Predicting the degree of sickness is an imperative goal to guarantee viewing safety when watching virtual reality (VR) contents. Ideally, such predictive models should be explained in terms of the human visual system (HVS). When viewing VR contents using a head mounted display (HMD), there is a conflict between user's actual motion and visually perceived motion. This results in an unnatural visual-vestibular sensory mismatch that causes side effects such as onset of nausea, oculomotor, disorientation, asthenopia (eyestrain). In this paper, we propose a framework called VR sickness predictor (VRSP) using the interaction model between user's motion and the vestibular system. VRSP extracts two types of features: a) perceptual motion feature through a visual-vestibular interaction model, and b) statistical content feature that affects user motion perception. Furthermore, we build a VR sickness database including 36 virtual scenes to evaluate the performance of VRSP. Through rigorous experiments, we demonstrate that the correlation between the proposed model and the subjective sickness score yields 72 %.
|Title of host publication||2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2018 Sep 11|
|Event||10th International Conference on Quality of Multimedia Experience, QoMEX 2018 - Sardinia, Italy|
Duration: 2018 May 29 → 2018 Jun 1
|Name||2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018|
|Other||10th International Conference on Quality of Multimedia Experience, QoMEX 2018|
|Period||18/5/29 → 18/6/1|
Bibliographical noteFunding Information:
This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No.2018-0-00289, Development of a method for regulating human-factor parameters for reducing VR-induced sickness)
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Media Technology
- Safety, Risk, Reliability and Quality