Mary Fendley (Advisor), Pratik Parikh (Committee Member), Richard Warren (Committee Member)
Master of Science in Industrial and Human Factors Engineering (MSIHE)
In the ISR domain, time-critical decision-making and dealing with multiple information feeds places high demands on the human. When designing aids and tools, the decision maker must be taken into account. This research looks toward designing a decision aid based the personality type of the operator. The BFI is used to determine the impact of personality and decision aid type (graphical vs. textual) on performance. Results show Openness and Agreeableness to be the strongest single factors for decision aid impact on performance. A model was also developed to show how the human takes the information and relates it to a mental model for use in making an identification. This can assist the ISR community in developing an adaptive aiding system to reduce the cycle time in the decision making process and have the greatest impact on performance.
Department or Program
Department of Biomedical, Industrial & Human Factors Engineering
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