Estimating cybersickness from virtual reality applications

Autor:	Lisa Rebenitsch, Charles B. Owen
Rok vydání:	2020
Předmět:	Demographics Computer science business.industry Linear model Variance (accounting) Virtual reality Residual Computer Graphics and Computer-Aided Design Human-Computer Interaction Computer graphics Software Statistics business
Zdroj:	Virtual Reality. 25:165-174
ISSN:	1434-9957 1359-4338
DOI:	10.1007/s10055-020-00446-6
Popis:	Cybersickness is a known issue in virtual reality affecting a notable percentage of the populations. However, predicting the level and incidence of cybersickness in new systems is difficult. Past publications were analyzed for their factors and resulting cybersickness scores. These factors were then used to develop three predictive models using demographics, software, and hardware factors. Using demographic information alone explained 44.2% of the adjusted variance in a linear model. Using hardware and software factors alone explained 55.3% of the adjusted variance in a linear model. Using demographics, software, and hardware factors did not use a linear model, but rather had an average residual error of 1.03. This residual error is an estimate of how far the predicted cybersickness score is from the actual score.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e25ff5c6878717c7b7b1aca54eb77d10 https://doi.org/10.1007/s10055-020-00446-6 Zobrazit plný text záznamu Full text from SpringerLink