伴随着我国工业水平与互联网通信技术的不断革新，矿山行业逐渐从智能化矿山迈向智慧化矿山。人机交互界面不仅是智慧矿山系统的重要组成部分之一，同时也是沟通操作者与各矿山机械和矿山环境之间最直接最频繁的桥梁。由于智慧矿山系统的人机交互界面结构层次复杂，承载信息量大，突发任务紧急等因素，不仅需要操作者进行常态化监控，在突发任务来临时还需要操作者能够及时做出判断与远程调控。因此不良的人机交互界面，会使操作者在工作时的视觉认知压力过大，从而引发人为操作失误等事故。认知负荷作为影响人工作与学习效率的重要因素，在智慧矿山信息交互界面中同样可以影响操作者的工作效率。因此引入认知负荷理论，对智慧矿山信息交互界面的设计策略进行优化，提高操作者在交互界面中的工作效率，降低操作者的认知负荷，是十分必要的。

针对基于认知负荷理论的智慧矿山信息交互界面优化研究做了以下工作：

（1）根据对认知负荷理论、智慧矿山信息交互界面等相关概念的文献梳理，明确了认知负荷的不同分类及其对学习与工作效率的相关性影响。同时分析了操作者在使用智慧矿山信息交互界面进行作业的交互流程，并引入认知负荷理论结合信息交互界面的内容，构建了认知负荷下信息交互界面AHP分层模型。又介绍了信度系数权重评价方法，为后续研究提供理论与方法支撑。

（2）构建了智慧矿山信息交互界面优化流程模型。根据认知负荷下信息交互界面AHP分层模型，采用信度系数法确定了交互界面中各信息内容的综合权重，并在此基础上确定交互界面各信息的布局。使用色差公式将界面的配色进行量化，并通过主观视觉舒适度评价确定界面配色。设计眼动实验对界面中的文本呈现方式进行研究，进一步确定界面中主要文本的中英文呈现方式。再分别依据外在认知负荷、内在认知负荷、相关认知负荷在界面中的组成成分，确定界面优化的具体内容及优化策略可选择的方式，以便生成多种优化方案供进一步研究。

（3）在明确优化内容与方式的基础上，生成了多种基于认知负荷理论的智慧矿山信息交互界面优化方案样式。通过设计眼动实验，检验每种界面方案样式的操作效率，依据实验数据分析研究各优化内容与方式对界面操作效率的影响。通过对比各界面的操作效率选取最优优化方案样式并确定界面优化策略。

（4）为验证认知负荷理论下的智慧矿山信息交互界面优化模型的可用性和有效性，依据界面优化策略对某智慧矿山信息交互界面进行优化，并输出完整的智慧矿山信息交互界面。对优化前后的界面开展更细化的眼动实验，全面对比优化前后界面的操作效率，分析数据对结论进行验证。

针对智慧矿山信息交互界面操作效率低下的问题，引入认知负荷理论系统地提出了适合智慧矿山信息交互界面的优化模型，量化了交互界面中各类信息之间的权重，研究了各优化内容和方式对界面操作效率的影响，为智慧矿山系统中信息交互界面的优化方法提供了科学的方案和参考。

With the continuous innovation of industrial technology and Internet communication technology in China, mines are gradually developing from intelligence to intelligence. As an important part of the intelligent mining system, the human-computer interface is the most direct and frequent bridge between operators and mining machinery and mining environment. Due to the complex structure of the human-computer interaction interface of the intelligent mine system, the large amount of bearing information, emergency tasks and other factors, the operator is not only required to conduct regular monitoring, but also needs to be able to make timely judgments and remote control when emergency tasks come. Therefore, the poor human-computer interaction interface will cause the operator to work under too much visual cognitive pressure, which will lead to human operation errors and other accidents. As an important factor affecting people's work and learning efficiency, cognitive load can also affect the work efficiency of operators in the intelligent mine information interaction interface. Therefore, it is of great significance to introduce cognitive load theory, optimize the design strategy of intelligent mine information interaction interface, and improve the operation efficiency of the interface.

