This answer sheet should be used for your VAST Challenge 2020 Mini-Challenge 3 submission. Please maintain the .htm format and make sure that all hyperlinks are relative to the answer form. 

Rename this form "index.htm" for your submission.  Remove these instructions and any other example text below that is highlighted in yellow. Please see the "Submission Instructions" at https://vast-challenge.github.io/2020/ for more detailed instructions.    

Entry Name:  "UWB-Smith-MC3"

VAST Challenge 2020
Mini-Challenge 3

 

 

Team Members:

Replace this list of team members with the names, affiliations, and email addresses of your own team. Indicate the primary point of contact.  Example:

Marion Smith, University of West Birmingham, smith@westbirmingham.ac.uk     PRIMARY
Paul White, University of Northeastern Washington,
white@unew.edu

Student Team:  Please enter YES or NO

 

Tools Used:

Provide a list of tools used.  Examples:

Tableau

Excel

Spinviz, developed by the University of West Birmingham CS 459 Information Visualization class, taught Spring 2011 by Dr. Smith, and adapted by the student team for the challenge.

 

Approximately how many hours were spent working on this submission in total?

Provide an estimate of the total number of hours worked on this submission by your entire team.

 

May we post your submission in the Visual Analytics Benchmark Repository after VAST Challenge 2020 is complete? Please enter a YES or NO

 

Video

Provide a link to your video.  Example:

http://www.westbirmingham.ac.uk/uwb-smith-mc3-video.wmv

 

 

 

High Resolution Image(s)

Provide a link to the high-resolution image(s) of your design.  Please limit your response to 3 images.

 

Provide your answer and corresponding images here.

 

Description

Please describe your design. How does it support situation awareness and rapid team assembly? How do interactive visual interfaces and machine learning complement one another? Respond using either a set of storyboards or a text description accompanied by supporting images. Please limit your response to 12 images and 800 words.

 

Provide your answer and corresponding images here.