基于情境自适应的指挥信息系统交互设计研究

颜羽鹏; 姜可

doi:10.19554/j.cnki.1001-3563.2026.08.001

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包装工程（设计栏目） ›› 2026, Vol. 47 ›› Issue (8) : 1-13. DOI: 10.19554/j.cnki.1001-3563.2026.08.001

工业设计

基于情境自适应的指挥信息系统交互设计研究

颜羽鹏, 姜可^*

作者信息 +

Interaction Design of Command Information System Based on Context Adaptation

YAN Yupeng, JIANG Ke^*

Author information +

文章历史 +

摘要

目的在多目标无人机反制情境下,应用自适应交互设计方法进行指挥信息系统设计。方法从指挥信息系统概念和自适应交互设计需求出发,应用K-近邻算法匹配决策预案,运用随机多权重TOPSIS法计算目标威胁度,利用马尔科夫奖励函数训练辅助决策智能体;利用有限状态机FSM实现自适应界面的状态迁移触发和动态信息显示。结果多目标情境增加了指挥人员做出准确决策的难度,自适应交互设计促进了人和指挥信息系统的精准合作。结论指挥信息系统设计中,无人机蜂群反制是当前学界面临的挑战。自适应交互设计方法以威胁度和最优火力分配计算为着力点,训练人机协同辅助决策智能体进行预案信息动态可视化推送,降低了指挥员决策难度和认知负荷,提高了人机交互效能,对未来指挥信息系统和自适应交互设计的发展和研究具有借鉴意义。

Abstract

The work aims to design a command information system through adaptive interaction design in the context of multi-objective drone countermeasures. Starting from the concept of command information systems and the requirements of adaptive interaction design, the K-nearest neighbor algorithm was used to match decision-making plans, the random multi-weight TOPSIS method was used to calculate the target threat degree, and Markov neural networks were used to train decision support agents; finite-state machine FSM was used to realize state transition triggering and dynamic information display of the adaptive interface. As a result, multi-objective scenarios increased the difficulty of commanders to make accurate decisions, and adaptive interaction design promoted the precise cooperation between humans and command information systems. In the design of command information systems, the swarm drone countermeasure is a challenge currently faced by the academic community. The adaptive interaction design method focuses on the calculation of threat degree and optimal firepower allocation, and trains the human-computer cooperation assisted decision agent to dynamically visualize the push of plan information, which reduces the difficulty of decision-making and cognitive load of commanders, improves the efficiency of human-computer interaction, and has reference significance for the development and research of future command information systems and adaptive interaction design.

导出引用1

颜羽鹏, 姜可. 基于情境自适应的指挥信息系统交互设计研究[J]. 包装工程. 2026, 47(8): 1-13 https://doi.org/10.19554/j.cnki.1001-3563.2026.08.001

YAN Yupeng, JIANG Ke. Interaction Design of Command Information System Based on Context Adaptation[J]. Packaging Engineering. 2026, 47(8): 1-13 https://doi.org/10.19554/j.cnki.1001-3563.2026.08.001

