面向装甲车辆乘员多车协同信息处理作业的时间预测模型

王茹斓; 刘双; 完颜笑如; 冯传宴; 解芳; 周悦; 闵雨晨

doi:10.19554/j.cnki.1001-3563.2026.14.013

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包装工程（设计栏目） ›› 2026, Vol. 47 ›› Issue (14) : 142-152. DOI: 10.19554/j.cnki.1001-3563.2026.14.013

工业设计

面向装甲车辆乘员多车协同信息处理作业的时间预测模型

王茹斓¹, 刘双¹, 完颜笑如^1,*, 冯传宴^1,2, 解芳³, 周悦³, 闵雨晨¹

作者信息 +

Time Prediction Model for Multi-vehicle Collaborative Information Processing Operations for Armored Vehicle Crews

WANG Rulan¹, LIU Shuang¹, WANYAN Xiaoru^1,*, FENG Chuanyan^1,2, XIE Fang³, ZHOU Yue³, MIN Yuchen¹

Author information +

文章历史 +

摘要

目的面向多车协同典型任务场景开展乘员任务绩效建模对于系统作业效能的发挥具有重要意义。方法基于GOMS模型基本架构,结合装甲车辆多车协同信息处理作业特征分析,从人-机交互与人-人交互等不同维度提取并适应性优化操作单元,构建以任务完成时间为评价指标的多车协同信息处理作业时间预测模型。为验证模型的有效性,基于装甲车辆高保真双车协同作业任务仿真实验平台,设计典型双车协同作业任务场景并开展工效实验,通过作业绩效记录系统、视频-音频辅助分析系统采集装甲车辆乘员绩效数据。结果通过面向16个协同任务片段开展模型验证,结果表明,模型计算结果与实验测量结果的变化趋势基本一致且显著高相关,模型的有效性获得初步验证。结论本研究所构建模型可用于预测分析装甲车辆乘员多车协同信息处理作业的任务完成时间,并对潜在的人机交互操作风险点进行探查分析,从而为显控界面与操控流程的优化设计提供理论方法。

Abstract

The performance modeling of crew tasks in typical multi-vehicle collaborative task scenarios is crucial for maximizing operation efficiency of systems. Based on the basic framework of GOMS model, the characteristics of multi-vehicle collaborative information processing operation of armored vehicles were analyzed to extract and adaptively optimize the operation units from two dimensions of human-human interaction and human-machine interaction, thus constructing a task completion time-based prediction model for multi-vehicle collaborative information processing tasks. In order to verify the validity of the model, typical dual-vehicle cooperative operation task scenarios were designed and ergonomic experiments were carried out based on the high-fidelity dual-vehicle cooperative operation task simulation experimental platform for armored vehicles, collecting performance data through the operation performance recording system and video-audio assisted analysis recording. The model validation was carried out with 16 collaborative task segments, and the model calculation results were generally consistent with the experimentally measured trends, showing a significantly high correlation and then the validity of the model was preliminarily verified. The model constructed in this work can predict and analyze the task completion time of multi-vehicle collaborative information processing operations performed by armored vehicle crew members, as well as detect and analyze potential human-machine interaction operation risk points, thereby providing theoretical methods for the optimized design of display and control interfaces and operation.

导出引用1

王茹斓, 刘双, 完颜笑如, 冯传宴, 解芳, 周悦, 闵雨晨. 面向装甲车辆乘员多车协同信息处理作业的时间预测模型[J]. 包装工程. 2026, 47(14): 142-152 https://doi.org/10.19554/j.cnki.1001-3563.2026.14.013

WANG Rulan, LIU Shuang, WANYAN Xiaoru, FENG Chuanyan, XIE Fang, ZHOU Yue, MIN Yuchen. Time Prediction Model for Multi-vehicle Collaborative Information Processing Operations for Armored Vehicle Crews[J]. Packaging Engineering. 2026, 47(14): 142-152 https://doi.org/10.19554/j.cnki.1001-3563.2026.14.013

