CAVE: An Emerging Immersive Technology -- A Review

Manjrekar, Siddhesh; Sandilya, Shubhrika; Bhosale, Deesha; Kanchi, Sravanthi; Pitkar, Adwait; Gondhalekar, Mayur

doi:10.1109/uksim.2014.20

Cited by 50 publications

(23 citation statements)

References 12 publications

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“…For example, although CAVE can provide high-resolution images with advanced visualization as part of the high-quality display system, the cost of such a system is very high. Although the CAVE2 cost has been reduced by 50% compared with CAVE1 in recent years, it still reaches $926K [ 112 ].…”

Section: Future Research Directionsmentioning

confidence: 99%

A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training

Wang

et al. 2018

IJERPH

543

241

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Virtual Reality (VR) has been rapidly recognized and implemented in construction engineering education and training (CEET) in recent years due to its benefits of providing an engaging and immersive environment. The objective of this review is to critically collect and analyze the VR applications in CEET, aiming at all VR-related journal papers published from 1997 to 2017. The review follows a three-stage analysis on VR technologies, applications and future directions through a systematic analysis. It is found that the VR technologies adopted for CEET evolve over time, from desktop-based VR, immersive VR, 3D game-based VR, to Building Information Modelling (BIM)-enabled VR. A sibling technology, Augmented Reality (AR), for CEET adoptions has also emerged in recent years. These technologies have been applied in architecture and design visualization, construction health and safety training, equipment and operational task training, as well as structural analysis. Future research directions, including the integration of VR with emerging education paradigms and visualization technologies, have also been provided. The findings are useful for both researchers and educators to usefully integrate VR in their education and training programs to improve the training performance.

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Section: Future Research Directionsmentioning

confidence: 99%

A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training

Wang

et al. 2018

IJERPH

543

241

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“…The design of collaborative, immersive environments for data exploration has historically been based on balancing the complex technological trade-offs among hardware complexity, image quality, resolution, field of view, depth rendering, visual acuity, perception issues (e.g. ghosting), and cost [32]. Originally, CAVE was born as a small environment for 3D scientific exploration, applied to domains such as biology, fluid dynamics, architecture and geospatial data.…”

Section: Immersive Hybrid Analyticsmentioning

confidence: 99%

Dataspace: A Reconfigurable Hybrid Reality Environment for Collaborative Information Analysis

Cavallo¹,

Dholakia²,

Havlena³

et al. 2019

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

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Immersive environments have gradually become standard for visualizing and analyzing large or complex datasets that would otherwise be cumbersome, if not impossible, to explore through smaller scale computing devices. However, this type of workspace often proves to possess limitations in terms of interaction, flexibility, cost and scalability. In this paper we introduce a novel immersive environment called Dataspace, which features a new combination of heterogeneous technologies and methods of interaction towards creating a better team workspace. Dataspace provides 15 high-resolution displays that can be dynamically reconfigured in space through robotic arms, a central table where information can be projected, and a unique integration with augmented reality (AR) and virtual reality (VR) headsets and other mobile devices. In particular, we contribute novel interaction methodologies to couple the physical environment with AR and VR technologies, enabling visualization of complex types of data and mitigating the scalability issues of existing immersive environments. We demonstrate through four use cases how this environment can be effectively used across different domains and reconfigured based on user requirements. Finally, we compare Dataspace with existing technologies, summarizing the trade-offs that should be considered when attempting to build better collaborative workspaces for the future.

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“…This shift opened up new possibilities for collaborative data analysis, as demonstrated by the use of SAGE [67] (and later SAGE2 [53]) in the EVL Cybercommons room [43,52]. In recent years, researchers have explored a number of ways to further improve on these two technologies [25,51], by sensibly increasing resolution [62], providing more flexibility in screen configuration [64], integrating mobile devices [36,42], and exploring interaction with artificial agents [29,77]. CAVE2 [32], a system composed of 72 cylindricallypositioned displays, aimed at combining the effectiveness of CAVE systems in visualizing 3D datasets with the capabilities of more recent ultra-high-resolution environments, which were a better fit for 2D data visualization.…”

Section: Immersive Data Visualizationmentioning

confidence: 99%

“…R, Matlab) and data visualization tools have been developed to assist data scientists during the EDA process, but are mostly desktop-based and do not provide support for collaborative analysis. Over time, researchers have repeatedly tried to propose immersive technologies (such as CAVE systems [23][24][25]51], powerwalls [52,53], and virtual and augmented reality headsets) as a possible solution for specific data science tasks, defining a research area known as Immersive Analytics [19,54]. The technological improvements and hardware commoditization of head-mounted-displays (HMDs) of the past few years have reignited interest in applying these devices to domains such as EDA, and a few companies have even proposed some first VR-based commercial solutions [1,5].…”

Section: Introductionmentioning

confidence: 99%

Immersive Insights: A Hybrid Analytics System forCollaborative Exploratory Data Analysis

Cavallo¹,

Dholakia²,

Havlena³

et al. 2019

25th ACM Symposium on Virtual Reality Software and Technology

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Figure 1: Immersive Insights is a collaborative, hybrid analytics system for exploratory data analysis. The application, implemented in a Dataspace environment [18], leverages multimodal interaction and combines the use of technologies such as 1) high-resolution movable screens to visualize statistical information, 2) a central projection table providing an overview of the current analysis, and 3) an augmented reality view to visualize and interact with high-dimensional data. ABSTRACTIn the past few years, augmented reality (AR) and virtual reality (VR) technologies have experienced terrific improvements in both accessibility and hardware capabilities, encouraging the application of these devices across various domains. While researchers have demonstrated the possible advantages of AR and VR for certain data science tasks, it is still unclear how these technologies would perform in the context of exploratory data analysis (EDA) at large. In particular, we believe it is important to better understand which level of immersion EDA would concretely benefit from, and to quantify the contribution of AR and VR with respect to standard analysis workflows.In this work, we leverage a Dataspace reconfigurable hybrid reality environment to study how data scientists might perform EDA in a co-located, collaborative context. Specifically, we propose the design and implementation of Immersive Insights, a hybrid analytics system combining high-resolution displays, table projections, and augmented reality (AR) visualizations of the data.We conducted a two-part user study with twelve data scientists, in which we evaluated how different levels of data immersion affect the EDA process and compared the performance of Immersive Insights with a state-of-the-art, non-immersive data analysis system.

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CAVE: An Emerging Immersive Technology -- A Review

Cited by 50 publications

References 12 publications

A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training

A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training

Dataspace: A Reconfigurable Hybrid Reality Environment for Collaborative Information Analysis

Immersive Insights: A Hybrid Analytics System forCollaborative Exploratory Data Analysis

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