An execution time prediction model for crew information processing in new special vehicles

Abstract

Task execution time prediction modeling is of great significance to the safety of special vehicle crew and maintenance of overall combat effectiveness. In our study, a task execution time prediction model for crew information processing task is proposed considering the characteristics of information processing task, as well as the interaction mode of man-machine system of special vehicles. In addition, a model validation experiment was conducted adopting 20 subjects facing to two kinds of representative tasks, and both of them have two levels of complexities. The result shows that there is a highly positive correlation (r = 0.999, p = 0.001) between the model prediction and the experimental results of four tasks, which indicates that the model has a good applicability. Based on the rationality of model validation, the application research of the model was conducted. The result shows that for the sub-tasks with more objects and visual searching difficulty, the speech interaction mode can reduce the operation duration to a great extent; for simple subtasks with less operation steps and strong coherence, the touch interaction mode has certain advantages.

A human-system integration framework and its application for special vehicle interface design under typical human readiness levels

“…Concerning the HSI process of performance application, the supporting models facilitate performance modeling through three key steps: task decomposition, parameter configuration and model construction, and model validation. 21

Figure 2 Examples of HSI practices for crew interfaces under typical HRLs in the development phase of special vehicles

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