A multi-timescale autonomic regulation model for interpreting visually induced motion sickness

For interpreting the emerging process of visually induced motion sickness (VIMS), we propose a multi-timescale autonomic regulation model that consists of trigger and accumulation effects with different timescales. As validation experiments, fifteen participants viewed a 2-min-long first-person-view video section five times (total 10-min) continuously. Measured biosignals were the RR interval, respiration, and blood pressure time-series to estimate the low-frequency (LF) and high-frequency (HF) power components and the LF/HF ratio. Then, we determined the trigger points and the sections that produced some sensation. The results showed that VIMS is first induced by specific trigger factors and increases depending on individual differences in autonomic regulation. The multi-timescale autonomic regulation model, which has independent coordinates for presence and VIMS and represents the short- and long-term effects, seems preferable for interpreting VIMS.