The revised JDL Fusion model Level 4 process refinement covers a broad spectrum of actions such as sensor management and control. A limitation of Level 4 is the purpose of control - whether it be for user needs or system operation. Level 5, User Refinement, is a modification to the Revised JDL model that distinguishes between machine process refinement and user refinement. User refinement can either be human control actions or refinement of the user's cognitive model. In many cases, fusion research concentrates on the machine and does not take full advantage of the human as not only a qualified expert to refine the fusion process, but also as customer for whom the fusion system is designed. Without user refinement, sensor fusion is incomplete, inadequate, and the user neglects its worthiness. To capture user capabilities, we explore the concept of user refinement through decision and action based on situational leadership models. We develop a Fuse-Act Situational User Refinement (FASUR) model that details four refinement behaviors: Neglect, Consult, Rely, and Interact and five refinement functions: Planning, Organizing, Coordinating, Directing, and Controlling. Process refinement varies for different systems and different user information needs. By designing a fusion system with a specific user in mind, vis Level 5, a fusion architecture can meet user's information needs for varying situations, extend user sensing capabilities for action, and increase the human-machine interaction.
[1]
L. R. Hoffman,et al.
Management of Organizational Behavior.
,
1970
.
[2]
P. Hersey,et al.
Management of Organizational Behavior: Utilizing Human Resources
,
1971
.
[3]
M. E. Shaw,et al.
Handbook of Leadership; a Survey of Theory and Research
,
1974
.
[4]
Jens Rasmussen,et al.
Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering
,
1986
.
[5]
James Llinas,et al.
Multi Sensor Data Fusion
,
1990
.
[6]
D. L. Hall,et al.
Mathematical Techniques in Multisensor Data Fusion
,
1992
.
[7]
Alan N. Steinberg,et al.
Revisions to the JDL data fusion model
,
1999,
Defense, Security, and Sensing.
[8]
Driss Kettani,et al.
A qualitative spatial model for information fusion and situation analysis
,
2000,
Proceedings of the Third International Conference on Information Fusion.
[9]
Suzanne M. Mahoney,et al.
Ó USE OF DOMAIN KNOWLEDGE MODELS TO RECOGNIZE COOPERATIVE FORCE ACTIVITIES
,
2001
.
[10]
James Llinas,et al.
Handbook of Multisensor Data Fusion
,
2001
.
[11]
Erik Blasch,et al.
JDL level 5 fusion model: user refinement issues and applications in group tracking
,
2002,
SPIE Defense + Commercial Sensing.
[12]
Ivan Kadar,et al.
Perceptual reasoning in adaptive fusion processing
,
2002,
SPIE Defense + Commercial Sensing.