Please wait a minute...
Data Analysis and Knowledge Discovery  2021, Vol. 5 Issue (2): 70-82    DOI: 10.11925/infotech.2096-3467.2020.0666
Current Issue | Archive | Adv Search |
Health Information Readability Affects Users’ Cognitive Load and Information Processing: An Eye-Tracking Study
Ke Qing(),Ding Songyun,Qin Qin
School of Information Management,Nanjing University, Nanjing 210023, China
Download: PDF (843 KB)   HTML ( 6
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] This paper analyzes the impacts of health informtion readability on users’ cognitive load and information processing. [Methods] We created two sets of health education webpages with high and low readability as experimental materials for the eye tracking tests. Then, we explored the mediating effects of cognitive load and the moderating effects of gender and task complexity. [Results] We found that readability posed significant impacts on saccade distance, as well as the total fixation duration and counts. Readability also significantly influenced the total duration of completed tasks and the accuracy of search results. Task complexity moderated the influence of readability on the time of first fixation. [Limitations] We did not consider the subjective factors of readability and the participants were mainly college students. A self-report method should be included in future studies. [Conclusions] This study promotes user information behavior research to the level of information processing. Improving readability visually could reduce users’ cognitive load, promote utilization efficiency of information, and optimize user searching experience.

Key wordsReadability      Cognitive Load      Information Processing      Health Information      Eye-Tracking     
Received: 08 July 2020      Published: 11 March 2021
ZTFLH:  G206  
Fund:Social Science Fund of Jiangsu Province(20TQA003);One Hundred Projects” for the Double First-Class Construction of Humanities and Social Science of Nanjing University(2018047)
Corresponding Authors: Ke Qing ORCID:0000-0002-6300-2682     E-mail: keqing@nju.edu.cn

Cite this article:

Ke Qing, Ding Songyun, Qin Qin. Health Information Readability Affects Users’ Cognitive Load and Information Processing: An Eye-Tracking Study. Data Analysis and Knowledge Discovery, 2021, 5(2): 70-82.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2020.0666     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2021/V5/I2/70

R 任务复杂性 实验任务
高(解释整合观点、信息) 材料A:文中提到的国家食药总局检出的违禁化学药成分有哪些?副作用是什么?
低(直接提取信息) 材料B:文中提到的元宵检测指标有哪些?
高(解释整合观点、信息) 材料C:蔬菜生吃更有营养吗?为什么?
低(直接提取信息) 材料D:文中提到的养胃雷区有哪些?
Experimental Task List
眼动指标 R 任务复杂性 性别
男性 女性
总注视时间/s 65.28(±37.21) 40.28(±28.50) 69.05(±40.46) 36.51(±18.42) 47.48(±32.75) 57.42(±37.04)
注视点个数 309.02(±163.10) 197.03(±133.63) 332.12(±176.02) 173.93(±84.43) 225.00(±145.58) 277.55(±166.72)
首次进入时间/s 35.32(±15.63) 5.91(±5.43) 24.11(±21.44) 17.12(±15.14) 20.41(±18.92) 20.79(±18.86)
左瞳孔直径变化/mm -0.24(±0.51) -0.13(±0.51) -0.19(±0.53) -0.19(±0.50) -0.22(±0.48) -0.17(±0.55)
右瞳孔直径变化/mm -0.23(±0.52) -0.25(±1.25) -0.19(±0.54) -0.31(±1.25) -0.21(±0.47) -0.28(±1.24)
眼跳距离/mm 2.72(±0.73) 2.86(±0.68) 2.73(±0.66) 3.00(±0.68) 2.82(±0.74) 2.91(±0.63)
任务的总时长/s 108.91(±50.15) 69.21(±42.17) 112.45(±56.22) 65.67(±28.66) 81.31(±43.91) 95.84(±54.66)
