ImNDT: Immersive Workspace for the Analysis of Multidimensional Material Data From Non-Destructive Testing

Gall, Alexander; Gröller, Eduard; Heinzl, Christoph

doi:10.1145/3489849.3489851

Cited by 8 publications

(5 citation statements)

References 30 publications

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“…This type of charts is often combined with other approaches to visualise data and has greatly increased in its use over the last five years, which is likely due to the many upcoming tools that combine multiple visualisation types for a specific use case. Therefore, the data representations that are common within the domain are also implemented, such as the histograms in material science [GGH21].…”

Section: Resultsmentioning

confidence: 99%

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A Systematic Literature Review of User Evaluation in Immersive Analytics

Friedl‐Knirsch,

Pointecker,

Pfistermüller

et al. 2024

Computer Graphics Forum

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User evaluation is a common and useful tool for systematically generating knowledge and validating novel approaches in the domain of Immersive Analytics. Since this research domain centres around users, user evaluation is of extraordinary relevance. Additionally, Immersive Analytics is an interdisciplinary field of research where different communities bring in their own methodologies. It is vital to investigate and synchronise these different approaches with the long‐term goal to reach a shared evaluation framework. While there have been several studies focusing on Immersive Analytics as a whole or on certain aspects of the domain, this is the first systematic review of the state of evaluation methodology in Immersive Analytics. The main objective of this systematic literature review is to illustrate methodologies and research areas that are still underrepresented in user studies by identifying current practice in user evaluation in the domain of Immersive Analytics in coherence with the PRISMA protocol. (see https://www.acm.org/publications/class-2012)

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Section: Resultsmentioning

confidence: 99%

“…It is used to display both geometry and field data. Common application areas of this data representation type is the rendering of medical imaging data [KCWK20, JK22], or the material science domain [GGH21, JLS*13].…”

Section: Resultsmentioning

confidence: 99%

A Systematic Literature Review of User Evaluation in Immersive Analytics

Friedl‐Knirsch,

Pointecker,

Pfistermüller

et al. 2024

Computer Graphics Forum

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show abstract

“…In addition to more elaborate analysis capabilities on standard screen-based devices, this system also provides capabilities for visualising the datasets in virtual reality. Users have the possibility to leverage the functionality of FeatureScout by Weissenböck et al [21] for the analysis of secondary multidimensional data, and ImNDT by Gall et al [22], an immersive workspace in VR, within the XVRA tool. This allows the VR user to participate in remote collaborations and extend the analysis through spontaneous collaboration.…”

Section: Design and Methodsmentioning

confidence: 99%

NDTFlix: Collaborative Remote Analysis of X-ray Computed Tomography Datasets

Fröhler¹,

Weinberger²,

Gall³

et al. 2023

eJNDT

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When analysing data collected from non-destructive testing, several areas of expertise are required, such as on imaging modalities, data analysis and visualisation, or the domain background in terms of the inspected material. Typically, this requires a team of experts, who are not necessarily situated at the same working place. We therefore propose a system supporting collaborative remote analysis facilitating easy access to a common workspace. The system supports a collaborative analysis of datasets by connecting interactions in a lightweight web-based viewer with those in an advanced analysis software package on a desktop PC. Our system supports both co-located and distributed collaboration on large complex datasets and allows for a simple spontaneous cross-device access. This allows a wide range of devices and immersive systems to be supported regardless of their capabilities. Viewpoints and annotations can be shared as visual cues for the analysis of collaborators. The proposed system will be presented using a case study of analysing an adaptive manufactured aeronautics component. The preliminary findings showed positive feedback of the experts regarding the creation of a flexible and fast collaborative analysis set-up.

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“…The field of VR has flourished by leveraging display and sensor technology developed for mobile phones, which provide the ability to render an immersive environment that can be challenging to distinguish from the real world. While VR is often associated with gaming, it is now finding numerous applications as a teaching tool in various fields ranging from engineering to the sciences. − In scientific research, VR has been used to model and analyze problems that deal with multidimensional data . Additionally, VR has proven to be an effective educational tool in areas such as medical training, − safety training, − and virtual laboratories. − The immersive nature of VR makes it a potent tool for creating engaging and interactive educational content.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Learning Outcomes for Materials Crystallography via Virtual Reality: Role of User Comfort and Game Design

Bejjarapu,

Chen,

et al. 2024

J. Chem. Educ.

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Recent advancements in computer graphics and hardware have driven the resurgence of virtual reality (VR). Past literature has reported the use of VR in education, especially for teaching spatially complex concepts. However, there are limited data available on the precise role of VR game design elements. In this study, we introduce a new VR game, Crystal Vision, which is designed to teach basic crystallographic concepts to undergraduate students. By systematically testing this VR game on a set of 84 students, we find that a VR-based intervention resulted in a 9% increase in their quiz scores (from 7.45 ± 0.16 to 8.12 ± 0.16) and a simultaneous 19% decrease in their quiz completion times (from 7.39 ± 0.24 to 5.98 ± 0.26 min). Finally, we find that a majority of students who felt comfortable while moving through the game indicated a higher level of agreement on most of the survey questions, indicating that user comfort within a VR game plays a significant role in influencing student learning outcomes.

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ImNDT: Immersive Workspace for the Analysis of Multidimensional Material Data From Non-Destructive Testing

Cited by 8 publications

References 30 publications

A Systematic Literature Review of User Evaluation in Immersive Analytics

A Systematic Literature Review of User Evaluation in Immersive Analytics

NDTFlix: Collaborative Remote Analysis of X-ray Computed Tomography Datasets

Enhancing Learning Outcomes for Materials Crystallography via Virtual Reality: Role of User Comfort and Game Design

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