Fantin et al. 2024 VR Dataset

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_pre) , after immersion (SSQ_post) and their difference (SSQ_evol).Virtual immersion duration in minutes<i>Igroup Presence Questionnaire </i>scoresPerformance on the <i>Rod and Frame Test </i>before virtual immersion (RFT_pre), after immersion (RFT_post) and the difference between these scores (RFT_evol).