中图分类号： TB482 E955

参考文献

[1] ULAHANNAN A, THOMPSON S, JENNINGS P, et al.Using Glance Behaviour to Inform the Design of Adaptive HMI for Partially Automated Vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(5): 4877-4892.
[2] HU D L, YANG X Y, ZHAO X H, et al.Method of HMI Optimization Design Based on Fixation Transition Characteristics and Visual Attention Trajectory: A Driver Simulator Study[J]. International Journal of Automotive Technology, 2022, 23(4): 1127-1140.
[3] GOMAA A, ALLES A, MEISER E, et al.What’s on Your Mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-Vehicle Interaction while Driving[C]//Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Seoul Republic of Korea. ACM, 2022: 215-225.
[4] LAVIE T, MEYER J.Benefits and Costs of Adaptive User Interfaces[J]. International Journal of Human- Computer Studies, 2010, 68(8): 508-524.
[5] DAVIDSSON S, ALM H.Context Adaptable Driver Information - Or, What Do Whom Need and Want When?[J]. Applied Ergonomics, 2014, 45(4): 994-1002.
[6] Schwarz, Jessica,Fuchs,et al. Towards a more holistic view on user state assessment in adaptive human-computer interaction[C]//2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2014.
[7] Carlos Duarte,Luis Carrico,Association for Computing Machinery(ACM),et al. A Conceptual Framework for Developing Adaptive Multimodal Applications[C]//2006 International Conference on Intelligent User Interfaces: IUI 06. 2005.
[8] YEN G G, ACAY D.Adaptive User Interfaces in Complex Supervisory Tasks[J]. ISA Transactions, 2009, 48(2): 196-205.
[9] 罗仕鉴, 朱上上, 应放天, 等. 手机界面中基于情境的用户体验设计[J]. 计算机集成制造系统, 2010, 16(2): 239-248.
LUO S J, ZHU S S, YING F T, et al.Scenario-Based User Experience Design in Mobile Phone Interface[J]. Computer Integrated Manufacturing Systems, 2010, 16(2): 239-248.
[10] 樊辉锦, 巫银花, 毕月, 等. 航母编队反无人机蜂群作战能力需求分析[J]. 指挥控制与仿真, 2023, 45(2): 17-23.
FAN H J, WU Y H, BI Y, et al.Requirement Analysis of Aircraft Carrier Formation Counter-UAV Swarm Combat Capability[J]. Command Control & Simulation, 2023, 45(2): 17-23.
[11] 王泽源, 白亮, 顾伟. 一种基于遗传算法的反无人机蜂群方法[J]. 计算机仿真, 2023, 40(4): 73-77.
WANG Z Y, BAI L, GU W.An Anti-UAV Swarm Method Based on Genetic Algorithm[J]. Computer Simulation, 2023, 40(4): 73-77.
[12] RICH E.User Modeling via Stereotypes[J]. Cognitive Science, 1979, 3(4): 329-354.
[13] REICHMAN-ADAR R.Extended Person-Machine Interface[J]. Artificial Intelligence, 1984, 22(2): 157-218.
[14] NORCIO A F, STANLEY J.Adaptive Human-Computer Interfaces[J]. Naval Research Laboratory Report, 1988, 2: 1693-1697.
[15] 董俊花. 风险决策影响因素及其模型建构[D]. 兰州: 西北师范大学, 2006.
DONG J H.The Influential Factor and Construction of Factor Model of Risk Decision-Making[D]. Lanzhou: Northwest Normal University, 2006.
[16] 李奎. 地面武器平台指挥控制系统设计及实现[D]. 南京: 南京理工大学, 2008.
LI K.Design and Implementation of Command and Control System for Ground Weapon Platform[D]. Nanjing: Nanjing University of Science and Technology, 2008.
[17] LAFRENIERE B J.Task-Centric User Interfaces[D]. Canada: University of Waterloo, 2014.
[18] 樊银亭, 滕东兴, 杨海燕, 等. 基于经验感知的自适应用户界面模型[J]. 计算机学报, 2011, 34(11): 2211-2223.
FAN Y T, TENG D X, YANG H Y, et al.An Adaptive User Interface Model Based on Experience Awareness[J]. Chinese Journal of Computers, 2011, 34(11): 2211-2223.
[19] 钟明. 交互设计中基于用户目标的任务分析方法及流程研究[D]. 长沙: 湖南大学, 2009.
ZHONG M.The Research on the Methods and Flow of Task Analysis Based on User Target in Interactive Design[D]. Changsha: Hunan University, 2009.
[20] BRIDLE R, MCCREATH E. Inducing Shortcuts on a Mobile Phone Interface[C]//Proceedings of the2006 International Conference on Intelligent User Interfaces: IUI 06. New York: Association for Computing Machinery(ACM), 2005.
