From: Machine learning methods for the study of cybersickness: a systematic review
Database search | |
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Electronic database | 1. Pubmed 2. Google Scholar 3. IEEE Xplore |
Inclusion criteria | 1. Articles that develop or validate a prediction or detection model using any data source, e.g., individual patient data or from electronic records 2. Studies must utilize a stimulus with a virtual visual medium 3. Any machine learning analysis and physiological processing or physical measures of body/eye movement collected from wearable devices for the classification of cybersickness 4. All outcome measures in any format, e.g., continuous, binary, ordinal, multinomial, time-to-event |
Exclusion criteria | 1. Studies using machine learning to classify only non-physiological data, e.g., VR content or questionnaire scores 2. Studies that only investigate physiological correlations with cybersickness as a form of knowledge discovery 3. Reviews, Concept papers and abstracts 4. Full text not available |