A method for predicting cybersickness in virtual reality using multimodal and time-series data includes: receiving, by a prediction apparatus, subject information associated with a subject; inputting, by the prediction apparatus, the subject information into a neural network model; and predicting, by the prediction apparatus, a cybersickness level of the subject based on an output of the neural network model. The subject information comprises eye movement data, head movement data, and physiological signal data. The neural network model is a transformer-based model configured to perform multi-head attention.