Paper Info
Title
Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation
Abstract
Autonomous unmanned aerial vehicles are complex systems of hardware, software, and human input. Understanding this complexity is key to their development and operation. Information visualizations already exist for exploring flight logs but comprehensive analyses currently require several disparate and custom tools. This design study helps address the pain points faced by autonomous unmanned aerial vehicle developers and operators. We contribute: a spiral development process model for grounded evaluation visualization development focused on progressively broadening target user involvement and refining user goals; a demonstration of the model as part of developing a deployed and adopted visualization system; a data and task abstraction for developers and operators performing post-flight analysis of autonomous unmanned aerial vehicle logs; the design and implementation of DATA COMETS, an open-source and web-based interactive visualization tool for post-flight log analysis incorporating temporal, geospatial, and multivariate data; and the results of a summative evaluation of the visualization system and our abstractions based on in-the-wild usage. A free copy of this paper and source code are available at osf.io/h4p7g
Year
DOI
Venue
2020
10.1111/cgf.13994
COMPUTER GRAPHICS FORUM
DocType
Volume
Issue
Journal
39.0
3.0
ISSN
Citations 
PageRank 
0167-7055
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
David Saffo182.46
Aristotelis Leventidis231.04
Jain Twinkle300.34
Michelle Borkin423715.82
Cody Dunne543727.88