HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer

Alessandro Rego de Lima; Diana Carneiro Machado de Carvalho; Tânia de Jesus Vilela da Rocha

doi:doi:10.11648/j.ajist.20230702.11

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HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer

Alessandro Rego de Lima^*, Diana Carneiro Machado de Carvalho, Tânia de Jesus Vilela da Rocha

Published in American Journal of Information Science and Technology (Volume 7, Issue 2)

Received: 6 March 2023 Accepted: 30 March 2023 Published: 11 April 2023

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Abstract

Hypercube is a novel viewport management and information visualization system proposal that introduces three applications (called WorkScenes), focusing on interaction, immersive reading, data exploration, analysis, and visualization concepts. After presenting the conceptual description, interaction metaphors, and the prototype in a previous publication, this article presents HyperRelational and HyperAnalyzer, the WorkScenes focused on multidimensional data exploration, analysis, and visualization. First, the manuscript explores previous work on Human-Computer Interaction-related disciplines, such as cognitive psychology, cognitive engineering, and neuroscience. Then, we introduce HyperRelational and HyperAnalyzer, focusing on their fundamental concepts 1) Geometrical visualization; 2) mapping relationships among information as spatial dimensions. Also, the Screenshots help illustrate the mentioned concepts. Finally, the “Results and Discussion” section demonstrates how these features integrate with the flow, presence, and immersion of Virtual Reality, fit Shneiderman’s visual-information-seeking mantra and solve some desktop metaphor-related issues. Additionally, we present test results conducted with 26 participants that show an acceptability rate of 74% amongst users and highlight their positive feedback/experience regarding HyperAnalyzer. On the other hand, the System Usability Scale (SUS) evaluation scored 60.6731. The score demonstrates that HyperAnalyser scored a little better than Microsoft Excel. Therefore, we conclude that the concepts presented here are viable, but it is still necessary to evolve usability to make HyperCube commercially viable.

Published in	American Journal of Information Science and Technology (Volume 7, Issue 2)
DOI	10.11648/j.ajist.20230702.11
Page(s)	45-54
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Human-Centered Computing, Information Visualization, Interactive Data, Storytelling, Cognitive Style

References

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APA Style

Lima, A. R. D., Carvalho, D. C. M. D., Rocha, T. D. J. V. D. (2023). HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer. American Journal of Information Science and Technology, 7(2), 45-54. https://doi.org/10.11648/j.ajist.20230702.11

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ACS Style

Lima, A. R. D.; Carvalho, D. C. M. D.; Rocha, T. D. J. V. D. HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer. Am. J. Inf. Sci. Technol. 2023, 7(2), 45-54. doi: 10.11648/j.ajist.20230702.11

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AMA Style

Lima ARD, Carvalho DCMD, Rocha TDJVD. HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer. Am J Inf Sci Technol. 2023;7(2):45-54. doi: 10.11648/j.ajist.20230702.11

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@article{10.11648/j.ajist.20230702.11,
  author = {Alessandro Rego de Lima and Diana Carneiro Machado de Carvalho and Tânia de Jesus Vilela da Rocha},
  title = {HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer},
  journal = {American Journal of Information Science and Technology},
  volume = {7},
  number = {2},
  pages = {45-54},
  doi = {10.11648/j.ajist.20230702.11},
  url = {https://doi.org/10.11648/j.ajist.20230702.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20230702.11},
  abstract = {Hypercube is a novel viewport management and information visualization system proposal that introduces three applications (called WorkScenes), focusing on interaction, immersive reading, data exploration, analysis, and visualization concepts. After presenting the conceptual description, interaction metaphors, and the prototype in a previous publication, this article presents HyperRelational and HyperAnalyzer, the WorkScenes focused on multidimensional data exploration, analysis, and visualization. First, the manuscript explores previous work on Human-Computer Interaction-related disciplines, such as cognitive psychology, cognitive engineering, and neuroscience. Then, we introduce HyperRelational and HyperAnalyzer, focusing on their fundamental concepts 1) Geometrical visualization; 2) mapping relationships among information as spatial dimensions. Also, the Screenshots help illustrate the mentioned concepts. Finally, the “Results and Discussion” section demonstrates how these features integrate with the flow, presence, and immersion of Virtual Reality, fit Shneiderman’s visual-information-seeking mantra and solve some desktop metaphor-related issues. Additionally, we present test results conducted with 26 participants that show an acceptability rate of 74% amongst users and highlight their positive feedback/experience regarding HyperAnalyzer. On the other hand, the System Usability Scale (SUS) evaluation scored 60.6731. The score demonstrates that HyperAnalyser scored a little better than Microsoft Excel. Therefore, we conclude that the concepts presented here are viable, but it is still necessary to evolve usability to make HyperCube commercially viable.},
 year = {2023}
}

