Fantin et al. 2024 VR Dataset
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This spreadsheet contains the dataset used in the works of Fantin et al (2024) for the study of odor imagery and its effects on VR-induced cybersickness. This data was already preprocessed following the methodology described in the methods section of the submitted article.<br>The first sheet consists in descriptive data, and contains (from left to right) : Subject IDScores on the french version of the VOIQ<i>Motion sickness susceptibility questionnaire </i>scores<i>Visually induced motion sickness susceptibility </i>scores<i>Immersive tendencies questionnaire </i>scores Amount of successfully generated odor images during the first visit (0 - 7)Mean pleasantness of the successful odor images (1 - 4)Mean intensity of the odor images (1 - 4)The second sheet is data used for the Linear Mixed Effects model. It contains, from left to right :Subject IDVisit (1 or 2)Subject SexScores on the <i>Simulator sickness questionnaire </i>before immersion (SSQ<sub>pre</sub>) , after immersion (SSQ<sub>post</sub>) and their difference (SSQ<sub>evol</sub>).Virtual immersion duration in minutes<i>Igroup Presence Questionnaire </i>scoresPerformance on the <i>Rod and Frame Test </i>before virtual immersion (RFT<sub>pre</sub>), after immersion (RFT<sub>post</sub>) and the difference between these scores (RFT<sub>evol</sub>).
