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  • 1.
    Niklasson, Lars
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Riveiro, Maria
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Johansson, Fredrik
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Dahlbom, Anders
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Falkman, Göran
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Brax, Christoffer
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Kronhamn, Thomas
    Product Development, Saab Microwave Systems, Gothenburg, Sweden.
    Smedberg, Martin
    Product Development, Saab Microwave Systems, Gothenburg, Sweden.
    Warston, Håkan
    Product Development, Saab Microwave Systems, Gothenburg, Sweden.
    Gustavsson, Per M.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    A Unified Situation Analysis Model for Human and Machine Situation Awareness2007In: INFORMATIK 2007: Informatik trifft Logistik: Band 2: Beiträge der 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI) 24. - 27. September 2007 in Bremen / [ed] Otthein Herzog, Karl-Heinz Rödiger, Marc Ronthaler, Rainer Koschke, Bonn: Gesellschaft für Informatik , 2007, p. 105-109Conference paper (Refereed)
  • 2.
    Niklasson, Lars
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Riveiro, Maria
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Johansson, Fredrik
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Dahlbom, Anders
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Falkman, Göran
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Brax, Christoffer
    Product Development, Saab Microwave Systems, Gothenburg, Sweden.
    Kronhamn, Thomas
    Product Development, Saab Microwave Systems, Gothenburg, Sweden.
    Smedberg, Martin
    Product Development, Saab Microwave Systems, Gothenburg, Sweden.
    Warston, Håkan
    Product Development, Saab Microwave Systems, Gothenburg, Sweden.
    Gustavsson, Per M.
    Product Development, Saab Microwave Systems, Gothenburg, Sweden.
    Extending the scope of Situation Analysis2008In: Proceedings of the 11th International Conference on Information Fusion (FUSION 2008), Cologne, Germany, June 30–July 3, 2008, IEEE Press , 2008, p. 454-461Conference paper (Refereed)
    Abstract [en]

    The use of technology to assist human decision making has been around for quite some time now. In the literature, models of both technological and human aspects of this support can be identified. However, we argue that there is a need for a unified model which synthesizes and extends existing models. In this paper, we give two perspectives on situation analysis: a technological perspective and a human perspective. These two perspectives are merged into a unified situation analysis model for semi-automatic, automatic and manual decision support (SAM)2. The unified model can be applied to decision support systems with any degree of automation. Moreover, an extension of the proposed model is developed which can be used for discussing important concepts such as common operational picture and common situation awareness.

  • 3.
    Nilsson, Maria
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Riveiro, Maria
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Investigating human-computer interaction issues in information-fusion-based decision support2008Report (Other academic)
    Abstract [en]

    Information fusion is a research area which focuses on how to combine information from many different sources to support decision making. Commonly used information fusion systems are often complex and used in military and crises management domains. The focus of information fusion research so far has been mainly on the technological aspects. There is still a lack of understanding relevant user aspects that affect the information fusion systems as a whole. This paper presents a framework of HCI issues which considers users as embedded in the context of information fusion systems. The framework aims at providing insights regarding factors that affect user interaction to inform the development of future information fusion systems. Design considerations are presented together with a heuristic evaluation of an information fusion prototype.

  • 4.
    Riveiro, Maria
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Falkman, Göran
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Improving maritime anomaly detection and situation awareness through interactive visualization2008In: Proceedings of the 11th International Conference on Information Fusion (FUSION 2008), IEEE Computer Society , 2008, p. 47-54Conference paper (Refereed)
    Abstract [en]

    Surveillance of large land, air or sea areas with a multitude of sensor and sensor types typically generates huge amounts of data. Human operators trying to establish individual or collective maritime situation awareness are often overloaded by this information. In order to help them cope with this information overload, we have developed a combined methodology of data visualization, interaction and mining techniques that allows filtering out anomalous vessels, by building a model over normal behavior from which the user can detect deviations. The methodology includes a set of interactive visual representations that support the insertion of the user’s knowledge and experience in the creation, validation and continuous update of the normal model. Additionally, this paper presents a software prototype that implements the suggested methodology.

