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Scalability limits of large immersive high-resolution displays

机译:大型沉浸式高分辨率显示器的可扩展性限制

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We present the results of a variable information space experiment, targeted at exploring the scalability limits of immersive highresolution, tiled-display walls under physical navigation. Our work is motivated by a lack of evidence supporting the extension of previously established benefits on substantially large, room-shaped displays. Using the Reality Deck, a gigapixel resolution immersive display, as its apparatus, our study spans four display form-factors, starting at 100 megapixels arranged planarly and up to one gi-gapixel in a horizontally immersive setting. We focus on four core tasks: visual search, attribute search, comparisons and pattern finding. We present a quantitative analysis of per-task user performance across the various display conditions. Our results demonstrate improvements in user performance as the display form-factor changes to 600 megapixels. At the 600 megapixel to 1 gigapixel transition, we observe no tangible performance improvements and the visual search task regressed substantially. Additionally, our analysis of subjective mental effort questionnaire responses indicates that subjective user effort grows as the display size increases, validating previous studies on smaller displays. Our analysis of the participants' physical navigation during the study sessions shows an increase in user movement as the display grew. Finally, by visualizing the participants' movement within the display apparatus space, we discover two main approaches (termed “overview” and “detail”) through which users chose to tackle the various data exploration tasks. The results of our study can inform the design of immersive high-resolution display systems and provide insight into how users navigate within these room-sized visualization spaces.
机译:我们提出了可变信息空间实验的结果,旨在探索物理导航下身临其境的高分辨率,平铺显示墙的可扩展性限制。我们缺乏足够的证据来支持在大型的房间形显示器上扩展先前确立的利益,从而推动了我们的工作。我们使用千兆像素分辨率沉浸式显示器Reality Deck作为其设备,跨越了四种显示尺寸,从平面排列的100兆像素开始,到水平沉浸设置中的一个gi-gapixel。我们专注于四个核心任务:视觉搜索,属性搜索,比较和模式查找。我们提供了在各种显示条件下对每任务用户性能的定量分析。我们的结果表明,随着显示尺寸变为600兆像素,用户性能得到了改善。在从600兆像素到1千兆像素的过渡中,我们没有观察到明显的性能提升,并且视觉搜索任务大幅下降。此外,我们对主观脑力劳动问卷调查的分析表明,主观用户的努力随着显示器尺寸的增加而增长,从而验证了以前在较小显示器上的研究。我们对研究期间参与者的身体导航的分析显示,随着显示的增加,用户的移动也在增加。最后,通过可视化参与者在显示设备空间内的运动,我们发现了两种主要方法(称为“概述”和“详细信息”),用户可以通过两种主要方法来解决各种数据探索任务。我们的研究结果可以为沉浸式高分辨率显示系统的设计提供参考,并深入了解用户如何在这些房间大小的可视化空间中导航。

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