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VRoot Study Data

This data has been collected during our user study analysing VRoot, an application for immersive root system architecture reconstruction. The study was a human participant mixed design laboratory study (n=20-1). Ethics approval was granted by the University of Trier and the study was conducted under the supervision of Dr. Daniel Zielasko.

The presented data has 19 data points after 1 point in the +W condition was removed

Reference: VRoot: An XR-Based Application for Manual Root System Architecture Reconstruction Dirk Norbert Baker, Tobias Selzner, Jens Henrik Gobbert, Hanno Scharr, Morris Riedel, Ebba Bora Hvannberg, Andrea Schnepf, Daniel Zielasko bioRxiv 2024.06.13.598253; doi: https://doi.org/10.1101/2024.06.13.598253

This data set consists of the following structure:

• noisy_111x111x100.raw: Study data set that was measured, with noise applied to it, this is a volumetric image data set consisting of uint8 data as xz slices, (0.5, 0.5, 1.0) spacing
• study_111x111x100.raw: Study data set that was measured, this is a volumetric image data set consisting of uint8 data as xz slices, (0.5, 0.5, 1.0) spacing
• training_111x111x190.raw: Training data participants learned the study task on, this is a volumetric image data set consisting of uint8 data as xz slices, (0.5, 0.5, 1.0) spacing
• ueq.csv: User Experience Questionnaire evaluation data
• subjective.csv: Other questionnaire evaluation data, NASA Task Load Index Short and System Usability Scale, additionally data set ID, Water noise, and demographic information
• objective.csv: Objective measurements from the root system architecture reconstruction of each participant
• survey.zip.archive: Study description and questionnaires as PDF as well as study logic as XML, within the zip archive
• tracings.zip.archive: The tracings of each participant, both VR and NMRooting, per ID within the zip archive.

Note that the IDs present in the data are not the original participant IDs and have been further anonymized. We have collected and stored the original IDs.