SMARTable: Synchronize Mobile Devices and Augmented Reality for Table Visualization
Pages 1019 - 1026
Abstract
Tabular data is widely used in various application scenarios to organize and display structured data. The increasing popularity of mobile devices has led to a significant demand for tabular data analysis. However, limited screen space hinders the effectiveness of analyzing tabular data. To improve users’ ability to analyze tabular data on mobile devices, we develop SMARTable, a prototype system to integrate mobile devices with augmented reality techniques. SMARTable extends the screen space of mobile devices by presenting two-dimensional and three-dimensional visual information around the mobile device. In addition, it allows users to interact with multiple devices, improving the intuitiveness of visual analytics. We conduct a usability study to evaluate the efficiency of combining mobile and AR devices and the usability of the SMARTable system. The evaluation results demonstrate the feasibility and effectiveness of combining mobile devices and augmented reality techniques to analyze tabular data.
References
[1]
Z. Chen and M. Cafarella. 2013. Automatic web spreadsheet data extraction. In Proc. Int. Workshop on Semantic Search over the Web (SSW), pp. 1:1–1:8.
[2]
W. Dou, S. Han, L. Xu, D. Zhang, and J. Wei. 2018. Expandable group identification in spreadsheets." In Proc. ACM/IEEE Int. Conf. Automated Software Engineering, pp. 498-508.
[3]
G. Caraux and S. Pinloche. PermutMatrix. 2004. A graphical environment to arrange gene expression profiles in optimal linear order. Bioinformatics, 21(7):1280–1281.
[4]
S. Gratzl, A. Lex, N. Gehlenborg, H. Pfister, and M. Streit. 2013. Lineup: Visual analysis of multi-attribute rankings. IEEE Transactions on Visualization and Computer Graphics, 19(12):2277–2286.
[5]
Z. Gu, R. Eils, and M. Schlesner. 2016. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics, 32(18):2847–2849, 05.
[6]
C. Niederer, H. Stitz, R. Hourieh, F. Grassinger, W. Aigner, and M. Streit. 2018. Taco: Visualizing changes in tables over time. IEEE Transactions on Visualization and Computer Graphics, 24(1):677–686,.
[7]
C. Perin, P. Dragicevic, and J. D. Fekete. 2014. Revisiting Bertin matrices: New interactions for crafting tabular visualizations. IEEE Transactions on Visualization and Computer Graphics, 20(12):2082–2091.
[8]
R. Chen, D. Weng, Y. Huang, X. Shu, J. Zhou, G. Sun, and Y. Wu. 2023. Rigel: Transforming tabular data by declarative mapping. IEEE Transactions on Visualization and Computer Graphics, 29(1):128–138.
[9]
S. Gratzl, N. Gehlenborg, A. Lex, H. Pfister, and M. Streit. Domino. 2014. Extracting, comparing, and manipulating subsets across multiple tabular datasets. IEEE Transactions on Visualization and Computer Graphics, 20(12):2023–2032.
[10]
A. Lex, M. Streit, H.-J. Schulz, C. Partl, D. Schmalstieg, P. Park, and N. Gehlenborg. 2012. StratomeX: Visual analysis of large-scale heterogeneous genomics data for cancer subtype characterization. Computer Graphics Forum, 31(3):1175–1184.
[11]
M. A. Yalc ̧ in, N. Elmqvist, and B. B. Bederson. 2018. Keshif: Rapid and expressive tabular data exploration for novices. IEEE Transactions on Visualization and Computer Graphics, 24(8):2339–2352.
[12]
M. Cordeil and T. Dwyer. 2019. Introduction to IATK: An immersive visual analytics toolkit. In Proc. ACM Int. Conf. on Interactive Surfaces and Spaces, pp. 431–435.
[13]
M. Sereno, L. Besan on, and T. Isenberg. 2019. Supporting Volumetric Data Visualization and Analysis by Combining Augmented Reality Visuals with Multi-Touch Input. In Proc. of EuroVis (Posters), pp. 21-23.
[14]
R. Sicat, J. Li, J. Choi, M. Cordeil, W.-K. Jeong, B. Bach, and H. Pfister. 2018. DXR: A toolkit for building immersive data visualizations. IEEE transactions on visualization and computer graphics, 25(1):715–725.
[15]
R. Langner, M. Satkowski, W. B ̈uschel, and R. Dachselt. 2021. MARVIS: Combining mobile devices and augmented reality for visual data analysis. In Proc. ACM Conf. Human Factors in Computing Systems (CHI), pp. 468:1-468:17.
[16]
F. Zhu and T. Grossman, 2020. BISHARE: Exploring bidirectional interactions between smartphones and head-mounted augmented reality. In Proc. ACM Conf. Human Factors in Computing Systems (CHI), pp. 106:1–106:14.
[17]
R. Rao and S. K. Card, 1994. The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information. In Proc. ACM Conf. Human Factors in Computing Systems (CHI), pp. 318–322.
[18]
K. Furmanova, S. Gratzl, H. Stitz, T. Zichner, M. Jaresova, A. Lex, and M. Streit. 2019. Taggle: Combining overview and details in tabular data visualizations. Information Visualization, 19(2):114–136.
[19]
G. Li, R. Li, Z. Wang, C. H. Liu, M. Lu, and G. Wang. 2023. HiTailor: Interactive transformation and visualization for hierarchical tabular data. IEEE Transactions on Visualization and Computer Graphics, 29(1):139–148.
[20]
L. Chittaro, 2006. Visualizing information on mobile devices. Computer, 39(3):40–45.
[21]
Z. Gu, R. Eils, and M. Schlesner. 2016. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics, 32(18):2847–2849.
[22]
M. Mosmondor, H. Komericki, and I. S. Pandzic. 2004. 3D visualization of data on mobile devices. In Proc. IEEE Mediterranean Electrotechnical Conference, vol. 2, pp. 645–648.
[23]
L. Paolino, M. Romano, G. Tortora, and G. Vitiello. 2013. Spatial data visualization on mobile interface-a usability study. In Proc. Int. Wireless Communications and Mobile Computing Conference, pp. 959–963.
[24]
W. B ̈uschel, A. Lehmann, and R. Dachselt. 2021. Miria: A mixed reality toolkit for the in-situ visualization and analysis of spatio-temporal interaction data. In Proc. ACM Conf. Human Factors in Computing Systems (CHI), pp. 470:1–470:15.
Index Terms
- SMARTable: Synchronize Mobile Devices and Augmented Reality for Table Visualization
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Published In
June 2024
1206 pages
ISBN:9798400710247
DOI:10.1145/3690407
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Published: 24 October 2024
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CAIBDA 2024
CAIBDA 2024: 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms
June 21 - 23, 2024
Zhengzhou, China
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