The following work has been done for the optimization of intelligent mine information interaction interface based on cognitive load theory:

(1) Combines the cognitive load theory and the intelligent mine information interaction interface with relevant literature, and clarifies the different classifications of cognitive load and their correlation effects on learning and work efficiency. At the same time, it analyzes the interaction process between the intelligent mine information interaction interface and the operator, and introduces the cognitive load theory and the content of the information interaction interface, and constructs the AHP hierarchical model of the information interaction interface under the cognitive load. It also introduces the evaluation method of reliability coefficient weight, which provides theoretical and methodological support for subsequent research.

(2) The optimization process model of intelligent mine information interaction interface is constructed. According to the AHP hierarchical model of the information interaction interface under cognitive load, the comprehensive weight of each information content in the interactive interface is determined by using the reliability coefficient method, and on this basis, the layout of each information in the interactive interface is determined. The color matching of the interface was quantified by color difference formula and determined by subjective visual comfort evaluation. An eye movement experiment was designed to study the presentation mode of text in the interface and further determine the presentation mode of main text in the interface in both Chinese and English. Then, according to the components of external cognitive load, internal cognitive load and related cognitive load in the interface, the specific content of interface optimization and the optional way of optimization strategy are determined, so as to generate a variety of optimization schemes for further study.

(3) On the basis of clear optimization contents and methods, a variety of optimization schemes of intelligent mine information interaction interface based on cognitive load theory are generated. Through the design of eye movement experiment, the operation efficiency of each interface scheme style was tested, and the influence of each optimization content and mode on the interface operation efficiency was analyzed and studied according to the experimental data. By comparing the operation efficiency of all surfaces, the optimal optimization scheme style is selected and the interface optimization strategy is determined.

(4) In order to verify the availability and effectiveness of the intelligent mine information interaction interface optimization model based on the cognitive load theory, an intelligent mine information interaction interface is optimized according to the interface optimization strategy, and a complete intelligent mine information interaction interface is output. Conduct more detailed eye movement experiments on the interface before and after optimization, comprehensively compare the operation efficiency of the interface before and after optimization, analyze the data to verify the conclusions.

Aiming at the low operation efficiency of the intelligent mine information interaction interface, the optimization model suitable for the intelligent mine information interaction interface is systematically proposed by introducing the cognitive load theory, quantifying the weight of various types of information in the interactive interface, analyzing the color difference and color matching of the interface, the presentation mode of text, and studying the influence of each optimization content and mode on the interface operation efficiency. It provides a scientific scheme and reference for the optimization design of intelligent mine information interaction interface.

[1] 马彩虹,李旭芳.煤矿监测监控技术应用现状和发展趋势 [J].煤,2001(02):63-65.

[2] 朱超,吴仲雄,张诗启.数字矿山的研究现状和发展趋势 [J].现代矿业,2010,26(02):25-27.

[3] 顾清华,江松,李学现,卢才武,陈露.人工智能背景下采矿系统工程发展现状与展望 [J].金属矿山,2022(05):10-25.

[4] 吴立新,殷作如,邓智毅,等.论21世纪的矿山——数字矿山[J].煤炭学报,2000(04):337-342.

[5] 戈尔.数字地球对二十一世纪人类星球的理解 [J].地球信息,1998(02):8-11.

[6] 吴立新,朱旺喜,张瑞新.数字矿山与我国矿山未来发展[J].科技导报,2004(07):29-31+28.

[7] 毛善君,刘桥喜,马蔼乃,等.“数字煤矿”框架体系及其应用研究[J].地理与地理信息科学,2003(04):56-59.

[8] 王金华,黄曾华.中国煤矿智能开采科技创新与发展 [J].煤炭科学技术,2014,42(09):1-6+21.

