FUSION IN SUPPORT OF DYNAMIC HUMAN DECISION MAKING

Command and control can be characterised as a dynamic human decision making process. A technological perspective of command and control has led system designers to propose solutions such as data fusion to overcome many of the domain problems. This and the lack of knowledge in cognitive engineering have in the past jeopardised the design of helpful computerised aids aimed at complementing and supporting human cognitive tasks. Moreover, this lack of knowledge has most of the time created new trust problems in designed tools, and human in the loop concerns. Solving the command and control problem requires balancing the human factor perspective with the one of the system designer and coordinating the efforts in designing a cognitively fitted system to support the decision-makers. This paper presents a triad model establishing the relationship between the three elements required for the design of a system that support dynamic human decision making: the task, the human and the technology.

[1]  E. Reed.  The Ecological Approach to Visual Perception , 1989 .

[2]  Jens Rasmussen,et al.  Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[3]  R. H. Riffenburgh.  Tactical Decision making Under Stress (TADMUS) Program Study , 1991 .

[4]  W. Treurniet,et al.  Tactical Information Abstraction Framework in Maritime Command and Control , 1999 .

[5]  William S. Lind,et al.  America Can Win: The Case for Military Reform , 1986 .

[6]  Karl Haberlandt,et al.  Cognitive psychology, 2nd ed. , 1997 .

[7]  R. Shiffrin,et al.  Controlled and automatic human information processing: I , 1977 .

[8]  W. Buxton.  Human-Computer Interaction , 1988, Springer Berlin Heidelberg.

[9]  Robert W. Proctor,et al.  Human factors in simple and complex systems , 1993 .

[10]  J. Roy,et al.  Environment Perception Process in Maritime Command and Control , 1999 .

[11]  James Llinas,et al.  An introduction to multi-sensor data fusion , 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

[12]  Richard T. Antony,et al.  Principles of Data Fusion Automation , 1995 .

[13]  J J Gibson,et al.  The problem of temporal order in stimulation and perception. , 1966, The Journal of psychology.

[14]  H. Pashler.  The Psychology of Attention , 1997 .

[15]  Carol McCann,et al.  The Human in Command , 2000 .

[16]  B. Schneirdeman,et al.  Designing the User Interface: Strategies for Effective Human-Computer Interaction , 1998 .

[17]  David H. Jonassen,et al.  Handbook of Task Analysis Procedures , 1989 .

[18]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[19]  S. Paradis,et al.  Integration of all data fusion levels using a blackboard architecture , 1998 .

[20]  Jens Rasmussen,et al.  Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering , 1986 .