A Walk Among the Data

Ivanov, Alexander; Danyluk, Kurtis; Jacob, Christian; Willett, Wesley

doi:10.1109/mcg.2019.2898941

Cited by 24 publications

(19 citation statements)

References 15 publications

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“…A preliminary expert study by Batch et al [10] found that analysts made more use of 3D space when presenting their data visualisations in immersive environments and used less space when creating and designing visualisations. The notion of space, distances, and spatial understanding has also been studied elsewhere [30,70,129].…”

Section: State-of-the-art In 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

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138

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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: State-of-the-art In 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

Self Cite

138

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“…Reski and Alissandrakis [47] investigated different input technologies (gamepad, 3D gestural input, room-scale VR) within the context of data exploration in VR, identifying a trend towards user preference for visual (virtual) representation of the input controls in VR, but no major preference in regards to the input control's physicality. Challenges and opportunities of immersive unit visualization are described by Ivanov et al [30]. Cordeil et al [16,17] and Butcher et al [10] recently presented tools to support visualization and fluid interaction with multivariate data in VR.…”

Section: Immersive Interaction and Collaborationmentioning

confidence: 99%

“Oh, that’s where you are!” – Towards a Hybrid Asymmetric Collaborative Immersive Analytics System

Reski

Alissandrakis

Tyrkkö

et al. 2020

Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society

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We present a hybrid Immersive Analytics system to support asymmetrical collaboration between a pair of users during synchronous data exploration. The system consists of an immersive Virtual Reality application, a non-immersive web application, and a real-time communication interface connecting both applications to provide features to facilitate the collaborators' mutual understanding and their ability to make (spatial) references. We conducted a real world case study with pairs of language students, encouraging them to use the developed system to investigate a large multivariate Twitter dataset from a sociolinguistic perspective within an explorative analysis scenario. Based on the results of usability scores, log file analyses, observations, and interviews, we were able to validate the approach in general, and gain insights into the users' collaboration with respect to awareness, deixis, and group dynamics. CCS Concepts: • Human-centered computing → Virtual reality; Collaborative interaction; Empirical studies in HCI ; Collaborative and social computing.

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“…From their design space, they identified the four most common operations performed with unit visualizations, i.e., Bin, Duplicate, Filter, and Flatten. Recent work by Ivanov et al [14] extended this concept into immersive spaces with immersive unit visualizations. These visualizations leverage the perceived presence and embodiment often found in VR to convey a sense of scale and magnitude that would not be achievable with aggregate visualizations or non-immersive spaces [35].…”

Section: Unit Visualizationsmentioning

confidence: 99%

“…Current work in IA has harnessed users' spatial manipulation skills to edit visualizations [7], immerse one in their data [14], leverage 3D space to analyze high dimensional datasets, and create novel visualizations [6,23]. Within these environments, however, the user is not encouraged to actively make use of the large amount of space offered by the virtual environment.…”

Section: Introductionmentioning

confidence: 99%