[21] CHOE P, KIM C, LEHTO M R, et al.Experimental Comparison of Adaptive vs. Static Thumbnail Displays[J]. Lecture Notes in Computer Science, 2007, 4551(1): 41-48.
[22] 喻纯, 史元春. 基于自适应光标的图形用户界面输入效率优化[J]. 软件学报, 2012, 23(9): 2522-2532.
YU C, SHI Y C.Optimizing Input Efficiency for Graphical User Interface Using Adaptive Cursors[J]. Journal of Software, 2012, 23(9): 2522-2532.
[23] 程俊俊, 童馨, 耿卫东. 基于运动传感的感知用户界面综述[J]. 计算机应用, 2011, 31(S1): 104-108.
CHENG J J, TONG X, GENG W D.Review on Perceptual User Interfaces Based on Motion Sensors[J]. Journal of Computer Applications, 2011, 31(S1): 104-108.
[24] 高岩. 基于大规模无约束数据的书写者自适应的中文手写识别系统研究[D]. 广州: 华南理工大学, 2013.
GAO Y.Study on Writer Adaptive Handwriting Chinese Character Recognition System Based on Comprehensive Online Unconstrained Dataset[D]. Guangzhou: South China University of Technology, 2013.
[25] 程时伟. 基于上下文感知的移动设备自适应用户界面设计研究[D]. 杭州: 浙江大学, 2009.
CHENG S W.Research on Adaptive User Interface Design for Mobile Device Based on Context-Awareness[D]. Hangzhou: Zhejiang University, 2009.
[26] 何秀琴. 基于情境感知的手机自适应用户界面设计研究[D]. 北京: 北京邮电大学, 2012.
HE X Q.A Study of Adaptive User Interface Design for Mobile Phone Based on Context-Awareness[D]. Beijing: Beijing University of Posts and Telecommunications, 2012.
[27] PAYMANS T F, LINDENBERG J, NEERINCX M.Usability Trade-offs for Adaptive User Interfaces: Ease of Use and Learnability[J]. Intelligence, 2004, 0: 301-303.
[28] HUANG J, WHITE R W. No Clicks, No Problem: Using Cursor Movements to Understand and Improve Search[C]//Proceedings of the Annual CHI Conference on Human Factors in Computing Systems. New York: ACM, 2011.
[29] 苌道方, 钟悦. 考虑行为和眼动跟踪的用户兴趣模型[J]. 河南科技大学学报(自然科学版), 2014, 35(1): 49-52.
CHANG D F, ZHONG Y.A User Interest Model Based on Behavior and Eye-Tracking[J]. Journal of Henan University of Science & Technology (Natural Science), 2014, 35(1): 49-52.
[30] LÓPEZ-JAQUERO V, MONTERO F, MOLINA J P, et al. Model-Based Design of Adaptive User Interfaces through Connectors[M]//Interactive Systems. Design, Specification, and Verification. Berlin, Heidelberg: Springer, 2003: 245-257.
[31] BRUSILOVSKY P.KnowledgeTree: A Distributed Architecture for Adaptive E-Learning[C]//Proceedings of the International World Wide Web Conference. New York: ACM, 2004.
[32] NORMAN D A, DRAPER S W.User Centered System Design: New Perspectives on Human-Computer Interaction[M]. Boca Raton: CRC Press, 2017.
[33] TAN M, LE Q.Efficientnet: Rethinking Model Scaling for Convolutional Neural Networks[C]. International Conference on Machine Learning. PMLR, 2019: 6105-6114.
[34] HELMHOLZ P, ZIESMANN E, ROBRA-BISSANTZ S.Context-Awareness in the Car: Prediction, Evaluation and Usage of Route Trajectories[C]//Design Science at the Intersection of Physical and Virtual Design. Berlin, Heidelberg: Springer, 2013: 412-419.
[35] FEIGH K M, DORNEICH M C, HAYES C C.Toward a Characterization of Adaptive Systems: A Framework for Researchers and System Designers[J]. Human Factors, 2012, 54(6): 1008-1024.
[36] 李世灵, 傅秀芬, 胡俊锋. 自适应人机界面的新模型机制探讨[J]. 现代计算机(专业版), 2005(12): 24-27.
LI S L, FU X F, HU J F.The New Model and Mechanism of Adaptive Human Computer Interface[J]. Modern Computer, 2005(12): 24-27.
[37] 陈中, 王杰贵, 唐希雯, 等. 基于K近邻算法的来波方向估计方法[J]. 探测与控制学报, 2022, 44(1): 24-28.
CHEN Z, WANG J G, TANG X W, et al.A DOA Estimation Method Based on K-Nearest Neighbor[J]. Journal of Detection & Control, 2022, 44(1): 24-28.
[38] MICA R E, JORDAN D, TRISTAN E, et al.Divergence in Situation Awareness and Workload[J]. Ergonomics,2025, 68(10): 1618-1634.
[39] WANG A J,ZHANG Z H, WANG P W, et al.A Situation Analysis Method for Specific Domain Based on Multi-source Data Fusion(Conference Paper)[J]. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 10954(1): 160-171.
[40] 孔祥忠. 战场态势估计和威胁估计[J]. 火力与指挥控制, 2003, 28(6): 91-94.
