Survey of Immersive Analytics

Fonnet, Adrien; Prié, Yannick

doi:10.1109/tvcg.2019.2929033

Cited by 101 publications

(60 citation statements)

References 148 publications

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“…A more recent approach by Skarbez et al [125] describes Immersive Analytics as "the science of analytical reasoning facilitated by immersive human-computer interfaces", situating it with respect to the knowledge generation loop [106]. • Survey: Over the past years, the field has produced an increasing number of publications, extensively summarised in a 2019 survey [51]. Many papers describing and evaluating techniques for visualisation and interaction, evaluating perception or enabling collaboration, have been accompanied and enabled by a series of seminars and workshops.…”

Section: Mapping a New Domainmentioning

confidence: 99%

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Grand Challenges in Immersive Analytics

Ens

Bach

Cordeil

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

136

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Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies. This research has thrived over the past years with Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Section: Mapping a New Domainmentioning

confidence: 99%

“…The brief survey in Section 2.2 as well as other existing surveys [51] highlight the broad range of application areas in which Immersive Analytics has been used. Past work reports both success as well as failure stories.…”

Section: C15: Defining Application Scenarios For Immersive Analyticsmentioning

confidence: 99%

Grand Challenges in Immersive Analytics

Ens

Bach

Cordeil

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

136

View full text Add to dashboard Cite

show abstract

“…Such systems need high computational power for both simulations and rendering to provide quick feedback. IA projects use VR platforms more often than AR ones, and only a few projects investigated IA using AR [60]. This lower interest for AR in IA may be explained by the fact that VR platforms are more mature and easier to develop for and by the higher constraints of AR devices, notably regarding tracking.…”

Section: Immersive Analyticsmentioning

confidence: 99%

Collaborative Work in Augmented Reality: A Survey

Sereno¹,

Wang²,

Besançon³

et al. 2020

IEEE Trans. Visual. Comput. Graphics

113

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In Augmented Reality (AR), users perceive virtual content anchored in the real world. It is used in medicine, education, games, navigation, maintenance, product design, and visualization, in both single-user and multi-user scenarios. Multi-user AR has received limited attention from researchers, even though AR has been in development for more than two decades. We present the state of existing work at the intersection of AR and Computer-Supported Collaborative Work (AR-CSCW), by combining a systematic survey approach with an exploratory, opportunistic literature search. We categorize 65 papers along the dimensions of space, time, role symmetry (whether the roles of users are symmetric), technology symmetry (whether the hardware platforms of users are symmetric), and output and input modalities. We derive design considerations for collaborative AR environments, and identify under-explored research topics. These include the use of heterogeneous hardware considerations and 3D data exploration research areas. This survey is useful for newcomers to the field, readers interested in an overview of CSCW in AR applications, and domain experts seeking up-to-date information.

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“…The emerging field of immersive analytics [21] aims to combine the advances of immersive technologies with visual analytics [22] and has already resulted in applications for large-scale geospatial visualizations-world maps of different shapes [23], global trajectories [24], and even complex flight paths [25]. However, urban environments have so far mostly been immersively explored only in 3D city models [26], or by adding data to one spatial layer [27].…”

Section: Immersive Analyticsmentioning

confidence: 99%

Exploring Multiple and Coordinated Views for Multilayered Geospatial Data in Virtual Reality

et al. 2020

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Virtual reality (VR) headsets offer a large and immersive workspace for displaying visualizations with stereoscopic vision, as compared to traditional environments with monitors or printouts. The controllers for these devices further allow direct three-dimensional interaction with the virtual environment. In this paper, we make use of these advantages to implement a novel multiple and coordinated view (MCV) system in the form of a vertical stack, showing tilted layers of geospatial data. In a formal study based on a use-case from urbanism that requires cross-referencing four layers of geospatial urban data, we compared it against more conventional systems similarly implemented in VR: a simpler grid of layers, and one map that allows for switching between layers. Performance and oculometric analyses showed a slight advantage of the two spatial-multiplexing methods (the grid or the stack) over the temporal multiplexing in blitting. Subgrouping the participants based on their preferences, characteristics, and behavior allowed a more nuanced analysis, allowing us to establish links between e.g., saccadic information, experience with video games, and preferred system. In conclusion, we found that none of the three systems are optimal and a choice of different MCV systems should be provided in order to optimally engage users.

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Survey of Immersive Analytics

Cited by 101 publications

References 148 publications

Grand Challenges in Immersive Analytics

Grand Challenges in Immersive Analytics

Collaborative Work in Augmented Reality: A Survey

Exploring Multiple and Coordinated Views for Multilayered Geospatial Data in Virtual Reality

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