准确性 3.66(±0.77) 3.97(±0.26) 3.73(±0.78) 3.90(±0.29) 3.78(±0.62) 3.84(±0.56)
Descriptive Analysis of Experimental Results
眼动指标 F P
总注视时间 17.061*** 0.000
注视点个数 16.924*** 0.000
首次进入时间 189.624*** 0.000
左瞳孔直径变化 1.378 0.243
右瞳孔直径变化 0.020 0.887
眼跳距离 5.408* 0.022
任务的总时长 22.018*** 0.000
准确性 8.701** 0.004
Significance Test Results of Readability
因素 总注视时间 注视点个数 首次进入时间
F P F P F P
可读性(R) 17.072*** 0.000 17.203*** 0.000 185.300*** 0.000
性别 2.701 0.103 3.766 0.055 0.031 0.860
交叉项 0.001 0.980 0.031 0.860 0.053 0.819
Multivariate Analysis of Variance Based on Readability and Gender
因素 总注视时间 注视点个数 首次进入时间
F P F P F P
可读性(R) 22.387*** 0.000 23.475*** 0.000 212.817*** 0.000
任务复杂性 37.937*** 0.000 46.840*** 0.000 12.001** 0.001
交叉项 0.901 0.344 0.835 0.363 4.432* 0.037
Multivariate Analysis of Variance Based on Readability and Task Complexity
模型 因变量 非标准化系数 标准系数 t P
B 标准误差 β
M3:R→认知负荷 总注视时间 13.864 2.235 .496 6.203 .000
注视点个数 64.023 9.959 .509 6.429 .000
首次进入时间 10.383 .983 .697 10.563 .000
M1:R→信息加工绩效 眼跳距离 -.130 .048 -.242 -2.708 .008
任务总时长 20.822 3.122 .523 6.670 .000
准确性 -.141 .041 -.301 -3.435 .001
Regression Analysis of Readability on Cognitive Load and Information Processing Performance (M1 and M3)
因变量 模型 非标准化系数 标准系数 t P
B 标准误差 β
眼跳距离 R -.061 0.054 -.113 -1.124 .263
总注视时间 -.005 .002 -.260* 2.588 .011
R -.070 .055 -.129 -1.265 .208
注视点个数 -.001 .000 -.221* -2.162 .033
R -.040 .066 -.074 -.599 .550
首次进入时间 -.009 .004 -.241 -1.959 .053
任务总时长 R 2.555 1.193 .064* 2.133 .035
总注视时间 1.318 .043 .926*** 30.754 .000
R 1.490 .979 .037 1.522 .131
注视点个数 .302 .008 .954*** 38.775 .000
R 10.685 4.161 .269* 2.568 .011
首次进入时间 .976 .279 .365*** 3.494 .001
准确性 R -.115 .047 -.245* -2.425 .017
总注视时间 -.002 .002 -.114 -1.131 .260
R -.129 .048 -.275 -2.687 .008
注视点个数 .000 .000 -.052 -.509 .612
R -.051 .056 -.110 -.911 .364
首次进入时间 -.009 .004 .275* -2.288 .024
Hierarchical Regression of Readability and Cognitive Load on Information Processing Performance (M2)
检验关系 具体假设 结论
在线健康信息可读性(R值)与用户的认知负荷 H1a 支持
H1b 支持
H1c 支持
H1d 拒绝
在线健康信息的可读性(R值)与用户的信息加工绩效 H2a 支持
H2b 支持
H2c 支持
认知负荷的中介作用 H3a 部分支持
H3b 支持
H3c 部分支持
性别和任务复杂性的调节作用 H4a 拒绝
H4b 部分支持
Impacts of Readability on Information Processing
Impacts of Readability of Health Information on Users’ Information Processing Model
[1] 中国科学技术协会. 中国网民科普需求搜索行为报告.[EB/OL]. [2019-09-21]. https://www.cast.org.cn/art/2019/4/26/art_1281_94546.html.
[1] ( CAST. Report on Chinese Netizens’ Popular Science Information Searching Behavior [EB/OL].[2019-09-21]. https://www.cast.org.cn/art/2019/4/26/art_1281_94546.html.)
[2] Öquist G. Three Eye Movement Studies of Mobile Readability[A]//Handbook of Research on User Interface Design and Evaluation for Mobile Technology[M]. IGI Global, 2008: 945-971.
[3] Clifton C, Ferreira F, Henderson J M, et al. Eye Movements in Reading and Information Processing: Keith Rayner’s 40 Year Legacy[J]. Journal of Memory and Language, 2016,86:1-19.
doi: 10.1016/j.jml.2015.07.004
[4] 曹勇, 邹思梅. 健康信息易读性研究进展[J]. 中国健康教育, 2013,29(7):638-640.
[4] ( Cao Yong, Zou Simei. Research Progress of Health Information Readability[J]. Chinese Journal of Health Education, 2013,29(7):638-640.)
[5] 孙汉银. 中文易懂性公式[D]. 北京: 北京师范大学, 1992.
[5] ( Sun Hanyin. Chinese Reading Ease Formula[D]. Beijing: Beijing Normal University, 1992.)
