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VAST Challenge

Location: Holiday 4+5

Kris Cook (Pacific Northwest National Laboratory), Georges Grinstein (University of Massachusetts, Lowell), Mark Whiting (Pacific Northwest National Laboratory).


Link to the Workshop Agenda

The VAST Challenge is designed to help researchers understand how well the data transformations, visualizations, and interactions in their visual analytics software can be used to address a realistic analytic task. VAST Challenge problems provide researchers with these realistic tasks and corresponding data sets for evaluating or developing software. The 2016 VAST Challenge focused specifically on problems in the emerging area of streaming visual analytics. Mini-Challenge 1 posed a design challenge in which participants were asked to design a visual analytics tool to support the analysis of streaming data in an operations center. Mini-Challenge 2 provided two weeks of static data from various building sensors and asked participants to characterize patterns and anomalies. This challenge was specifically designed to provide participants with an opportunity to practice streaming visual analytics without having to actually work with a live stream. Mini-Challenge 3 provided a live stream of 60 hours of building sensor data, and participants were asked to build a visual analytics solution enabling users to rapidly orient themselves to emerging events as well as well as to be able to reconsider past data as circumstances change.

The VAST Challenge workshop will include presentations from award winners and a live design session for visual analytics of streaming data.


VAST Challenge 2016 (Committee Report): Streaming Visual Analytics
Authors: R. Jordan Crouser, Kristin Cook, John Fallon, Georges Grinstein, Kristen Liggett, Danko Nebesh, Diane Staheli, Mark A. Whiting, Kirsten Whitley

Mini-Challenge 1 Award: Notable Support for Streaming Analysis
Dynamite: Dynamic Monitoring Interface for Task Ensembles
Authors: Wolfgang Jentner, Mennatallah El-Assady, Dominik Sacha, Dominik Jäckle, Florian Stoffel

Mini-Challenge 1 Honorable Mention: Compelling Vision
Collaborative Observation and Response Environment
Authors: Jordan Riley Benson, Shaun Kurian, Karl Prewo, Rajiv Ramarajan

Mini-Challenge 1 Honorable Mention: Excellent Storyboard
Fusing Events, Tasks and Spatial Awareness in an Ambient-Enabled Work Environment
Authors: Juri Buchmüller, Manuel Stein, Alexander Jger, Sabrina Schmidt, Hansi Senaratne, Halld´ or Janetzko

Mini-Challenge 2 Award: Robust Support for Visual Anomaly Detection
Visual Anomaly Detection in Spatio-Temporal Data using Element-Specific References
Authors: Daniel Alcaide, Jansi Thiyagarajan, Houda Lamqaddam, Jaume Nualart Vilaplana, Jan Aerts

Mini-Challenge 2 Award: Outstanding Presentation of Patterns in Context
Visual Analytic Design for Contextualising Sensor Data
Authors: Jo Wood - giCentre, City University London

Mini-Challenge 2 Honorable Mention: Clear Analysis Strategy
Haztrailz: Exploratory Analysis of Trajectory and Sensor Data
Authors: Sriram Karthik Badam, Christoph Kinkeldey, Petra Isenberg

Mini-Challenge 2 Honorable Mention: User-Friendly Anomaly Detection
VISTA: Visual Interactive Spatio-Temporal Data Analysis
Authors: Kaushal Paneri, Gunjan Sehgal, Aditeya Pandey, Bindu Gupta, Siddharth Verma, Karamjit Singh, Geetika Sharma, Gautam Shroff

Mini-Challenge 2 Honorable Mention: Effective Support for Building Management
Divide and Conquer Approach to the Analysis of Complex Spatio-Temporal Sensory Data
Authors: Rainer Splechtna, Michael Beham, Denis Gračanin, Alexandra Diehl, Claudio Delrieux, Krešimir Matković

Mini-Challenge 2 Honorable Mention: Quality Aesthetics
MetaCurve: A Method for Discovering Patterns, Identifying Anomalies, and Summarizing of Periodical Time Series Datasets
Authors: Hui Tang, Zheng Zhou, Shuang Wei, Mingran Li, Siyan Liu, Hsin-man Wu, Xinghe Hu, Yuankun Song, Yingjie Chen, Zhenyu Qian

Mini-Challenge 2 + Mini-Challenge 3 combined Award: Outstanding Comprehensive Solution
STAD-HD: Spatial Temporal Anomaly Detection for Heterogeneous Data through Visual Analytics
Authors: Yu Zhang, Guozheng Li, Chufan Lai, Qiangqiang Liu, Shuai Chen, Lu Feng, Tangzhi Ye, Siming Chen, Ren Zuo, Zhuo Zhang, Zhanyi Wang, Xin Huang, Fengchao Xu, Li Yu, Shunlong Zhang, Qiusheng Li, Xiaoru Yuan

Middguard at GASTech
Authors: Christopher Andrews, Lily Taub, Shannon Ovitt

Analyzing Trajectory Data Using Power BI
Authors: Dawoon Choi, Pablo Martinez, Ivo Rusconi

An interactive graph-based pipeline approach to the analysis of VAST 2016 Mini-Challenge 2 dataset
Authors: Guilherme S. M. Carneiro, Victor M. de Oliveira, Aaron Quigley, Hugo A. D. do Nascimento

Visual Analytics for Proximity and HVAC Sensor Data: VAST 2016 Mini-Challenge 2
Authors: Karthic Madanagopal, Paul Koola, John Freeze, Kalyan Vadakkeveedu

Dynamic Employee and Sensor Visualization: VAST 2016 Mini Challenge #2
Authors: Matthew Sinda, Ian Turk, Jun Tao, Qi Liao, Chaoli Wang, Lei Shi

VAST 2016 Mini-Challenge 2
Authors: Pablo Andreoni, Adriana Romero, Alvaro Velez, Jhonny Rodriquez, and Daniel Ojeda

Addressing VAST 2016 Mini Challenge 2 with POLAR Kermode, Classifier, Excel on a Power Wall and Data Timelines.
Authors: Simon Attfield, Daniel Hewitt, Kai Xu, Peter Passmore, Adrian Wagstaff, Graham Phillips, David Windridge, Greg Dash, Richard Chapman, Lee Mason

A Novel Display Design for the Trajectory and the Environment Data Under Surveillance
Authors: Wang Junwei, Li Juncai, Zeng yuan, Li Lin, He Qi, Wang Xiangqian, Zhao Ying, Zhou Fangfang

Pororoca: Efficient Crowd Motion Monitoring and Instant Situation Awareness
Authors: Yuankun Song, Hsin-Man Wu, Xinghe Hu, Siyan Liu, Hui Tang, Zheng Zhou, Shuang Wei, Zhenyu (Cheryl) Qian, Yingjie (Victor) Chen