Towards mobile immersive analysis: A study of applications

Lu, Aidong; Huang, Jian; Zhang, Shaoting; Wang, Chuang; Wang, Weichao

doi:10.1109/immersive.2016.7932378

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…The advanced performance of HoloLens has attracted considerable attention. Avila et al presented the basic capabilities of HoloLens [4], and Lu et al illustrated several examples of the use of HoloLens for immersive analysis and discussed the new opportunities and challenges the system presents for visualization and visual analytics [5].…”

Section: Introductionmentioning

confidence: 99%

Technical Evaluation of HoloLens for Multimedia: A First Look

et al. 2018

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Augmented-reality (AR) technology has been developing rapidly for decades. A recently released cutting-edge AR device, Microsoft HoloLens, has attracted considerable attention with its advanced capabilities. In this paper, we report the design and execution of a series of experiments to quantitatively evaluate HoloLens' performance in head localization, real environment reconstruction, spatial mapping, hologram visualization, and speech recognition. The results show that HoloLens is able to estimate head posture more correctly at low movement speeds, reconstruct the environment most precisely for a flat surface under bright conditions, anchor augmented contents at desired locations most accurately at distances of 1.5 m and 2.5 m, display objects with an average size error of 6.64%, and recognize speech commands with correctness rates of 74.47% and 66.87% for userdefined and system-defined commands, respectively. Discussions are also provided to further explain our work and the limitations of the experiments.

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Section: Introductionmentioning

confidence: 99%

Technical Evaluation of HoloLens for Multimedia: A First Look

et al. 2018

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“…Approaches that use MR, or its subset Augmented Reality (AR), [34], [35], [36], [37] are also of interest, as many of the underlying technologies of <VRIA> can work on the MR domain [38] as well. In fact, <VRIA> does offer support for basic investigations in MR, using Web-based MR libraries such as AR.js (see Section 7).…”

Section: Immersive Visualization In Vr/mrmentioning

confidence: 99%

VRIA: A Web-Based Framework for Creating Immersive Analytics Experiences

Butcher

John

Ritsos

2021

IEEE Trans. Visual. Comput. Graphics

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We present , a Web-based framework for creating Immersive Analytics (IA) experiences in Virtual Reality. is built upon WebVR, A-Frame, React and D3.js, and offers a visualization creation workflow which enables users, of different levels of expertise, to rapidly develop Immersive Analytics experiences for the Web. The use of these open-standards Web-based technologies allows us to implement VR experiences in a browser and offers strong synergies with popular visualization libraries, through the HTML Document Object Model (DOM). This makes ubiquitous and platform-independent. Moreover, by using WebVR's progressive enhancement, the experiences creates are accessible on a plethora of devices. We elaborate on our motivation for focusing on open-standards Web technologies, present the creation workflow and detail the underlying mechanics of our framework. We also report on techniques and optimizations necessary for implementing Immersive Analytics experiences on the Web, discuss scalability implications of our framework, and present a series of use case applications to demonstrate the various features of . Finally, we discuss current limitations of our framework, the lessons learned from its development, and outline further extensions.

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“…Their large field of view and stereoscopic presentation, along with their inherently immersive nature helped the field of immersive analytics (Dwyer et al, 2018) to emerge, which is now finding applications in a growing number of domains (Lu et al, 2016, Cordeil et al, 2019, often being able to show otherwise hard to visualize data (Hurter et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Visualizing Multilayered Geospatial Data in Virtual Reality to Assess Public Lighting

Spur

Houel

Tourre

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. With the improvement and proliferation of virtual reality devices, their use for research and professional activity is broadening, fostering the advent of the field of immersive analytics, as is their acceptance among consumers. Other than the heightened sense of immersion into visualized data they provide, they also make displays of much larger apparent size and different positioning practical than what would be possible otherwise. Drawing on these benefits, we implemented a development of Multiple and Coordinated Displays (MCVs) for geovisualization that stacks different layers of data above each other, tilted for legibility. In a formal experiment, we evaluated it and two other, comparable MCV methods implemented in VR for their usefulness in analyzing public perception and soliciting public feedback regarding urban street lighting. In that field, the direction has recently been shifting from purely systemic development to a participatory approach, thus our investigation was into how a system like this could facilitate participation that can yield actionable results. Previous analysis of interaction data and usability questionnaires reveals preferences for certain systems depending on user characteristics, with the stack system showing a slight advantage over a grid of layers and especially over temporal multiplexing. We show that regardless of MCV variation, participants were able to analyze and provide feedback on public lighting situations that can directly contribute to urbanist work. The MCV approach further aided in understanding their choices, as eye-tracking allowed us to analyze attention to individual data layers.

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Towards mobile immersive analysis: A study of applications

Cited by 7 publications

References 12 publications

Technical Evaluation of HoloLens for Multimedia: A First Look

Technical Evaluation of HoloLens for Multimedia: A First Look

VRIA: A Web-Based Framework for Creating Immersive Analytics Experiences

Visualizing Multilayered Geospatial Data in Virtual Reality to Assess Public Lighting

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