Virtual RFT 2022 - Descriptive and performance measures for a virtual Rod and Frame Test and a gamified spatial orientation task
Contributing person | Josupeit, Judith | |
Contributing person | Judith Josupeit | |
Documentation of the data | Unity and LimeSurvey data frames in csv-files, preprocessed data, description files Data Acquisition: demographic LimeSurvey questionnaire Condition 1 (randomized): virtual RFT Condition 2 (randomized): gamified free exploration City environment Cybersickness baseline: SSQ, MISC Every 2 minutes during VR: MISC Post-experiment: SSQ, MISC 10 Minute break between conditions Data Processing: Preprocession of the Unity data with R, LimeSurvey data filtered, combined with the experimental protocol and preprocessed with R | |
Additional geographical or spatial references | Saxony | |
Countries to which the data refer | GERMANY | |
Description of the data | "VR_RFT_Input" contains Unity-logs and survey data collected between 2022-2023 by J. Josupeit, L. Greim and S. Sanchez Rivas under the experiment title "Replication of Field-Dependency and Cybersickness". The data are structured in 3 folders for each the Unity logs of the free exploration City condition and the virtual RFT condition, as well as the demographic data of the LimeSurvey questionnaire. Aside the folders the experimental protocol and an overview text file are included. The 3 folders contain: "VR_RFT_City" contains 82 data files, one R-script for preprocessing the data, a folder with 81 preprocessed files and a large summary file, and Readme text files to explain the files and variables in the data frames further. "VR_RFT_Limesurvey" contains the unfiltered, filtered, commented and preprocessed survey data files, the R-script for preprocessing, a codebook, lss-files to access the applied LimeSurvey questionnaire and descriptive Readme text files. "VR_RFT_RFT" contains 81 Unity logs, one R-Script for preprocessing, a folder listing the 81 preprocessed files and a large summary file, and 2 Readme text files. | |
Type of the data | Text | |
Type of the data | Dataset | |
Total size of the dataset | 172153315 | |
Author | Andrees, Fabienne | |
Author | Josupeit, Judith | |
Author | Greim, Leonore | |
Author | Sanchez Rivas, Sarah | |
Upload date | 2024-02-09T13:07:39Z | |
Publication date | 2024-03-24T23:01:34Z | |
Publication date | 2026-06-11T15:44:34Z | |
Data of data creation | 2022-2023 | |
Publication date | 2024-03-24 | |
Abstract of the dataset | Virtual environments can cause symptoms ranging from general discomfort to disorientation and nausea (LaViola, 2000). The phenomenon called cybersickness resembles motion sickness (MS) but is visually induced (VIMS) (Muth et al., 2018). Unfortunately screening questionnaires with high prospective power are lacking which makes process indicators an interesting candidate to screen for VIMS. Working models for MS like the Sensory Conflict Theory (Reason & Brand, 1975) – postulating a mismatch in various sensory modalities between expected and actual motion – can be conveyed to VIMS to eyeball the relationships between these concepts. A subsequent theory the Subjective Vertical Mismatch Theory (Bos & Bles, 1998) stresses the importance of the sense of verticality for matching planned and external sensed motion. To test the individual sense of verticality a virtual rod and frame test (physical RFT setup was already described by Witkin and Asch (1948). was developed which measures the field dependency as a marker for the sense of verticality. In the context of MS, a positive correlation with higher field dependence has been found, for VIMS induced by simulators a contrary connection was found, but validations for VIMS or specifically for cybersickness are missing. We postulate a main effect of the virtual environment on reported cybersickness (pre-/post comparison) as a mandatory prerequisite. Moreover, we test the correlation between various metrics of Field dependency sampled with a virtual rod and frame test and the baseline corrected cybersickness self-reports. Cybersickness was sampled in the virtual rod and frame test itself but also in a virtual city environment that tests visuospatial orientation by applying a free exploration task. Hence we are enabled to addtionally control for order effects, which would limit the applicability of the VR RFT as a screening questionnaire. These data do not only serve the purpose of metanalyses and transparency of the original paper but also ethical alleviation. The induction of cybersickness regardless of being voluntarily or involuntarily is a stressful event for participants. Therefore the reuse of research data in this area reduces the need for various stressful experiments, in case reporting is rigorous. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/2655 | |
Public reference to this page | https://doi.org/10.25532/OPARA-283 | |
dc.language | eng | |
Publisher | Technische Universität Dresden | |
Licence | Attribution 4.0 International | |
URI of the licence text | http://creativecommons.org/licenses/by/4.0/ | |
Specification of the discipline(s) | 1::12::110 | |
Title of the dataset | Virtual RFT 2022 - Descriptive and performance measures for a virtual Rod and Frame Test and a gamified spatial orientation task | |
dc.title.alternative | Unity Logs and Survey Data (collected) for "virtual Rod and Frame Test and gamified spatial orientation task" | |
Research instruments | HTC Vive HMD (HTC 2018), dual AMOLED 3.6’’ diagonal display, 1080 x 1200 px per eye, refresh rate 90 Hz. Custom-built computer Intel Core i7-9700K, NVIDIA GeForce RTX 2070, Samsung Galaxy Tab A10.1 touchscreen tablet, 2 Lenovo ThinkPads (T480s and E580) for conducting the FrACT 3.10.5 (Bach, 2007), questionnaires: SSQ (Kennedy et al. 1993), MISC (Bos et al. 2005), LimeSurvey | |
Underlying research object | Of 87 participants in total, 82 could be recorded after the vision tests. 29 male and 53 female. Age 18-66 (M=26.46, SD=8.45). 49 without previous experience with VR. | |
Software | R (Version 3.1.2) | |
Project abstract | This project contains Unity Metadata and questionnaire data, and whenever available eye-tracking data from four studies which are part of the individual promotion by Judith Josupeit. | |
Project title | Interindividual Differences in Cybersickness Susceptibility |
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