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Kantenbouki VR: A Virtual Reality Authoring Tool for Learning Localized Weather Reporting

机译:Kantenbouki VR:学习本地化天气报告的虚拟现实创作工具

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Localized weather reporting based on human observation is a skill practiced by fishermen, seafarers, airport ground staff, among others. Weather reporting largely depends on accurately identifying cloud types, and judging visibility and distances. This skill is developed by first-hand experience of various weather phenomena. As such, beginners would have difficulty practicing this reporting task without experiencing the phenomena, without proper guidance of experts, and without appropriate tools to support their learning. We present Kantenbouki VR, a virtual reality authoring tool, which can solve various issues in the process of learning weather reporting based on human observation. Using a 360° camera capture as an image background in the application, users can create annotations via freeform drawings accompanied by a cloud type label. To test our idea, we conducted an exploratory design study. Observations and results show that users learned how to use the system quickly, and approached the annotation tasks differently. Features that can be improved include the fidelity of the cloud images, as well as mapping of actions to controller buttons.
机译:基于人类观察的本地化天气报告是渔民,海员,机场地面人员等的技能。天气报告主要取决于准确识别云类型,以及判断可见性和距离。这种技能是由各种天气现象的第一手经验开发的。因此,初学者将难以在不经历现象的情况下练习此报告任务,而无需适当的专家指导,并且没有适当的工具支持他们的学习。我们展示了一个虚拟现实创作工具的Kantenbouki VR,它可以解决基于人类观察学习天气报告过程中的各种问题。在应用程序中使用360°相机捕获作为图像背景,用户可以通过云类型标签伴随的自由形式图纸创建注释。为了测试我们的想法,我们进行了探索性设计研究。观察和结果表明,用户学会了如何快速使用系统,并以不同方式接近注释任务。可以改进的功能包括云图像的保真度,以及对控制器按钮的动作映射。

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