[6] 荆溪昱. 中文国文教材的适读性研究:适读年级值的推估[J]. 教育研究资讯, 1995(5):113-127.
[6] ( Jing Xiyu. A Study on the Readability of Chinese Textbooks for Chinese: Estimation of the Value of the Grade of Readability[J]. Education Research Information, 1995(5):113-127.)
[7] Dale E, Chall S. A Formula for Predicting Readability[J]. Educational Research Bulletin, 1948,27(1):11-28.
[8] Klare G R. Readability [A]// Handbook of Reading Research[M]. NY: Longman, 1984: 681-744.
[9] 汪秋伊, 谢伦芳, 王蕾, 等. 健康教育材料可读性测评工具的研究进展[J]. 中国健康教育, 2019,35(1):66-71.
[9] ( Wang Qiuyi, Xie Lunfang, Wang Lei, et al. Review on Readability Assessment Tools for Health Education Materials[J]. Chinese Journal of Health Education, 2019,35(1):66-71.)
[10] Bailin A, Grafstein A. The Linguistic Assumptions Underlying Readability Formulae: A Critique[J]. Language & Communication, 2001,21:285-301.
[11] Friedman D B, Hoffman G L. A Systematic Review of Readability and Comprehension Instruments Used for Print and Web-Based Cancer Information[J]. Health Education & Behavior, 2006,33(3):352-373.
doi: 10.1177/1090198105277329 pmid: 16699125
[12] Minoughan C, Schumaier A, Kakazu R, et al. Readability of Sports Injury and Prevention Patient Education Materials from the American Academy of Orthopaedic Surgeons Website[J]. JAAOS: Global Research & Reviews, 2018,2(3):e002.
[13] Azer S A, Alghofaili M M, Alsultan R M, et al. Accuracy and Readability of Websites on Kidney and Bladder Cancers[J]. Journal of Cancer Education, 2018,33:926-944.
doi: 10.1007/s13187-017-1181-z pmid: 28281091
[14] Risoldi C Z, Gregory P, Wilson A. Readability of Consumer Health Information on the Internet: A Comparison of U.S. Government-Funded and Commercially Funded Websites[J]. Journal of Health Communication, 2012,17(9):1003-1010.
doi: 10.1080/10810730.2011.650823
[15] Piñero-López M A, Modamio P, Lastra C F, et al. Readability Assessment of Package Inserts of Biological Medicinal Products from the European Medicines Agency Website[J]. Drug Safety, 2014,37(7):543-554.
doi: 10.1007/s40264-014-0188-1
[16] D’Alessandro M, Kingsley P, Johnson-West J. The Readability of Pediatric Patient Education Materials on the World Wide Web[J]. Archives of Pediatrics & Adolescent Medicine, 2001,155(7):807-812.
doi: 10.1001/archpedi.155.7.807 pmid: 11434848
[17] 苟梦野, 赵文龙, 侯筱蓉, 等. 面向公众的网络健康信息可读性现状及对策探析——基于常见病症的定量研究[J]. 中国卫生事业管理, 2019,36(2):84-87.
[17] ( Gou Mengye, Zhao Wenlong, Hou Xiaorong, et al. Analyzing the Readability of Internet Health Information for the Public Based on Common Diseases and Its Countermeasures[J]. Chinese Health Service Management, 2019,36(2):84-87.)
[18] 孙刚. 基于线性回归的中文文本可读性预测方法研究[D]. 南京: 南京大学, 2015.
[18] ( Sun Gang. Research on Readability Prediction Methods Based on Linear Regression for Chinese Documents[D]. Nanjing: Nanjing University, 2015.)
[19] 李萍. 我国上市公司年报中“管理层讨论与分析”的可读性分析[J]. 时代金融, 2018(9):225-226.
[19] ( Li Ping. The Readability Analysis of “Management Discussion and Analysis” in the Annual Report of Listed Companies in China[J]. Times Finance, 2018(9):225-226.)
[20] Wickens C D, Carswell C M. Information Processing[A]// Handbook of Human Factors and Ergonomics[M]. The 4th Edition. John Wiley & Sons, Ltd., 2015.
[21] Sweller Sweller. Cognitive Load Theory, Learning Difficulty, and Instructional Design[J]. Learning & Instruction, 1994,4(4):295-312.
[22] 许远理. 听讲式接受学习过程中存在的一些问题——一种来自认知负荷的观点[J]. 雁北师范学院学报, 2002,18(3):4-6.
[22] ( Xu Yuanli. Analysing Some Problems in Reception Learning Processes According to a Pointview of Cognitive Load[J]. Journal of Yanbei Normal University, 2002,18(3):4-6.)