[9] 李梅,杨帅伟,孙振明,等.智慧矿山框架与发展前景研究 [J].煤炭科学技术,2017,45(01):121-128+134.

[10] Yang LQ , Giannakis G в. UItra - wideband communications an idea whose time has come [J]. IEEE Signal Processing Magazine ,2005(11):26-54.

[11] Win м Z . Dardari D , Molisch AF , et al . History and applications of UWB [J].Proceeding of the IEEE ,2009,97(2):198-204.

[12] 孙继平,陈晖升.智慧矿山与5G和WiFi6 [J].工矿自动化,2019,45(10):1-4.

[13] IEEE Std 802.11ac-2013part11:wireless LAN medium accesS control ( MAC ) and physical layer ( PHY ) specifications amend ment 4:enhancements for very high throughput for operation in bands below 6GHz [S].

[14] IEEE Std 802.11ax-2018 draft standard for information technology - telecommunications and information exchange between systems - local and metropolitan area networks - specific requirements part11:wireless LAN medium access control ( MAC ) and physical layer ( PHY ) specifications amendment 1enhancements for high efficiency WLAN [S].

[15] John Sweller, Jeroen J.G.van Merrienboer,and Fred G.W.C.Paas3.Cognitive Architecture and Instructional Design [J].Educational Psychology Review, 1998,10(3):251-296

[16] Paas,F,Renkl,A.,&Sweller,J.Cognitive loadtheory and instructional design:Recent develop-ments [J].Educational Psychologis t,2003,38(1):1-4.

[17] Sweller,J.Cognitive load theory,learning difficulty,and instructional design [J].Learning and Instruction,1994,4(3):295-312.

[18] 张慧,张定文,黄荣怀.智能教育时代认知负荷理论发展、应用与展望——“第十一届国际认知负荷理论大会”综述 [J].现代远程教育研究,2018(06):37-44.

[19] 张婧婧,牛晓杰,刘杨,等.学习科学中“4E+S”认知理论模型的内涵与应用 [J].现代教育技术,2021,31(08):23-31.

[20] Kebritchi,M., Hirumi,A., Bai,H.The Effects of Modern Mathematics Computer Games on Mathematics Achievem ent and Class Motivation [J].Computers and Education, 55 (2):427-443.

[21] 王秀丽,闫晓,蒋晓.基于情绪认知的家用儿童慢性病医疗器具设计 [J].包装工程,2022,43(06):62-68.

[22] 张彤,赵翠霞,郑锡宁.基于认知理论的多媒体教学界面设计研究 [J].心理科学,2004(06):1502-1505.

[23] 刘颖.人机交互界面的可用性评估及方法 [J].人类工效学,2002(02):35-38.

[24] 张婷.人机交互界面设计在产品可用性中的应用研究 [J].包装工程,2014,35(20):63-66.

[25] 孙林辉,韩贝贝,袁晓芳.矿山瓦斯监测系统中界面参数名称呈现方式的眼动研究 [J].人类工效学,2020,26(2):1-7+18.

[26] 李晶,郁舒兰,吴晓莉.人机界面形状特征编码对视觉认知绩效的影响 [J].计算机辅助设计与图形学学报,2018,30(01):163-172+179.

[27] 滕红,王正东,涂善东,章文俊.过程系统中人机界面布局设计的实验研究 [J].机械设计与研究,2008(05):79-82+87.

[28] 徐兆方,柳忠起,王兴伟,等.多目标搜索过程中的眼动研究 [J].生物医学工程学杂志,2017,34(02):214-219.

[29] 杨景,李培林,王崴,瞿珏,刘晓卫.指控舱显控界面字符显示对认知负荷的影响 [J].计算机工程与设计,2015,36(12):3306-3310+3323.

[30] SWELLER J.Cognitive Load During Problem Solving:Effects on learning [J].Cognitive Science,1988,12(2):257-285.

