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Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using Topology [article]

Ghulam Jilani Quadri, Paul Rosen
2020 arXiv   pre-print
Scatterplots are used for a variety of visual analytics tasks, including cluster identification, and the visual encodings used on a scatterplot play a deciding role on the level of visual separation of  ...  For visualization designers, optimizing the visual encodings is crucial to maximizing the clarity of data.  ...  ACKNOWLEDGMENTS We thank Bei Wang, Les Piegl, Jorge Adorno Nieves, Zach Beasley, Junyi Tu, and our reviewers for their input on this project.  ... 
arXiv:2007.13872v2 fatcat:tosxauwamfczjafdpxd2ztov6e

Understanding Interfirm Relationships in Business Ecosystems with Interactive Visualization

Rahul C. Basole, Trustin Clear, Mengdie Hu, Harshit Mehrotra, John Stasko
2013 IEEE Transactions on Visualization and Computer Graphics  
Guided by a field study of corporate analysts, we have designed and implemented dotlink360, an interactive visualization system that provides capabilities to gain systemic insight into the compositional  ...  System evaluation by a small group of prototypical users shows supporting evidence of the benefits of our approach.  ...  Fig. 7 . 7 The ScatterNet View that embeds a network visualization in a scatterplot. Here, portfolio diversity index and market cap uniquely determine company positions.  ... 
doi:10.1109/tvcg.2013.209 pmid:24051819 fatcat:fqrsn56gvjhutl5byjiu64ctba

A Survey of Perception-Based Visualization Studies by Task [article]

Ghulam Jilani Quadri, Paul Rosen
2021 arXiv   pre-print
With all of this recent progress, the visualization community lacks a comprehensive guide to contextualize their results.  ...  In this report, we provide a systematic and comprehensive review of research studies on perception related to visualization.  ...  ACKNOWLEDGMENTS We thank our reviewers for their helpful feedback on the construction of this paper. The project is supported in part by the National Science Foundation (IIS-1845204).  ... 
arXiv:2107.07477v1 fatcat:evwxwn2hjra5bdzmxb7bl2q4au

Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems [article]

Zehua Zeng, Minhui Xie, Matthew Gouzoulis, Leilani Battle
2021 arXiv   pre-print
Based on our findings, we highlight new opportunities and challenges for the community in working towards a comprehensive visualization ranking for informing visualization recommendation systems.  ...  A growing body of research focuses on helping users explore complex datasets faster by automatically suggesting visualization designs of possible interest.  ...  ACKNOWLEDGMENTS Authors would like to thank the BAD Lab and our paper reviewers for their thoughtful feedback. This work was supported in part by NSF award IIS-1850115 and an Adobe Research Award.  ... 
arXiv:2109.01271v1 fatcat:7svhidek5zgwhoehvx6qo2p4ry

2020 Index IEEE Transactions on Visualization and Computer Graphics Vol. 26

2021 IEEE Transactions on Visualization and Computer Graphics  
Wentzel, A., +, TVCG Jan. 2020 949-959 DeepOrganNet: On-the-Fly Reconstruction and Visualization of 3D / 4D Lung Models from Single-View Projections by Deep Deformation Network.  ...  Pandey, A., +, TVCG Jan. 2020 938-948 Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration.  ...  ., +, TVCG Jan. 2020 291-300 ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots.  ... 
doi:10.1109/tvcg.2021.3111804 fatcat:lvhpoz5sqjhclo3roocrdtzs2m

AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization [article]

Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu
2021 arXiv   pre-print
We highlight a set of common tasks that researchers apply to the visualization data and present a detailed discussion of AI approaches developed to accomplish those tasks.  ...  Visualizations themselves have become a data format.  ...  ACKNOWLEDGMENTS The authors would like to thank anonymous reviewers for their constructive comments. This research is supported by Hong Kong Theme-based Research Scheme Grant T41-709/17N.  ... 
arXiv:2102.01330v2 fatcat:opj6rlzrzjg4jewxdxlsazlinu

Topic modeling for systematic review of visual analytics in incomplete longitudinal behavioral trial data

Joshua Rumbut, Hua Fang, Honggong Wang
2020 Smart Health  
In this paper, we developed a longitudinal topic model to implement the systematic review of visual analytic methods presented at the IEEE VIS conference over its 28 year history, in comparison with MIFuzzy  ...  The findings of our longitudinal topic modeling highlight the trend patterns of visual analytics development in longitudinal behavioral trials and underscore the gigantic gap of existing robust visual  ...  The last topic involves metaanalysis of visualizations, exemplified by "ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots" Ma et al. (2020) .  ... 
doi:10.1016/j.smhl.2020.100142 pmid:33344744 pmcid:PMC7745978 fatcat:oq2z3apep5dyna57dcnodiuzvy

An exploratory approach on information visualization using unsupervised machine learning [article]

Mohammad Altaweel, Universität Stuttgart
Nowadays, we use various types of charts in academic papers, journals, and newspapers for several purposes. Information Visualizations are powerful tools that researchers use to describe the data.  ...  Designers should analyze all those factors to choose the best design decisions for readable and straightforward visualization.  ...  Computerized Detection of Trends in Line Charts ScatterNet[MTW+20] proposes an approach for modeling subjective similarity by employing human visual comprehension information.  ... 
doi:10.18419/opus-11387 fatcat:yhhiwyf2rngfrlschvc4chg4ue