[23] 汪海波, 薛澄岐, 黄剑伟, 等. 基于认知负荷的人机交互数字界面设计和评价[J]. 电子机械工程, 2013,29(5):57-60.
[23] ( Wang Haibo, Xue Chengqi, Huang Jianwei, et al. Design and Evaluation of Human-Computer Interaction Digital Interface Based on Cognitive Load[J]. Electromechanical Engineering, 2013,29(5):57-60.)
[24] Sansgiry S S, Cady P S, Sansgiry S. Consumer Involvement: Effects on Information Processing from Over-the-Counter Medication Labels[J]. Health Marketing Quarterly, 2001,19(1):61-78.
doi: 10.1300/J026v19n01_05 pmid: 11727293
[25] Meppelink C S, Smit E G, Diviani N, et al. Health Literacy and Online Health Information Processing: Unraveling the Underlying Mechanisms[J]. Journal of Health Communication, 2016,21(2):109-120.
[26] Enny D, Charlotte V, Hartmann T. Mood as a Resource in Dealing with Health Recommendations: How Mood Affects Information Processing and Acceptance of Quit-Smoking Messages[J]. Psychology & Health, 2012,27(1):116-127.
doi: 10.1080/08870446.2011.569888 pmid: 21678163
[27] 秦琴, 柯青, 丁松云. 中文在线健康教育信息可读性计算及应用实证——以食品安全领域为例[J]. 现代情报, 2020,40(5):111-121.
[27] ( Qin Qin, Ke Qing, Ding Songyun. An Empirical Study on Readability Calculation and Application of Chinese Online Health Education Information——A Case Study of Food Safety[J]. Modern Information, 2020,40(5):111-121.)
[28] Just M A, Carpenter P A. A Theory of Reading: From Eye Fixations to Comprehension[J]. Psychological Review, 1980,87(4):329-354.
pmid: 7413885
[29] Lund H. Eye Tracking in Library and Information Science: A Literature Review[J]. Library Hi Tech, 2016,34(4):585-614.
doi: 10.1108/LHT-07-2016-0085
[30] Holmqvist K, Nyström M, Andersson R, et al. Eye Tracking: A Comprehensive Guide to Methods and Measures[M]. UK: Oxford University Press, 2011.
[31] Busjahn T, Bednarik R, Schulte C. What Influences Dwell Time During Source Code Reading? Analysis of Element Type and Frequency as Factors[C]//Proceedings of the Symposium on Eye Tracking Research & Applications. New York, 2014: 335-338.
[32] Rodeghero P, McMillan C, McBurney P W, et al. Improving Automated Source Code Summarization via an Eye-Tracking Study of Programmers[C]//Proceedings of the 36th International Conference on Software Engineering. New York, 2014: 390-401.
[33] 闫国利, 熊建萍, 臧传丽, 等. 阅读研究中的主要眼动指标评述[J]. 心理科学进展, 2013,21(4):589-605.
doi: 10.3724/SP.J.1042.2013.00589
[33] ( Yan Guoli, Xiong Jianping, Zang Chuanli, et al. Review of Eye-Movement Measures in Reading Research[J]. Advances in Psychological Science, 2013,21(4):589-605.)
doi: 10.3724/SP.J.1042.2013.00589
[34] Scheiter K, Eitel A. The Use of Eye Tracking as A Research and Instructional Tool in Multimedia Learning[A]//Digital Multimedia: Concepts, Methodologies, Tools, and Applications[M]. IGI Global, 2017: 698-719.
[35] Marlen T V, Wermeskerken M V, Jarodzka H, et al. Showing a Model’s Eye Movements in Examples Does Not Improve Learning of Problem-Solving Tasks[J]. Computers in Human Behavior, 2016,65(C):448-459.
doi: 10.1016/j.chb.2016.08.041
[36] 刘艳梅, 冉诗洋, 李德凤. 眼动法在翻译过程研究中的应用与展望[J]. 外国语(上海外国语大学学报), 2013,36(5):59-66.
[36] ( Liu Yanmei, Ran Shiyang, Li Defeng. Eye-tracking in Translation Process Research: Applications and Prospects[J]. Journal of Foreign Languages, 2013,36(5):59-66.)
