期刊
IEEE ACCESS
卷 9, 期 -, 页码 68898-68904出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3077899
关键词
Cybersickness; Optical imaging; Optical variables measurement; Virtual environments; Biomedical optical imaging; Entropy; Measurement; Virtual reality; cybersickness; head-mounted display; optical flow; field of view
Cybersickness is common in virtual reality experiences with head-mounted displays, but predicting whether a virtual environment will induce it is challenging. This paper introduces a new approach and metric to compare virtual environments' susceptibility to cybersickness, enabling pre-evaluation before user studies. Results show the approach can differentiate between levels of cybersickness and contributing attributes.
Cybersickness, or feelings of nausea, discomfort or unease, are common in virtual reality experiences with head-mounted displays. With the widespread availability of virtual reality headsets across a wide domain of uses including industry, defence, education and the commercial market, is it critical that virtual environments are developed that minimise cybersickness. Unfortunately, determining whether a virtual reality experience will induce cybersickness is difficult. Typically this requires user studies with a completed, or almost completed, virtual environment. This is time consuming and expensive, both to run participant-based user studies and for any rework to the virtual environment needed due to identified issues. As part of modern iterative development processes it would be useful to pre-evaluate virtual environments for cybersickness before engaging user studies. This paper presents a new approach and metric to compare virtual environments' susceptibility to induce cybersickness. The approach combines visual optical flow, an entropy metric of complexity and a cumulative time-series measure. Virtual environments with known cybersickness attributes are used to demonstrate the approach. Results indicate that the approach can successfully differentiate between known levels of cybersickness and attributes contributing to cybersickness, such as motion direction and field of view.
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