KONG X Z.Battlefield Situation and Threat Assessment[J]. Fire Control & Command Control, 2003, 28(6): 91-94.
[41] 欧爱辉, 朱自谦. 基于多属性决策和态势估计结果的空战威胁评估方法[J]. 火控雷达技术, 2006, 35(2): 64-67.
OU A H, ZHU Z Q. A Method of Threat Assessment Based on MADM and Results of Situation Assessment in Air to Air Combat[J]. Fire Control Radar Technology, 2006, 35(2): 64-67.[万方]
[42] 雷英杰. 基于直觉模糊推理的态势与威胁评估研究[D]. 西安: 西安电子科技大学, 2005.
LEI Y J.Research on Situation and Threat Assessment Based on Intuitionistic Fuzzy Reasoning[D]. Xi'an: Xidian University, 2005.
[43] LIU J Y, WANG G, FU Q, et al.Task Assignment in Ground-to-Air Confrontation Based on Multiagent Deep Reinforcement Learning[J]. Defence Technology, 2023, 19: 210-219.
[44] 陈登, 陈楚湘, 周春华. 基于OODA环的杀伤网节点重要性评估[J]. 兵工学报, 2024, 45(2): 363-372.
CHEN D, CHEN C X, ZHOU C H.Importance Evaluation of Kill Network Nodes Based on OODA Loop[J]. Acta Armamentarii, 2024, 45(2): 363-372.
[45] WALSH S E, FEIGH K M.Understanding Human Decision Processes: Inferring Decision Strategies from Behavioral Data[J]. Journal of Cognitive Engineering and Decision Making, 2022, 16(4): 301-325.
[46] GUAN W, CUI Z W, ZHANG X K.Intelligent Smart Marine Autonomous Surface Ship Decision System Based on Improved PPO Algorithm[J]. Sensors, 2022, 22(15): 5732.
[47] 刘伟涛, 顾鸿, 李春洪. 基于德尔菲法的专家评估方法[J]. 计算机工程, 2011, 37(S1): 189-191.
LIU W T, GU H, LI C H.Expert Evaluation Method Based on Delphi Method[J]. Computer Engineering, 2011, 37(S1): 189-191.
[48] 孙凌云, 王可幸, 陈培, 等. 多通道人机交互中感觉刺激的模拟方法研究综述[J]. 包装工程, 2023, 44(8): 81-94.
SUN L Y, WANG K X, CHEN P, et al.Review of Sensory Feedback Simulation Methods in Multi-Modal Human-Computer Interaction[J]. Packaging Engineering, 2023, 44(8): 81-94.
[49] 戴敏丽. 基于虚拟现实的设备装配训练系统设计与实现[D]. 武汉: 华中科技大学, 2019.
DAI M L.Design and Implementation of Equipment Assembly Training System Based on Virtual Reality[D]. Wuhan: Huazhong University of Science and Technology, 2019.
[1] CHEN S Y, EPPS J.Using Task-Induced Pupil Diameter and Blink Rate to Infer Cognitive Load[J]. Human- Computer Interaction, 2014, 29(4): 390-413.
[50] 尤洋, 王以宁, 张海. 智慧课堂环境下教学视频复杂度与学习者认知负荷关系研究[J]. 现代远距离教育, 2020(2): 91-96.
YOU Y, WANG Y N, ZHANG H.Research on the Relationship between the Complexity of Teaching Video and Learners' Cognitive Load in Intelligent Classroom Environment[J]. Modern Distance Education, 2020(2): 91-96.
[51] MALEWSKA K.The Profile of an Intuitive Decision Maker and the Use of Intuition in Decision-Making Practice[J]. Management, 2018, 22(1): 31-44.
[52] HAREZLAK K, RZESZUTEK J, KASPROWSKI P.The Eye Tracking Methods in User Interfaces Assessment[C]//Intelligent Decision Technologies. Cham: Springer, 2015: 325-335.
[53] STEINDORF L, RUMMEL J.Do Your Eyes Give You Away? A Validation Study of Eye-Movement Measures Used as Indicators for Mindless Reading[J]. Behavior Research Methods, 2020, 52(1): 162-176.
[54] ŽIŽOVIĆ M, MILJKOVIĆ B, MARINKOVIĆ D. Objective Methods for Determining Criteria Weight Coefficients: A Modification of the CRITIC Method[J]. Decision Making: Applications in Management and Engineering, 2020, 3(2): 149-161.
[55] YIN J H, DU X H, YUAN H S, et al.TOPSIS Power Quality Comprehensive Assessment Based on a Combination Weighting Method[C]//2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). Taiyuan, China. IEEE, 2022: 1303-1307.
[56] WANG J X, WANG Y H.Analysis on Influencing Factors of Financial Risk in China Media Industry Based on Entropycritie Method and XGBoost[J]. Academic Journal of Business & Management, 2022,4(2):102-106.
[57] KUMAR R, SINGH S, BILGA P S, et al.Revealing the Benefits of Entropy Weights Method for Multi-Objective Optimization in Machining Operations: A Critical Review[J]. Journal of Materials Research and Technology, 2021, 10: 1471-1492.