VAST challenge 2015: Grand challenge - Team VADER/VIS Award for Outstanding Comprehensive Submission

Michael Steptoe, Robert Krueger, Yifan Zhang, Xing Liang, Rolando Garcia, Sagarika Kadambi, Wei Luo, Thomas Ertl, Ross Maciejewski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The VAST 2015 Grand Challenge focused on a fictional park called DinoFunWorld where visitors are provided with a handheld device for communicating with park patrons and registering their visits to rides. Our goal was to develop a visual analytics system to help explore the spatiotemporal movement and communication data of the park patrons. Specifically, we wanted was to determine which patrons were involved in a theft that occurred at a park pavilion. In order to facilitate this data exploration, we have created a web-deployable system that combines data wrangling, trajectory analysis, network analysis, and interactive visualizations for discovering movement and communication patterns of users and their networks. We earned the Award for Outstanding Comprehensive Submission.

Original languageEnglish (US)
Title of host publication2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings
EditorsMin Chen, Gennady Andrienko
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-120
Number of pages2
ISBN (Electronic)9781467397834
DOIs
StatePublished - Dec 4 2015
Event10th IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Chicago, United States
Duration: Oct 25 2015Oct 30 2015

Publication series

Name2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings

Other

Other10th IEEE Conference on Visual Analytics Science and Technology, VAST 2015
Country/TerritoryUnited States
CityChicago
Period10/25/1510/30/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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