An Actor-Based Bottom-Up Simulation Aid for Complex Dynamic Decision Making

The product design process plays a central role in ensuring that new products are realized with improved quality, in a short lead-time and with costs kept to a minimum. It is identified that making decisions dynamically on how the design process should proceed is not trivial. A computational environment that aids dynamic decision making on the design process would be useful in ensuring successful design of new products. A key component of analysing and making decisions on the progression of the design process is a model that captures an ongoing design process. In this paper, an approach to modelling an ongoing design process is proposed based on the use of design nodes. The approach allows an ongoing design process to be modelled that facilitates dynamic decision making on how the design process should progress and accounts for the state of the design problem. The approach allows top-down and bottom-up design strategies to be modelled.

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Assessing Individual Differences in Decision Making Styles: Analytical vs. Intuitive

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120204601204 ◽

2002 ◽

Vol 46 (12) ◽

pp. 953-957 ◽

Cited By ~ 4

Author(s):

Thomas E. Nygren ◽

Rebecca J. White

Keyword(s):

Decision Making ◽

Individual Differences ◽

Human Performance ◽

Self Report ◽

Dynamic Decision Making ◽

Complex Dynamic ◽

Decision Style ◽

Decision Strategies ◽

Decision Making Styles ◽

Report Measure

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.

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A problem shared is learning doubled: Deliberative processing in dyads improves learning in complex dynamic decision-making tasks

Computers in Human Behavior ◽

10.1016/j.chb.2015.01.052 ◽

2015 ◽

Vol 48 ◽

pp. 654-662 ◽

Cited By ~ 6

Author(s):

Nadin Beckmann ◽

Jens F. Beckmann ◽

Damian P. Birney ◽

Robert E. Wood

Keyword(s):

Decision Making ◽

Dynamic Decision Making ◽

Complex Dynamic

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The Benefits and the Costs of Using Auditory Warning Messages in Dynamic Decision-Making Settings

Journal of Cognitive Engineering and Decision Making ◽

10.1177/1555343417735398 ◽

2017 ◽

Vol 12 (2) ◽

pp. 112-130 ◽

Cited By ~ 1

Author(s):

Cindy Chamberland ◽

Helen M. Hodgetts ◽

Benoît R. Vallières ◽

François Vachon ◽

Sébastien Tremblay

Keyword(s):

Decision Making ◽

Change Detection ◽

Visual Cues ◽

Dynamic Environments ◽

Dynamic Decision Making ◽

Complex Dynamic ◽

Warning Messages ◽

And Control ◽

The Impact ◽

Auditory Warning

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.

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