中图分类号： TB472 TJ810.2

参考文献

[1] 周孙夏, 刘双, 完颜笑如, 等. 噪声环境下告警冗余设计模式对装甲车乘员响应操作绩效的影响[J]. 北京航空航天大学学报, 2023: 1-10.
ZHOU S X, LIU S, WANYAN X R, et al.Influences of multimodal redundant alarm design mode on reaction performanceof armored vehicle crew under noise environment[J]. Journal of Beijing University of Aeronautics and Astronautics, 2023: 1-10.
[2] HUANG Q, SUN H, WEI Y, et al.Comprehensive assessment of mental workload of armored vehicle operators based on SVM and DS evidence theory[J]. Cognition, Technology & Work, 2025, 27(1-2): 137-157.
[3] 汪国胜, 曹宇, 张伟杰, 等. 装甲车防爆座椅抗爆指标合理性研究与建议(军用车辆乘载员防地雷爆炸减振抗爆座椅设计研究系列二)[J]. 兵器装备工程学报, 2022, 43(12): 22-28.
WANG G S, CAO Y, ZHANG W J, et al.Research and suggestion on rationality of anti-explosionindex of armored vehicle anti-explosion seats[J]. Journal of Ordnance Equipment Engineering, 2022, 43(12): 22-28.
[4] AHMADI K D, RASHIDI A J, MOGHRI A M.Design and simulation of autonomous military vehicle control system based on machine vision and ensemble movement approach[J]. The Journal of Supercomputing, 2022, 78(15): 17309-17347.
[5] HUANG Q, GUO M, WEI Y, et al.A Real-time Assessment System for Cognitive Performances of Armored Vehicle Crews Based upon the Multi-source Information Fusion[J]. International Journal of Human-Computer Interaction, 2025, 41(2): 932-950.
[6] NAPOLI N J, STEPHENS C L, KENNEDY K D, et al.NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes[J]. Information Fusion, 2023, 91: 15-30.
[7] WANG Z, LIU S, WANYAN X, et al.Pilot workload measurement model based on task complexity analysis[J]. International Journal of Industrial Ergonomics, 2024, 104: 103637.
[8] 薛红军, 庞俊锋, 栾义春, 等. 驾驶舱飞行员认知行为一体化仿真建模[J]. 计算机工程与应用, 2013, 49(23): 266-270.
XUE H J, PANG J F, LUAN Y C, et al.Cockpit pilot cognitive behavioral integration simulation modeling[J]. Computer Engineering and Applications, 2013, 49(23): 266-270.
[9] 聂俊峰, 刘维平, 傅斌贺, 等. 面向装甲车辆乘员信息处理的作业时间预测模型研究[J]. 兵工学报, 2017, 38(2): 233-239.
NIE J F, LIU W P, FU B H, et al.Predictive operation time model for information processing task of crew in armored vehicle[J]. Acta Armamentarii, 2017, 38(2): 233-239.
[10] XIE Y, ZHOU R, QU J.Fitts’ law on the flight deck: evaluating touchscreens for aircraft tasks in actual flight scenarios[J]. Ergonomics, 2023, 66(4): 506-523.
[11] SAHA S, SENAPATI A, MAITY R.An approach to predict the task efficiency of web pages[J]. Multimedia Tools and Applications, 2023, 82(16): 25217-25233.
[12] AL-MEGREN S, KHABTI J, AL-KHALIFA H S. A Systematic Review of Modifications and Validation Methods for the Extension of the Keystroke-Level Model[J]. Advances in Human-Computer Interaction, 2018, 2018: 1-26.
[13] SETTHAWONG P, SETTHAWONG R.Updated Goals Operators Methods and Selection Rules (GOMS) with touch screen operations for quantitative analysis of user interfaces[J]. Int. J. Adv. Sci. Eng. Inf. Technol, 2019, 9(1): 258.
