AI Article Synopsis
- Virtual reality (VR) has become more affordable and accessible, offering various options from simple smartphone inserts to advanced headsets for visualizing complex data.
- While VR enhances data visualization and navigation, its future in scientific research will likely focus on combining data treatment, human cognition, and automated algorithms.
- The authors suggest that VR may soon gain similar prominence in imaging data as machine learning currently enjoys, supporting this with examples of VR applications in research.
Article Abstract
Virtual reality (VR) has recently become an affordable technology. A wide range of options are available to access this unique visualization medium, from simple cardboard inserts for smartphones to truly advanced headsets tracked by external sensors. While it is now possible for any research team to gain access to VR, we can still question what it brings to scientific research. Visualization and the ability to navigate complex three-dimensional data are undoubtedly a gateway to many scientific applications; however, we are convinced that data treatment and numerical simulations, especially those mixing interactions with data, human cognition, and automated algorithms will be the future of VR in scientific research. Moreover, VR might soon merit the same level of attention to imaging data as machine learning currently has. In this short perspective, we discuss approaches that employ VR in scientific research based on some concrete examples.
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| http://dx.doi.org/10.1016/j.jmb.2019.01.033 | DOI Listing |
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