Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/79542

A Visual Decision-Support System using Fingerprint Matrices applied to Cyclical Spatio-Temporal Data from Motorsports

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Title:A Visual Decision-Support System using Fingerprint Matrices applied to Cyclical Spatio-Temporal Data from Motorsports
Authors:Street, Chris
Hoeber, Orland
Keywords:Interactive Visual Analytics and Visualization for Decision Making
decision support
information visualization
motorsports
vehicle telemetry
Date Issued:04 Jan 2022
Abstract:Visualizing cyclical spatio-temporal data is an important part of understanding how and why objects move in the context of motorsports, which is critical feedback for drivers to improve their performance. Current methods have problems such as occlusion and loss of context which significantly limit our ability to see and understand vehicle data. Here we demonstrate how the fingerprint matrix method (which is normally used in lexical analysis) can be applied in vehicle motion analysis to overcome these two problems. Compared to traditional methods using traction circle scatterplot displays of acceleration force data from a race car, our prototype design allows decision makers to see individual datapoints in a more concise display. We show that informative but previously-hidden anomalies and patterns become more easily recognized in the data. Our design generalizes to other cyclical spatio-temporal visualization problems involving transportation, medicine, and the natural world.
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/79542
ISBN:978-0-9981331-5-7
DOI:10.24251/HICSS.2022.210
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Interactive Visual Analytics and Visualization for Decision Making


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