TY - JOUR
T1 - Cross-virtuality visualization, interaction and collaboration
AU - Riegler, Andreas
AU - Heinzl, Christoph
AU - Brunner, Manuel
AU - Fröhler, Bernhard
AU - Anthes, Christoph
AU - Holzmann, Clemens
AU - Auer, Stefan
AU - Leitner, Christina
AU - Jetter, Hans Christian
AU - Jodlbauer, Herbert
AU - Friedl, Judith
AU - Pointecker, Fabian
AU - Schwajda, Daniel
AU - Tripathi, Shailesh
N1 - Funding Information:
This project is financed by research subsidies granted by the government of Upper Austria.
Publisher Copyright:
Copyright © 2020 for this paper by its authors.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - In X-Pro, we investigate novel user-centric methods and techniques for cross-virtuality analytics. Cross-virtuality analytics in our sense aims to enable a seamless integration and transition between conventional 2D visualization, augmented reality and virtual reality in order to provide users with optimal visual and algorithmic support with maximum cognitive and perceptual suitability, depending on their current tasks and needs in the analysis process. We thus focus on methods and techniques mainly for production data, which promise a new quality of visual analytics along the reality-virtuality-continuum in order to facilitate a completely different level of visual and spatial perception as compared to the state of the art. Aside the conception and development of novel visualization techniques, we also concentrate on a close collaboration and interaction of users within this continuum. Regarding analyzing, exploring and modeling of data, evaluations of trends, the detection of patterns and outliers as well as correlations in the data will be of utmost importance. We target to investigate concepts of novel visual metaphors, novel interaction concepts, their mathematical foundations, and evaluate them in terms of their technical feasibility, their cognitive, perceptional and ergonomic usability. We believe that cross-virtuality analytics has the potential to fundamentally improve data-driven planning, control, optimization and quality assurance.
AB - In X-Pro, we investigate novel user-centric methods and techniques for cross-virtuality analytics. Cross-virtuality analytics in our sense aims to enable a seamless integration and transition between conventional 2D visualization, augmented reality and virtual reality in order to provide users with optimal visual and algorithmic support with maximum cognitive and perceptual suitability, depending on their current tasks and needs in the analysis process. We thus focus on methods and techniques mainly for production data, which promise a new quality of visual analytics along the reality-virtuality-continuum in order to facilitate a completely different level of visual and spatial perception as compared to the state of the art. Aside the conception and development of novel visualization techniques, we also concentrate on a close collaboration and interaction of users within this continuum. Regarding analyzing, exploring and modeling of data, evaluations of trends, the detection of patterns and outliers as well as correlations in the data will be of utmost importance. We target to investigate concepts of novel visual metaphors, novel interaction concepts, their mathematical foundations, and evaluate them in terms of their technical feasibility, their cognitive, perceptional and ergonomic usability. We believe that cross-virtuality analytics has the potential to fundamentally improve data-driven planning, control, optimization and quality assurance.
KW - Collaboration
KW - Cross virtuality
KW - Interaction
KW - Mixed reality
UR - http://www.scopus.com/inward/record.url?scp=85098133861&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85098133861
SN - 1613-0073
VL - 2779
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 1st International Workshop on Cross-Reality ,XR Interaction, XR 2020
Y2 - 8 October 2020
ER -