IEEEVIS 2017 Summary

John Alexis Guerra Gómez| ja.guerrag[at]| @duto_guerra
Jose Tiberio Hernández | jhernand[at]
Universidad de los Andes

IEEEVis Summary

  • Main Visualization conference, along with CHI, and Eurovis
  • Organized by IEEE
  • About 1000+ attendees


  • Infovis -> Techniques
  • VAST -> The process
  • Scivis -> Rainbows
  • VizSec -> Security
  • VDS -> Big data
  • Workshops/Tutorials -> Special interests
  • Panels -> Debate
    • There was a special panel on how Scivis is dying

Observed themes

  • VegaLite
  • Network Visualization (Edge Bundling)
  • Text Visualization
  • Time Series
  • Machine Learning
  • Education, Design, Evaluation


*** Vega-Lite: A Grammar of Interactive Graphics (J) (Best Paper Award)

Authors: Arvind Satyanarayan, Dominik Moritz, Kanit Wongsuphasawat, and Jeffrey Heer

Next step after D3, define visualization from what you want rather than how to do it

Vega-Lite: A Grammar of Interactive Graphics from UW Interactive Data Lab on Vimeo.

Network Visualization

** Magnostics: Image-based Search of Interesting Matrix Views for Guided Network Exploration (J)

Authors: Michael Behrisch, Benjamin Bach, Michael Hund, Michael Delz, Laura von Rüden, Jean-Daniel Fekete, and Tobias Schreck

[VIS16 Preview] Magnostics: Image-based Search of Interesting Matrix Views for Guided Network Exploration from VGTCommunity on Vimeo.

** Evaluation of Graph Sampling: A Visualization Perspective (J)

Authors: Yanhong Wu, Nan Cao, Daniel Archambault, Qiaomu Shen, Huamin Qu, and Weiwei Cui

Graph sampling, how good are them for showing visual properties

** Towards Unambiguous Edge Bundling: Investigating Confluent Drawings for Network Visualization (J)

Authors: Benjamin Bach, Nathalie Henry Riche, Christophe Hurter, Kim Marriott, and Tim Dwyer

Nice demo

* CUBu: Universal real-time bundling for large graphs (T)

Authors: Matthew van der Zwan, Valeriu Codreanu, Alexandru Telea

Very fast GPU based edge bundling, that works with millions of nodes


Surprise! Bayesian Weighting for De-Biasing Thematic Maps (J)

Authors: Michael Correll and Jeffrey Heer

Github repo

*** Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation (J) (Best Paper Honorable Mention)

Authors: Yalong Yang, Tim Dwyer, Sarah Goodwin, and Kim Marriott

Very novel. Good evaluation

* Evaluating the Impact of Binning 2D Scalar Fields (J)

Authors: Lace Padilla, P. Samuel Quinan, Miriah Meyer, and Sarah H. Creem-Regehr

Good study on why to use binning on maps

Quantifying the Visual Impact of Classification Boundaries in Choropleth Maps (J)

Authors: Yifan Zhang and Ross Maciejewski

PCA, ML to find regions on maps

*** Small Multiples with Gaps (J)

Authors: Wouter Meulemans, Jason Dykes, Aidan Slingsby, Cagatay Turkay, and Jo Wood

Small Multiples

Text Visualization

** TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections (J)

Authors: Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, and Niklas Elmqvist

Cool algorithm (fast) nice tool

TextTile: An Interactive Visualization Tool for Seamless Exploratory Analysis of Structured Data and Unstructured Text (J)

Authors: Cristian Felix, Anshul Vikram Pandey, and Enrico Bertini

Good replacement for wordclouds, ML

Time series

*** The Connected Scatterplot for Presenting Paired Time Series (T)

Authors: Steve Haroz, Robert Kosara, Steven L. Franconeri

** EventAction: Visual Analytics for Temporal Event Sequence Recommendation (C)

Authors: Fan Du, Catherine Plaisant, Neil Spring, Ben Shneiderman

** Coping with Volume and Variety in Temporal Event Sequences: Strategies for Sharpening Analytic Focus (T)

Authors: Fan Du, Ben Shneiderman, Catherine Plaisant, Sana Malik, Adam Perer

List of strategies on how to declutter time series

Others Time Series

Visplause: Visual Data Quality Assessment of Many Time Series Using Plausibility Checks (J)

Authors: Clemens Arbesser, Florian Spechtenhauser, Thomas Mühlbacher, and Harald Piringer

Multi-Granular Trend Detection for Time-Series Analysis (J)

van Goethem, Frank Staals, Maarten Löffler, Jason Dykes, and Bettina Speckmann

Shape Grammar Extraction for Efficient Query-by-Sketch Pattern Matching in Long Time Series (C)

Muthumanickam, Katerina Vrotsou, Matthew Cooper, Jimmy Johansson

The Semantics of Sketch: A Visual Query System for Time Series Data (C)

Correll, Michael Gleicher

- SocialBrands: Visual Analysis of Public Perceptions of Brands on Social Media (C)

Liu, Anbang Xu, Liang Gou, Haibin Liu, Rama Akkiraju, Han-Wei Shen

Not the best visual encoding

Education, Design, Evaluation


*** Iterating Between Tools to Create and Edit Visualizations (J)

Authors: Alex Bigelow, Steven Drucker, Danyel Fisher, and Miriah Meyer

** Data-Driven Guides: Supporting Expressive Design for Information Graphics (J)

Authors: Nam Wook Kim, Eston Schweickart, Zhicheng Liu, Mira Dontcheva, Wilmot Li, Jovan Popovic, and Hanspeter Pfister


VIZITCARDS: A Card-Based Toolkit for Infovis Design Education (J)

Authors: Shiqing He and Eytan Adar

A framework for applying viz

VLAT: Development of a Visualization Literacy Assessment Test (J)

Authors: Sukwon Lee, Sung-Hee Kim, and Bum Chul Kwon

A test for visualization literacy, first approach, incomplete

Exploring the Possibilities of Embedding Heterogeneous Data Attributes in Familiar Visualizations (J)

Authors: Mona Hosseinkhani Loorak, Charles Perin, Christopher Collins, and Sheelagh Carpendale


** Visualization by Demonstration: An Interaction Paradigm for Visual Data Exploration (J)

Authors: Bahador Saket, Hannah Kim, Eli T. Brown, and Alex Endert

** HindSight: Encouraging Exploration through Direct Encoding of Personal Interaction History (J)

Authors: Mi Feng, Cheng Deng, Evan M. Peck, and Lane Harrison

* Supporting Visual Exploration for Multiple Users in Large Display Environments (C)

Authors: Sriram Karthik Badam, Fereshteh Amini, Niklas Elmqvist, Pourang Irani


The Elicitation Interview Technique: Capturing People’s Experiences of Data Representations (T)

Authors: Trevor Hogan, Uta Hinrichs, Eva Hornecker

Machine Learning

  • Topic Modeling
  • Dimmensionality Reduction