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TY  - JOUR
T1  - HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer
AU  - Alessandro Rego de Lima
AU  - Diana Carneiro Machado de Carvalho
AU  - Tânia de Jesus Vilela da Rocha
Y1  - 2023/04/11
PY  - 2023
N1  - https://doi.org/10.11648/j.ajist.20230702.11
DO  - 10.11648/j.ajist.20230702.11
T2  - American Journal of Information Science and Technology
JF  - American Journal of Information Science and Technology
JO  - American Journal of Information Science and Technology
SP  - 45
EP  - 54
PB  - Science Publishing Group
SN  - 2640-0588
UR  - https://doi.org/10.11648/j.ajist.20230702.11
AB  - Hypercube is a novel viewport management and information visualization system proposal that introduces three applications (called WorkScenes), focusing on interaction, immersive reading, data exploration, analysis, and visualization concepts. After presenting the conceptual description, interaction metaphors, and the prototype in a previous publication, this article presents HyperRelational and HyperAnalyzer, the WorkScenes focused on multidimensional data exploration, analysis, and visualization. First, the manuscript explores previous work on Human-Computer Interaction-related disciplines, such as cognitive psychology, cognitive engineering, and neuroscience. Then, we introduce HyperRelational and HyperAnalyzer, focusing on their fundamental concepts 1) Geometrical visualization; 2) mapping relationships among information as spatial dimensions. Also, the Screenshots help illustrate the mentioned concepts. Finally, the “Results and Discussion” section demonstrates how these features integrate with the flow, presence, and immersion of Virtual Reality, fit Shneiderman’s visual-information-seeking mantra and solve some desktop metaphor-related issues. Additionally, we present test results conducted with 26 participants that show an acceptability rate of 74% amongst users and highlight their positive feedback/experience regarding HyperAnalyzer. On the other hand, the System Usability Scale (SUS) evaluation scored 60.6731. The score demonstrates that HyperAnalyser scored a little better than Microsoft Excel. Therefore, we conclude that the concepts presented here are viable, but it is still necessary to evolve usability to make HyperCube commercially viable.
VL  - 7
IS  - 2
ER  -

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Author Information

Alessandro Rego de Lima

Departamento de Ciências e Tecnologia, Universidade Trás-os-Montes e Alto Douro, Vila Real, Portugal; Departamento de Ciências e Tecnologia, Universidade Aberta, Lisboa, Portugal

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Diana Carneiro Machado de Carvalho

Departamento de Ciências e Tecnologia, Universidade Trás-os-Montes e Alto Douro, Vila Real, Portugal; Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, Porto, Portugal
Tânia de Jesus Vilela da Rocha

Departamento de Ciências e Tecnologia, Universidade Trás-os-Montes e Alto Douro, Vila Real, Portugal; Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, Porto, Portugal

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Lima, A. R. D., Carvalho, D. C. M. D., Rocha, T. D. J. V. D. (2023). HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer. American Journal of Information Science and Technology, 7(2), 45-54. https://doi.org/10.11648/j.ajist.20230702.11

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ACS Style

Lima, A. R. D.; Carvalho, D. C. M. D.; Rocha, T. D. J. V. D. HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer. Am. J. Inf. Sci. Technol. 2023, 7(2), 45-54. doi: 10.11648/j.ajist.20230702.11

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AMA Style

Lima ARD, Carvalho DCMD, Rocha TDJVD. HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer. Am J Inf Sci Technol. 2023;7(2):45-54. doi: 10.11648/j.ajist.20230702.11