     

  • 5.
    Riveiro, Maria
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Falkman, Göran
    Högskolan i Skövde, Forskningscentrum för Informationsteknologi.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Visual Analytics for the Detection of Anomalous Maritime Behavior2008In: Proceedings of 12th International Conference on Information Visualisation IV08 / [ed] Ebad Banissi, Liz Stuart, Mikael Jern, Gennady Andrienko, Francis T. Marchese, Nasrullah Memon, Reda Alhajj, Theodor G. Wyeld, Remo Aslak Burkhard, Georges Grinstein, Dennis Groth, Anna Ursyn, Carsten Maple, Anthony Faiola, and Brock Craft, IEEE Computer Society , 2008, p. 273-279Conference paper (Refereed)
    Abstract [en]

    The surveillance of large sea areas often generates huge amounts of multidimensional data. Exploring, analyzing and finding anomalous behavior within this data is a complex task. Confident decisions upon the abnormality of a particular vessel behavior require a certain level of situation awareness that may be difficult to achieve when the operator is overloaded by the available information. Based on a visual analytics process model, we present a novel system that supports the acquisition of situation awareness and the involvement of the user in the anomaly detection process using two layers of interactive visualizations. The system uses an interactive data mining module that supports the insertion of the user's knowledge and experience in the creation, validation and continuous update of the normal model of the environment.

  • 6.
    Riveiro, Maria
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Kronhamn, Thomas
    Saab AB.
    Reasoning about anomalies: a study of the analytical process of detecting and identifying anomalous behavior in maritime traffic data2009In: Visual Analytics for Homeland Defense and Security: Proceedings of SPIE Defense, Security, and Sensing 2009 / [ed] William J Tolone, William Ribarsky, SPIE , 2009, p. Article ID 73460A-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.

  • 7.
    Riveiro, Maria
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Warston, Håkan
    Saab Microwave Systems AB (Sweden).
    VISAD: an interactive and visual analytical tool for the detection of behavioural anomalieis in maritime traffic data2009In: Visual Analytics for Homeland Defense and Security: Proceedings of SPIE Defense, Security, and Sensing 2009 / [ed] William J. Tolone, William Ribarsky, SPIE - International Society for Optical Engineering , 2009, p. Article ID 734607-Conference paper (Refereed)
    Abstract [en]

    Monitoring the surveillance of large sea areas normally involves the analysis of huge quantities of heterogeneous data from multiple sources (radars, cameras, automatic identification systems, reports, etc.). The rapid identification of anomalous behavior or any threat activity in the data is an important objective for enabling homeland security. While it is worth acknowledging that many existing mining applications support identification of anomalous behavior, autonomous anomaly detection systems are rarely used in the real world. There are two main reasons: (1) the detection of anomalous behavior is normally not a well-defined and structured problem and therefore, automatic data mining approaches do not work well and (2) the difficulties that these systems have regarding the representation and employment of the prior knowledge that the users bring to their tasks. In order to overcome these limitations, we believe that human involvement in the entire discovery process is crucial.

    Using a visual analytics process model as a framework, we present VISAD: an interactive, visual knowledge discovery tool for supporting the detection and identification of anomalous behavior in maritime traffic data. VISAD supports the insertion of human expert knowledge in (1) the preparation of the system, (2) the establishment of the normal picture and (3) in the actual detection of rare events. For each of these three modules, VISAD implements different layers of data mining, visualization and interaction techniques. Thus, the detection procedure becomes transparent to the user, which increases his/her confidence and trust in the system and overall, in the whole discovery process.

  • 8.
    Riveiro, Maria
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Johansson, Fredrik
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Falkman, Göran
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Supporting Maritime Situation Awareness Using Self Organizing Maps and Gaussian Mixture Models2008In: Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence (SCAI 2008) / [ed] Anders Holst, Per Kreuger, Peter Funk, Amsterdam: IOS Press , 2008, p. 84-91Conference paper (Refereed)
    Abstract [en]

    Maritime situation awareness is of importance in a lot of areas – e.g. detection of weapon smuggling in military peacekeeping operations, and harbor traffic control missions for the coast guard. In this paper, we have combined the use of Self Organizing Maps with Gaussian Mixture Models, in order to enable situation awareness by detecting deviations from normal behavior in an unsupervised way. Initial results show that simple anomalies can be detected using this approach.

1 - 8 of 8
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  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf