Augmented Reality for Information Visualisation in Fusion plant monitoring and operations

增强现实（AR）的使用正在增长，预计2018年市场价值将达到178亿美元。研究表明，增强现实（AR）可以在帮助用户设计、导航、操作和监控复杂建筑系统方面发挥重要作用。通过在现实世界的环境和控制上分层信息，在AR的支持下，用户可以更有效、更安全、更准确地执行任务。然而，采用AR仍然存在重大的技术和可用性障碍。对辅助AR的信心仍然很低，特别是在恶劣、苛刻和复杂的环境中，系统通常是不可靠的。例如，b[4]在船舶导航环境中进行AR原型设计时，实验突出了GPS罗盘校准误差、相机夜视挑战、性能问题和磁干扰等导致的准确性和可用性问题，这些问题都导致了操作挑战。AR用例，特别是在核、石化、空间探索、建筑和采矿等恶劣环境中的用例被轻描淡写地评估：该领域基于用户的研究未得到充分利用，历史上关注的是技术，而不是应用bb0。继续提高这些技术的准确性、可接受性和可用性的动机来自于AR在手动环境中帮助用户时可以提供的许多机会。为了实现概念的正式证明，需要对在敌对环境中应用的AR进行强有力的、方法上合理的、技术上和基于用户的评估，以实现行业的潜在利益。这项研究的核心是通过“概念验证”原型在敌对环境中应用和评估AR：这将允许彻底解开挑战、机遇、用户需求和发现阶段关键的技术障碍。基于用户的深度评估将产生数据，以告知我们对关键研究问题的答案。

The use of Augmented Reality (AR) is growing with the market estimated to be worth $17.8bn in 2018 [1]. Studies have shown that Augmented Reality (AR) can play a valuable role in assisting users to design, navigate, operate and monitor complex building systems [2]. By layering information over real world environments and controls, with the support of AR, users can potentially perform tasks more efficiently, safely and accurately. However, there still remain significant technical and usability barriers to adoption of AR. Confidence in assistive AR remains low, particularly in hostile, demanding and complex environments, where systems are often unreliable. For example [4], when prototyping AR in a marine navigation context, experiments have highlighted accuracy and usability issues resulting from GPS compass calibration errors, camera night vision challenges, performance issues and magnetic interference all contributing to operational challenges. AR use cases, particularly in hostile environments such as nuclear, petrochemical, space exploration, construction and mining are lightly evaluated: User based studies in the field are underutilised, with a historic focus on technology, rather than application [3]. The motivation to continue improving the accuracy, acceptance and usability of these technologies arises from the many opportunities AR can offer when assisting users in manual environments. To achieve formal proof of concept, a strong, methodologically sound, technical and user based evaluation of AR applied in hostile environments in required to realise the potential benefits for industry. Central to this research is the application and evaluation of AR in hostile environments through 'proof of concept' prototype: This will allow a thorough unpacking of the challenges, opportunities, user needs and technical obstacles key to the discovery phase. An in depth user based evaluation will yield data to inform our answers to key research questions.