Scalability limits of large immersive high-resolution displays

C. Papadopoulos, Seyedkoosha Mirhosseini, Ievgeniia Gutenko, Kaloian Petkov, A. Kaufman, B. Laha
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引用次数: 6

Abstract

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.
大型沉浸式高分辨率显示器的可扩展性限制
我们展示了一项变量信息空间实验的结果,旨在探索沉浸式高分辨率平铺显示墙在物理导航下的可扩展性限制。我们的工作的动机是缺乏证据支持先前确定的好处扩展到实质上的大,房间形状的显示器。使用现实甲板,一个十亿像素分辨率的沉浸式显示器,作为它的设备,我们的研究跨越了四种显示形式因素,从平面排列的1亿像素到水平沉浸式设置的1亿像素。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。我们在不同的显示条件下对每个任务的用户性能进行了定量分析。我们的研究结果表明,当显示尺寸变化到6亿像素时,用户性能得到了改善。在6亿像素到10亿像素的转换过程中,我们没有观察到明显的性能改进,视觉搜索任务明显退化。此外,我们对主观心理努力问卷调查结果的分析表明,随着显示器尺寸的增加,主观用户努力也会增加,这验证了之前关于较小显示器的研究。我们对参与者在学习期间的物理导航的分析显示,随着屏幕的增长,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“细节”),用户通过这些方法选择处理各种数据探索任务。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信息,并提供用户如何在这些房间大小的可视化空间中导航的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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