Copy | Download

@article{10.11648/j.ajist.20230702.11,
  author = {Alessandro Rego de Lima and Diana Carneiro Machado de Carvalho and Tânia de Jesus Vilela da Rocha},
  title = {HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer},
  journal = {American Journal of Information Science and Technology},
  volume = {7},
  number = {2},
  pages = {45-54},
  doi = {10.11648/j.ajist.20230702.11},
  url = {https://doi.org/10.11648/j.ajist.20230702.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20230702.11},
  abstract = {Hypercube is a novel viewport management and information visualization system proposal that introduces three applications (called WorkScenes), focusing on interaction, immersive reading, data exploration, analysis, and visualization concepts. After presenting the conceptual description, interaction metaphors, and the prototype in a previous publication, this article presents HyperRelational and HyperAnalyzer, the WorkScenes focused on multidimensional data exploration, analysis, and visualization. First, the manuscript explores previous work on Human-Computer Interaction-related disciplines, such as cognitive psychology, cognitive engineering, and neuroscience. Then, we introduce HyperRelational and HyperAnalyzer, focusing on their fundamental concepts 1) Geometrical visualization; 2) mapping relationships among information as spatial dimensions. Also, the Screenshots help illustrate the mentioned concepts. Finally, the “Results and Discussion” section demonstrates how these features integrate with the flow, presence, and immersion of Virtual Reality, fit Shneiderman’s visual-information-seeking mantra and solve some desktop metaphor-related issues. Additionally, we present test results conducted with 26 participants that show an acceptability rate of 74% amongst users and highlight their positive feedback/experience regarding HyperAnalyzer. On the other hand, the System Usability Scale (SUS) evaluation scored 60.6731. The score demonstrates that HyperAnalyser scored a little better than Microsoft Excel. Therefore, we conclude that the concepts presented here are viable, but it is still necessary to evolve usability to make HyperCube commercially viable.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer
AU  - Alessandro Rego de Lima
AU  - Diana Carneiro Machado de Carvalho
AU  - Tânia de Jesus Vilela da Rocha
Y1  - 2023/04/11
PY  - 2023
N1  - https://doi.org/10.11648/j.ajist.20230702.11
DO  - 10.11648/j.ajist.20230702.11
T2  - American Journal of Information Science and Technology
JF  - American Journal of Information Science and Technology
JO  - American Journal of Information Science and Technology
SP  - 45
EP  - 54
PB  - Science Publishing Group
SN  - 2640-0588
UR  - https://doi.org/10.11648/j.ajist.20230702.11
AB  - Hypercube is a novel viewport management and information visualization system proposal that introduces three applications (called WorkScenes), focusing on interaction, immersive reading, data exploration, analysis, and visualization concepts. After presenting the conceptual description, interaction metaphors, and the prototype in a previous publication, this article presents HyperRelational and HyperAnalyzer, the WorkScenes focused on multidimensional data exploration, analysis, and visualization. First, the manuscript explores previous work on Human-Computer Interaction-related disciplines, such as cognitive psychology, cognitive engineering, and neuroscience. Then, we introduce HyperRelational and HyperAnalyzer, focusing on their fundamental concepts 1) Geometrical visualization; 2) mapping relationships among information as spatial dimensions. Also, the Screenshots help illustrate the mentioned concepts. Finally, the “Results and Discussion” section demonstrates how these features integrate with the flow, presence, and immersion of Virtual Reality, fit Shneiderman’s visual-information-seeking mantra and solve some desktop metaphor-related issues. Additionally, we present test results conducted with 26 participants that show an acceptability rate of 74% amongst users and highlight their positive feedback/experience regarding HyperAnalyzer. On the other hand, the System Usability Scale (SUS) evaluation scored 60.6731. The score demonstrates that HyperAnalyser scored a little better than Microsoft Excel. Therefore, we conclude that the concepts presented here are viable, but it is still necessary to evolve usability to make HyperCube commercially viable.
VL  - 7
IS  - 2
ER  -

Copy | Download