Extending the scope of situation analysis

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.

[1]  M. Daily,et al.  A review of time critical decision making models and human cognitive processes , 2006, 2006 IEEE Aerospace Conference.

[2]  Mica R. Endsley,et al.  Theoretical Underpinnings of Situation Awareness, A Critical Review , 2000 .

[3]  J. Roy From Data Fusion to Situation Analysis , 2001 .

[4]  L. Shattuck,et al.  A Dynamic Process Model for the Design and Assessment of Network Centric Systems , 2007 .

[5]  Lawrence G. Shattuck,et al.  A Dynamic Process Model for the Design and Assessment of Network Systems , 2006 .

[6]  J. Adams Unmanned Vehicle Situation Awareness , 2006 .

[7]  D. A. Lambert Situations for situation awareness , 2001 .

[8]  Alan N. Steinberg,et al.  Rethinking the JDL Data Fusion Levels , 2005 .

[9]  Tom Ziemke,et al.  A Unified Situation Analysis Model for Human and Machine Situation Awareness , 2007, GI Jahrestagung.

[10]  Mary Jane Hall,et al.  Removing the HCI Bottleneck: How the Human-Computer Interface (HCI) Affects the Performance of Data Fusion Systems* , 2001 .

[11]  Mica R. Endsley,et al.  Design and Evaluation for Situation Awareness Enhancement , 1988 .

[12]  Philip Moore,et al.  Information Fusion : What can the manufacturing sector learn from the defence industry? , 2005 .

[13]  David J. Bryant,et al.  Modernizing Our Cognitive Model , 2004 .

[14]  Berndt Brehmer,et al.  The Dynamic OODA Loop : Amalgamating Boyd ’ s OODA Loop and the Cybernetic Approach to Command and Control ASSESSMENT , TOOLS AND METRICS , 2005 .

[15]  Erik Blasch,et al.  Level 5: user refinement to aid the fusion process , 2003, SPIE Defense + Commercial Sensing.

[16]  L. Kester Networked Adaptive Interactive Hybrid Systems (NAIHS) for multiplatform engagement capability , 2008, 2008 European Radar Conference.