selective Attention VR and PC : Data And Analysis

<p><strong>Data and Analysis Repository for</strong></p> <p><strong>Developing Virtual Reality and Computer Screen Experiments One to One Using Selective Attention as a Case Study</strong></p> <p>June 2023, Rasmus Ahmt Hansen and Marta Topor</p> <p>The current repository holds all data and analysis scripts used in the report named above. Data files are saved in .csv format and analysis scripts were written using R and R Markdown.</p> <p>The report preprint can be accessed at:</p> <p>The study aimed to develop a reliable PC control condition for a VR experiment assessing selective attention in grade 0 children.<br> The selective attention task we developed and implemented can be accessed here:</p> <ul> <li>PC :&nbsp;<a href="https://doi.org/10.5281/zenodo.7844487">https://doi.org/10.5281/zenodo.7844487</a></li> <li>VR :&nbsp;<a href="https://doi.org/10.5281/zenodo.7844593">https://doi.org/10.5281/zenodo.7844593</a></li> </ul> <p><strong>Participants</strong></p> <p>73 grade 0 children from Danish primary schools completed the selective attention test in both VR and PC environments. Performance quality was low and thus we only included 19 participants in final analyses. All data, included and excluded, are openly available in this repository.</p> <p><strong>Data</strong></p> <ul> <li>Raw data from the PC condition can be found in the RAW PC folder</li> <li>Raw data from the VR condition can be found in the RAW VR folder</li> <li>Demographic data, anonymised, can be found in the demographics.csv file</li> <li>The final data from the 19 participants included in statistical analyses can be found in the final_data_set.csv file</li> </ul> <p><strong>Analysis</strong></p> <ul> <li>Demographic analyses can be found in the demographics.R file</li> <li>Data processing, quality control and statistical analyses can be found in the full_analysis_script.Rmd</li> <li>The plots folder holds plots used in the study report</li> </ul>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
12
Reuse readiness
8
Engagement
8

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