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Reasoning about anomalies: a study of the analytical process of detecting and identifying anomalous behavior in maritime traffic data
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (SAIL)
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (SAIL)
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
Saab AB.
2009 (English)In: Visual Analytics for Homeland Defense and Security: Proceedings of SPIE Defense, Security, and Sensing 2009 / [ed] William J Tolone, William Ribarsky, SPIE , 2009, Article ID 73460A- p.Conference paper, (Refereed)
Abstract [en]

The goal of visual analytical tools is to support the analytical reasoning process, maximizing human perceptual, understanding and reasoning capabilities in complex and dynamic situations. Visual analytics software must be built upon an understanding of the reasoning process, since it must provide appropriate interactions that allow a true discourse with the information. In order to deepen our understanding of the human analytical process and guide developers in the creation of more efficient anomaly detection systems, this paper investigates how is the human analytical process of detecting and identifying anomalous behavior in maritime traffic data. The main focus of this work is to capture the entire analysis process that an analyst goes through, from the raw data to the detection and identification of anomalous behavior.

Three different sources are used in this study: a literature survey of the science of analytical reasoning, requirements specified by experts from organizations with interest in port security and user field studies conducted in different marine surveillance control centers. Furthermore, this study elaborates on how to support the human analytical process using data mining, visualization and interaction methods.

The contribution of this paper is twofold: (1) within visual analytics, contribute to the science of analytical reasoning with practical understanding of users tasks in order to develop a taxonomy of interactions that support the analytical reasoning process and (2) within anomaly detection, facilitate the design of future anomaly detector systems when fully automatic approaches are not viable and human participation is needed.

Place, publisher, year, edition, pages
SPIE , 2009. Article ID 73460A- p.
Series
Proceedings of SPIE--the International Society for Optical Engineering, v. 7346.
Keyword [en]
analytical reasoning, visual analytics, anomaly detection, interaction, visualization, maritime domain awareness
National Category
Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-3223DOI: 10.1117/12.818117Scopus ID: 2-s2.0-70549098675ISBN: 9780819476128 OAI: oai:DiVA.org:his-3223DiVA: diva2:225421
Conference
Visual analytics for homeland defense and security : 14 April 2009, Orlando, Florida, United States
Available from: 2009-06-26 Created: 2009-06-26 Last updated: 2014-05-01Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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