Prelude - a study bridging user and developer understanding of network delivery of advanced interactive content

Prelude研究旨在利用以人为中心的研究和设计来解决向目标用户提供关于网络延迟的复杂问题的良好理解的问题-特别强调这可能对先进的高度交互的视觉环境(如VR、AR、MR和360视频(蜂窝))的最终用户体验质量(QOE)产生的影响。这项研究的目标用户将是蜂巢的实施者、积极开发或赞助蜂巢的企业的管理者和该行业的投资者，即那些受到糟糕的QOE影响的人，他们将被交付给最终消费者。普渡大学(Y Charlie Hu 2017 ACM)进行了详细的研究，表明在今天的移动硬件和无线网络上，通过本地渲染或卸载可以实现高质量VR应用的QOE距离可接受的QOE大约10倍，但仍在等待未来的移动硬件或下一代无线网络(例如，OMM正在开发一个回归测试平台，允许这类应用的开发者根据实际测量的网络性能在模拟的交付基础设施中测试它们，从而在开发周期的早期识别QOE关注的领域，从而允许及早缓解，降低成本和风险。目前，可以想象的高度交互的视觉环境远远超过了向平板电脑和智能手机等不受限制的设备提供服务的能力，由于这种交付和性能差距，商业风险很高。早期的研究和正在进行的工作表明，很难向大多数可能受益的潜在用户展示这个问题和我们开发的有针对性的解决方案。这项研究解决了这一陈述/理解差距。

"The Prelude study aims to use human centred research and design to address the issue of delivering good target user understanding of complex issues around network latency - with particular emphasis on the impact this can have on end user quality of experience (QoE) for advanced highly interactive visual environments such as VR, AR, MR and 360 video (HIVEs). The typical 'user' targeted by this study will be implementers of HIVEs, managers of enterprises active in developing or sponsoring HIVEs and investors in the sector, ie those impacted by poor QoE delivered to ultimate end consumer.Purdue University (Y Charlie Hu 2017 ACM) has done detailed research to show that the QoE achievable for high quality VR applications on today's mobile hardware and wireless networks via local rendering or offloading is about 10X away from the acceptable QoE, yet waiting for future mobile hardware or next-generation wireless networks (e.g., 5G) is unlikely to help.OMM is developing a regression testing platform which permits developers of such applications to test them against a simulated delivery infrastructure based on actual measured network performance thereby identifying areas of QoE concern early in the development cycle and thus permitting early mitigation, reducing costs and risks. At the moment conceivable highly interactive visual environments far exceed the ability to deliver to untethered devices such as tablets and smartphones and the commercial risks are high due to this delivery and performance gap.Earlier studies and ongoing work have shown it to be hard to present this issue and the targeted solution we have developed to most potential users who might benefit. This study addresses this presentation / understanding gap."