Predictive Operation Time Model for Information Processing Task of Crew in Armored Vehicle

doi:10.3969/j.issn.1000-1093.2017.02.004

Abstract

Abstract: The accurate prediction of operation time is essential to study the operating state of crew in armored vehicle, and is important to improve the operational effectiveness of the man-machine system. In view of a basic trend that the operation type gradually changes into information processing，the information input task is studied，and the operate-units and cognitive process are systematically analyzed. A predictive operation time model is built based on crew’s control and cognitive characteristics. The predictive operation time model is verified through experiment, with an aim to solve the prediction problem of crew’s information processing time under the condition of emergency. The test results show that the proposed model could describe the whole cognitive process of crew’s information input task and predict the reaction times of operate-units accurately. The model has high prediction accuracy and reusability.Key

Key words: ordnancescienceandtechnology, armoredvehicle, informationprocessing, informationinput, predictivetimemodel

CLC Number:

TJ810.1

NIE Jun-feng， LIU Wei-ping， FU Bin-he， ZHANG Zheng， YANG Bo. Predictive Operation Time Model for Information Processing Task of Crew in Armored Vehicle[J]. Acta Armamentarii, 2017, 38(2): 233-239.

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第38卷第2期2017 年2月兵工学报ACTA
ARMAMENTARIIVol.38No.2Feb.2017

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