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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.
    Riveiro, Maria
    et al.
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Gustavsson, Per M.
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Lebram, Mikael
    Högskolan i Skövde, Institutionen för informationsteknologi.
    Bengstsson, Mats
    Saab Training Systems, Saab AB, Huskvarna, Jönköping, Sweden.
    Blomqvist, Pär
    Saab Training Systems, Saab AB, Huskvarna, Jönköping, Sweden.
    Wallinius, Martin
    Saab Training Systems, Saab AB, Helsingborg, Sweden.
    Enhanced Training through Interactive Visualization of Training Objectives and Models2016In: Proceedings of the STO-MP-MSG-143, Ready for the Predictable, Prepared for the Unexpected: M&S for Collective Defence in Hybrid Environments and Hybrid Conflicts, NATO Science & Technology Organization (STO) , 2016Conference paper (Refereed)
    Abstract [en]

    Military forces operate in complex and dynamic environments [1] where bad decisions might have fatal consequences. A key ability of the commander, team and individual warfighter is to quickly adapt to novel situations. Live, Virtual and Constructive training environments all provide elements of best practices for this type of training. However, many of the virtual training are designed without thorough consideration of the effectiveness and efficiency of embedded instructional strategies [2], and without considering the cognitive capabilities and limitations of trainees. As highlighted recently by Stacy and Freeman [3], large military training exercises require a significant commitment of resources, and to net a return on that investment, training scenarios for these events should systematically address well-specified training objectives, even if they often, do not.

    In order to overcome these shortcomings with both Live and Virtual training systems and following our previous work [4,5,6], this paper presents a design solution for a proof-of-concept prototype that visualizes and manages training objectives and performance measures, at individual and collective levels. To illustrate its functionality we use real-world data from Live training exercises. Finally, this paper discusses how to learn from previous training experiences using data mining methods in order to build training models to provide instructional personalized feedback to trainees.

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