While there was a main effect of Gender [F(step one, 42) = 4.13, p E ( R e c o v e r y S S Q T S ) = ? 2.51 + ? I P D F i t + 4.66 ? M o t i o n S i c k n e s s H i s t o r y
It design means that IPD low-match and you will action problems records try absolutely correlated that have cybersickness, which have IPD non-fit as being the most influential adjustable. Which design taken into account 42.0% of your own variability within the cybersickness. Follow-right up analyses revealed that new model passed the fresh new presumptions off several regression along with normality and you will freedom out-of residuals.
Try out step one Realization
The primary finding from Experiment 1 is that the most significant driver of gender differences in cybersickness was IPD non-fit, with motion sickness history also contributing. The IPD differences found in the sample population under evaluation in this study are summarized in Table 7. The table includes the number of individuals in each condition for which the HTC Vive IPD adjustable range could not be fit to the participant’s IPD. The average male IPD (mean = ; S.D. = 2.99) was 4.1% wider than females (mean = ; S.D. = 3.52) and this difference was significant [F(step one, 28) = 5.13, p = 0.031].