MOSKIT: Motion sickness analysis platform for VR games
Sang-Ho Lee, Ashley Koo, Junekyo Jhung · 2017
This paper introduces MOSKIT, a motion sickness analysis platform for VR gaming content. Using the proposed platform, software developers will be able to significantly reduce MS without looking to hardware for updates. The paper has investigated three known main contributors to motion sickness: system configuration, device orientation, and interaction among objects. Our findings strongly suggest that adapting the analysis of MOSKIT to the software's production pipeline enables developers to identify and effectively eliminate any main source of motion sickness in their gaming content.