scholarly journals A Method for Effective Use of Enterprise Modelling Techniques in Complex Dynamic Decision Making

Author(s):  
Souvik Barat ◽  
Vinay Kulkarni ◽  
Tony Clark ◽  
Balbir Barn
Author(s):  
Thomas E. Nygren ◽  
Rebecca J. White

Decision strategies are often characterized as being intuition-based or analytically-based. The use of these strategies is proposed to be associated with individual differences in propensity toward using different decision making styles. A reliable self-report measure, the Decision Making Styles Inventory (DMI), consisting of 15 items on each of three scales was constructed. The items were found to differentiate among an “analytical”, an “intuitive”, and a “regret-based” emotional decision making style. The analytical and intuitive scales were found to predict differences in performance in a complex dynamic decision making task. on a decision making subtask, a greater general reliance on an analytical decision making style was found to lead to poorer performance. Greater reliance on a more intuitive approach had no effect on this subtask, but was found to predict better performance as workload levels increased. These findings suggest that human performance may be significantly influenced when either a more intuitive or analytical decision style is used. Implications for training the adaptive decision maker are discussed.


2015 ◽  
Vol 48 ◽  
pp. 654-662 ◽  
Author(s):  
Nadin Beckmann ◽  
Jens F. Beckmann ◽  
Damian P. Birney ◽  
Robert E. Wood

2017 ◽  
Vol 12 (2) ◽  
pp. 112-130 ◽  
Author(s):  
Cindy Chamberland ◽  
Helen M. Hodgetts ◽  
Benoît R. Vallières ◽  
François Vachon ◽  
Sébastien Tremblay

The failure to notice critical changes in both visual and auditory scenes may have important consequences for performance in complex dynamic environments, especially those related to security, such as aviation, surveillance during major events, and command and control of emergency response. Previous work has shown that a significant number of situation changes remain undetected by operators in such environments. In the current study, we examined the impact of using auditory warning messages to support the detection of critical situation changes and to a broader extent the decision making required by the environment. Twenty-two participants performed a radar operator task involving multiple subtasks while detecting critical task-related events that were cued by a specific type of audio message. Results showed that about 22% of the critical changes remained undetected by participants, a percentage similar to that found in previous work using visual cues to support change detection. However, we found that audio messages tended to bias threat evaluation toward perceiving objects as more threatening than they were in reality. Such findings revealed both benefits and costs associated with using audio messages to support change detection in complex dynamic environments.


2009 ◽  
Author(s):  
C. Dominik Guss ◽  
Jarrett Evans ◽  
Devon Murray ◽  
Harald Schaub

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