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A wearable-AR service for data-driven scenarios

Published: 03 June 2024 Publication History

Abstract

Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, [email protected] Wearable (headset-enabled) Augmented Reality has great potential to facilitate understanding and interaction with digital data-driven scenes. In this article, a design concept for a monitoring service addressing the needs of a specific data-intensive use case, building occupancy monitoring, is presented. From specific system requirements, a set of guidelines grounded on previous literature are identified. On these, the resulting layout and implementation is presented, to substantiate the final wearable-AR service. The guidelines presented enable to identify and organize visualization and interactive components, such as the map and the spherical notifications along with the notification stack.

References

[1]
HoloLens 2. 2023. Microsoft HoloLens 2. https://www.microsoft.com/es-es/d/hololens-2/91pnzzznzwcp
[2]
Unity 2021.3.2. 2024. Unity 2021.3.2. https://unity.com/releases/editor/whats-new/2021.3.2
[3]
Kamyar Abhari, John SH Baxter, Elvis CS Chen, Ali R Khan, Terry M Peters, Sandrine De Ribaupierre, and Roy Eagleson. 2014. Training for planning tumour resection: augmented reality and human factors. IEEE Transactions on Biomedical Engineering 62, 6 (2014), 1466–1477.
[4]
From data to Viz. 2023. Find the graphic you need. https://www.data-to-viz.com/#explore
[5]
Afshan Ejaz, Syed Asim Ali, Muhammad Yasir Ejaz, and Farhan Ahmed Siddiqui. 2019. Graphic user interface design principles for designing augmented reality applications. International Journal of Advanced Computer Science and Applications (IJACSA) 10, 2 (2019), 209–216.
[6]
Christian Haeberling. 2002. 3D map presentation–a systematic evaluation of important graphic aspects. In Proceedings of ICA Mountain Cartography Workshop" Mount Hood, Vol. 11.
[7]
hferrone. 2024. Mixed Reality documentation - Mixed Reality. https://learn.microsoft.com/en-us/windows/mixed-reality/
[8]
Sumit A Hirve, Ajinkya Kunjir, Basil Shaikh, and Karan Shah. 2017. An approach towards data visualization based on AR principles. In 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC). IEEE, 128–133.
[9]
Karl-Bridge-Microsoft. 2023. Introducción a Windows Device Portal - UWP applications. https://learn.microsoft.com/es-es/windows/uwp/debug-test-perf/device-portal
[10]
Oh-Hyun Kwon, Chris Muelder, Kyungwon Lee, and Kwan-Liu Ma. 2016. A study of layout, rendering, and interaction methods for immersive graph visualization. IEEE transactions on visualization and computer graphics 22, 7 (2016), 1802–1815.
[11]
Gun A Lee, Andreas Dünser, Seungwon Kim, and Mark Billinghurst. 2012. CityViewAR: A mobile outdoor AR application for city visualization. In 2012 IEEE international symposium on mixed and augmented reality-arts, media, and humanities (ISMAR-AMH). IEEE, 57–64.
[12]
Qi Li and Qi Li. 2020. Overview of data visualization. Embodying data: Chinese aesthetics, interactive visualization and gaming technologies (2020), 17–47.
[13]
Hua Liao and Weihua Dong. 2017. An exploratory study investigating gender effects on using 3D maps for spatial orientation in wayfinding. ISPRS International Journal of Geo-Information 6, 3 (2017), 60.
[14]
Travis Lowdermilk. 2013. User-centered design: a developer’s guide to building user-friendly applications. " O’Reilly Media, Inc.".
[15]
Stephen R Midway. 2020. Principles of effective data visualization. Patterns 1, 9 (2020).
[16]
Christian Moro, Zane Štromberga, Athanasios Raikos, and Allan Stirling. 2017. The effectiveness of virtual and augmented reality in health sciences and medical anatomy. Anatomical sciences education 10, 6 (2017), 549–559.
[17]
Christoph Noll, Ute von Jan, Ulrike Raap, Urs-Vito Albrecht, 2017. Mobile augmented reality as a feature for self-oriented, blended learning in medicine: randomized controlled trial. JMIR mHealth and uHealth 5, 9 (2017), e7943.
[18]
Sarah North, Monisha Verma, Sean Saffan, Victor Orellana, Matthew Alyward, and Ronald Brooks. 2019. Pedagogical Innovative Research Endeavor: Visualization of Streamed Big Data through Augmented Reality. In 2019 SoutheastCon. IEEE, 1–6.
[19]
Ekaterina Olshannikova, Aleksandr Ometov, Yevgeni Koucheryavy, and Thomas Olsson. 2015. Visualizing Big Data with augmented and virtual reality: challenges and research agenda. Journal of Big Data 2 (2015), 1–27.
[20]
Raimund Schnürer, Cédric Dind, Stefan Schalcher, Pascal Tschudi, and Lorenz Hurni. 2020. Augmenting printed school atlases with thematic 3D maps. Multimodal Technologies and Interaction 4, 2 (2020), 23.
[21]
Sean-Kerawala. 2024. Welcome to the Mixed Reality Feature Tool - Mixed Reality. https://learn.microsoft.com/en-us/windows/mixed-reality/develop/unity/welcome-to-mr-feature-tool
[22]
Yuk-Ming Tang, Kin Man Au, Henry CW Lau, George TS Ho, and Chun-Ho Wu. 2020. Evaluating the effectiveness of learning design with mixed reality (MR) in higher education. Virtual Reality 24, 4 (2020), 797–807.
[23]
Antony Unwin. 2020. Why is data visualization important? what is important in data visualization?Harvard Data Science Review 2, 1 (2020), 1.
[24]
Steven Vi, Tiago Silva da Silva, and Frank Maurer. 2019. User experience guidelines for designing HMD extended reality applications. In Human-Computer Interaction–INTERACT 2019: 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2–6, 2019, Proceedings, Part IV 17. Springer, 319–341.

Cited By

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  • (2024)Eye-Tracking Analysis for Cognitive Load Estimation in Wearable Mixed RealityProceedings of the 2024 ACM Symposium on Spatial User Interaction10.1145/3677386.3688885(1-2)Online publication date: 7-Oct-2024

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cover image ACM Other conferences
AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces
June 2024
578 pages
ISBN:9798400717642
DOI:10.1145/3656650
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 June 2024

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Author Tags

  1. Augmented Reality
  2. Data-driven decision making
  3. interaction
  4. visualization.

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  • Poster
  • Research
  • Refereed limited

Funding Sources

  • Spanish Min. of Economic Affairs and Digital Transformation
  • EU Next Generation EU/PRTR

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AVI 2024

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AVI '24 Paper Acceptance Rate 21 of 82 submissions, 26%;
Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

View all
  • (2024)Eye-Tracking Analysis for Cognitive Load Estimation in Wearable Mixed RealityProceedings of the 2024 ACM Symposium on Spatial User Interaction10.1145/3677386.3688885(1-2)Online publication date: 7-Oct-2024

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