[14] PARK J, WOZNIAK D, ZAHABI M.Modeling novice law enforcement officers’ interaction with in-vehicle technology[J]. Applied Ergonomics, 2024, 114: 104154.
[15] XUE P, PI D, WAN C, et al.Collaborative planning and control of heterogeneous multi-ground unmanned platforms[J]. Engineering Applications of Artificial Intelligence, 2024, 136: 108968.
[16] 郑梦月, 解闵涵. 振动环境下界面复杂度对视觉认知的影响研究[J]. 包装工程, 2025, 46(8): 115-123.
ZHENG M Y, XIE M H.Effect of Interface Complexity on Visual Cognition in Vibration Environment[J]. Packaging Engineering, 2025, 46(8): 115-123.
[17] PEI Z, ZHAO W, HU L, et al.Factors affecting the situational awareness of armored vehicle occupants[J]. Sensors, 2024, 24(11): 3688.
[18] MARLOW S L, LACERENZA C N, PAOLETTI J, et al.Does team communication represent a one-size-fits-all approach : A meta-analysis of team communication and performance[J]. Organizational Behavior and Human Decision Processes, 2018, 144: 145-170.
[19] ZHOU J, WU X, LV Y, et al.Recent progress on the study of multi-vehicle coordination in cooperative attack and defense: an overview[J]. Asian Journal of Control, 2022, 24(2): 794-809.
[20] 苏畅, 周垚, 袁晓芳. 基于GOMS模型的网上购物流程设计优化研究[J] 包装工程, 2021, 42(6): 113-119.
SU C, ZHOU Y, YUAN X F.Design and Optimization of Online Shopping Process Based on GOMS Model[J]. Packaging Engineering, 2021, 42(6): 113-119.
[21] JORRITSMA W, HAGA P J, CNOSSEN F, et al.Predicting human performance differences on multiple interface alternatives: KLM, GOMS and CogTool are unreliable[J]. Procedia Manufacturing, 2015, 3: 3725-3731.
[22] BURNS L R, NEMBHARD I M, SHORTELL S M.Integrating network theory into the study of integrated healthcare[J]. Social Science & Medicine, 2022, 296: 114664.
[23] 孟国. 汉语语速与对外汉语听力教学[J]. 世界汉语教学, 2006(2): 129-137, 4.
MENG G.Speed of utterance and the teaching of Chinese listening to foreign students[J]. Chinese Teaching in the World, 2006(2): 129-137.
[24] RIEGER T, MANZEY D.Understanding the Impact of Time Pressure and Automation Support in a Visual Search Task[J]. Human Factors: The Journal of the Human Factors and Ergonomics Society, 2024, 66(3): 770-786.
[25] 廖建桥, 张万山. 论中文的阅读速度[J]. 人类工效学, 1996(1): 38-41, 70.
LIAO J Q, ZHANG W S.On the Reading Speed of Chinese[J]. Chinese Journal of Ergonomics, 1996(1): 38-41.
[26] 栾可迪, 郭保桥, 魏中亮, 等. 装甲车辆多模态交互和环境负荷对乘员任务绩效的影响[J]. 兵工学报, 2025, 46(4): 344-358.
LUAN K D, GUO B Q, WEI Z L, et al.Effects of Armored Vehicle Multi-modal Interactions and Environmental Load on Mission Performance of Occupant[J]. Acta Armamentarii, 2025, 46(4): 344-358.
[27] 赵子俊, 陈士涛, 贺维艳, 等. 有人/无人机协同作战效能智能评估方法[J]. 航空学报, 2025: 1-10.
ZHAO Z J, CHEN S T, HE W Y, et al.Intelligent Assessment Method for MAV/UAV Collaborative Combat Effectiveness[J]. Acta Aeronautica et Astronautica Sinica, 2025: 1-10.