Presentation
Heads Up! Using Head Sway Data to Predict VR Motion Sickness
DescriptionPrevious exposure to cybersickness is regularly cited as a reason for not wanting to adopt VR platforms (Laurell et al., 2019). This study evaluated how changes to a user’s head motions, both in rotation and position, could be used as a predictor of cybersickness.
This study examined data from 36 individuals who each participated in four trials of data collection. Each trial involved one of four different locomotion techniques. The order of the locomotion conditions was balanced across participants. Head sway data was collected, comparing it with the subjective assessments gathered. These were analyzed by splitting the population into two groups. Those who proved susceptible to cybersickness and those who were not. Participant’s data were passed through a principal component analysis (PCA) to determine which factors had the highest correlation with the VRSQ scores.
Preliminary findings showed confirmation of the anecdotal evidence, and showed a decrease in variance and range of head motion along the X (pitch) axis as VRSQ scores grew. Preliminary data also showed that total magnitude of head motion along specific axes also decreased as VRSQ scores rose.
This model can be used in order to further analyze the causes of cybersickness within VR and AR applications.
This study examined data from 36 individuals who each participated in four trials of data collection. Each trial involved one of four different locomotion techniques. The order of the locomotion conditions was balanced across participants. Head sway data was collected, comparing it with the subjective assessments gathered. These were analyzed by splitting the population into two groups. Those who proved susceptible to cybersickness and those who were not. Participant’s data were passed through a principal component analysis (PCA) to determine which factors had the highest correlation with the VRSQ scores.
Preliminary findings showed confirmation of the anecdotal evidence, and showed a decrease in variance and range of head motion along the X (pitch) axis as VRSQ scores grew. Preliminary data also showed that total magnitude of head motion along specific axes also decreased as VRSQ scores rose.
This model can be used in order to further analyze the causes of cybersickness within VR and AR applications.
Event Type
Lecture
TimeThursday, October 16th11:50am - 12:10pm CDT
LocationGrand Hall L
Extended Reality
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