[31] SWELLER J, AYRES P, KALYUGA S. Cognitive Load Theory [M]. New York: Springer,2011.

[32] 吕鹏飞,何敏,陈晓晶,等.智慧矿山发展与展望 [J].工矿自动化,2018,44(9):84-88.

[33] GB/T 34679-2017,智慧矿山信息系统通用技术规范 [S].北京：中华人民共和国国家质量监督检验检疫总局,2017.

[34] 关于加快煤矿智能化发展的指导意见 [N]. 中国煤炭报,2020-03-05(2).

[35] 胡文涛,卓敏敏,赵立厂,等.一种智慧矿山信息交互方法 [J].工矿自动化,2020,46(10):55-60.

[36] 刘璞. 基于符号学的智慧城市移动终端交互界面研究 [D].武汉大学,2014.

[37] Hartson HR. Cognitive, Physical, Sensory, and Functional Affordances in Interaction Design [J]. Behaviour & Information Technology, 2003,22(5):315- 338.

[38] Moreno R, Mater R. Interactive Multimodal Learning Environments[J]. Educational Psychology Re-view, 2007, 19(3): 309-326.

[39] Preece J, Rogers Y, Sharp H. Interaction Design beyond Human Computer Interaction[M]. USA: John Wiley & Sons Inc, 2002.

[40] 贺孝梅,李剑钰.人机交互中认知负荷的成因分析与设计策略研究 [J].包装工程,2020,41(10):24-30.

[41] 夏春艳,蒋鲲.基于信度系数的人机界面评价指标权重分配 [J].沈阳工业大学学报,2013,35(1):53-57.

[42] 冯青,武智灵.基于QFD的应急通信车公理化设计与评价研究 [J].湖南包装,2019,34(2):67-71.

[43] 李琳,刘雅奇,李双刚.一种群决策专家客观权重确定的改进方法 [J].运筹与管理,2011,20(04):77-81+99．

[44] CHATZIMOURATIDIS AI,PILAVACHI PA. Multicriteria evaluation of power plants impact on the living standardusing the analytic hierarchy process [J]. Energy Policy,2008,36(3):1074-1089.

[45] DAGDEVIREN M,YAVUZ S,KILINC N. Weapon selection using the AHP and TOPSIS methods under fuzzy environment [J].Expert Systems with Applications, 2009,36(4):8143-8151.

[46] YANG CL, CHUANG S P,HUANG R H. Manufacturing evaluation system based on AHP/ANP approach for wafer fabricating industry [J].Expert Systems with Applications 2009 36(8) :11369-11377.

[47] 罗立鸿. 人眼对比度和色差阈值测试实验研究 [D].北京理工大学,2016.

[48] 王可 . 计算机辅助色彩设计理论和方法研究 [D]. 西北工业大学 , 2007.

[49] 王欣悦 . 复杂信息系统界面色彩编码研究 [D].东南大学 ,2018.

[50] 沈张帆,李瑞,牛亚峰.复杂系统数字界面的多层级导航布局实验研究 [J].包装工程,2021,42(04):70-76.

[51] 冯青,吴梦迪,余隋怀,等.基于BP神经网络的罐式车辆配色与评价方法研究 [J].机械设计,2019,36(1):118-123.

[52] Leslie Carlson Vaughan. Understanding movement[P]. Human factors in computing systems,1997.

[53] Buhr, K. and M.J. Dugas, Investigating the construct validity of intolerance of uncertainty and its unique relationship with worry [J]. Journal of Anxiety Disorders, 2006. 20(2): 222-236.

[54] Yingshi Tao,Ronghua Wang. Language and Time: A Cognitive Linguistics Approach[J]. Australian Journal of Linguistics,2015,35(4).

[55] 冯青,范丁力,杨惠珺,赵思伊.认知负荷下的智慧矿山信息交互界面优化 [J].西安科技大学学报,2022,42(05):1028-1036.