[37] Rayner K, Chace K H, Slattery T J, et al. Eye Movements as Reflections of Comprehension Processes in Reading[J]. Scientific Studies of Reading, 2006,10(3):241-255.
doi: 10.1207/s1532799xssr1003_3
[38] Hyönä J, Olson R. Eye Fixation Patterns among Dyslexic and Normal Readers: Effects of Word Length and Word Frequency[J]. Journal of Experimental Psychology: Learning, Memory, and Cognition, 1995,21(6):1430-1440.
doi: 10.1037//0278-7393.21.6.1430 pmid: 7490575
[39] Sinha A, Roy D, Chaki R, et al. Readability Analysis Based on Cognitive Assessment Using Physiological Sensing[J]. IEEE Sensors Journal, 2019,19(18):8127-8135.
doi: 10.1109/JSEN.7361
[40] 王蕾. 可读性公式的内涵及研究范式——兼议对外汉语可读性公式的研究任务[J]. 语言教学与研究, 2008(6):46-53.
[40] ( Wang Lei. Some Concepts of Readability Formula and Relevant Research Paradigm as well as the Research Tasks of Formula in TCFL[J]. Language Teaching and Linguistic Studies, 2008(6):46-53.)
[41] 涂泽良, 王雪晴, 宋梦馨. 大学生阅读内容与阅读方式组合对阅读效率的影响探究[J]. 教育文化论坛, 2017,9(5):56-63.
[41] ( Tu Zeliang, Wang Xueqing, Song Mengxin. The Effect of Reading Content and Reading Style Combination on Reading Efficiency of College Students[J]. Tribune of Education Culture, 2017,9(5):56-63.)
[42] Lang A. The Limited Capacity Model of Mediated Message Processing[J]. Journal of Communication, 2000,50(1):46-70.
doi: 10.1111/j.1460-2466.2000.tb02833.x
[43] 杨海波, 白学军, 李怡繁. 认知负荷对网页广告加工过程的影响[J]. 应用心理学, 2009,15(3):230-235.
[43] ( Yang Haibo, Bai Xuejun, Li Yifan. The Influence of Cognitive Load on Processing of Web Advertisements[J]. Chinese Journal of Applied Psychology, 2009,15(3):230-235.)
[44] 黄珊, 刘晓玲. 内容分析法下阅读中认知负荷的国内研究综述[J]. 黑龙江科学, 2017,8(17):166-169.
[44] ( Huang Shan, Liu Xiaoling. A Summary of Domestic Research on Cognitive Loads in Reading under Content Analysis[J]. Heilongjiang Science, 2017,8(17):166-169.)
[45] 潘黎萍. 大学英语阅读元认知策略的自我监控和自动化与阅读效果的关系——以认知负荷理论为视角[J]. 兰州教育学院学报, 2012,28(6):63-64.
[45] ( Pan Liping. The Relationship Between Self-Monitoring and Automation of College English Reading Metacognitive Strategies and Reading Effects——From the Perspective of Cognitive Load Theory[J]. Journal of Lanzhou Institute of Education, 2012,28(6):63-64.)
[46] Kaheru S J, Kriek J. The Effect of Computer Simulations on Acquisition of Knowledge and Cognitive Load: A Gender Perspective[J]. African Journal of Research in Mathematics, Science and Technology Education, 2016,20(1):67-79.
doi: 10.1080/10288457.2016.1150558
[47] Bevilacqua A. Commentary: Should Gender Differences be Included in the Evolutionary Upgrade to Cognitive Load Theory[J]. Educational Psychology Review, 2017,29(1):189-194.
doi: 10.1007/s10648-016-9362-6
[48] Bevilacqua A, Paas F, Krigbaum G. Effects of Motion in the Far Peripheral Visual Field on Cognitive Test Performance and Cognitive Load[J]. Perceptual and Motor Skills, 2016,122(2):452-469.
doi: 10.1177/0031512516633344 pmid: 27166327
[49] Weiss C L, Konstantinidis E, Speekenbrink M, et al. Task Complexity Moderates the Influence of Descriptions in Decisions from Experience[J]. Cognition, 2018,170:209-227.
doi: 10.1016/j.cognition.2017.10.005 pmid: 29078094
[50] Becker K, Smith P J. Age, Task Complexity, Sex as Potential Moderators of Attentional Focus Effects[J]. Perceptual and Motor Skills, 2013,117(1):130-144.
doi: 10.2466/23.25.PMS.117x14z3
[51] Bell D J, Ruthven I. Searcher’s Assessments of Task Complexity for Web Searching[C]//Proceedings of European Conference on Information Retrieval. Springer, Berlin, Heidelberg, 2004: 57-71.
[52] Gill T G, Hicks R C. Task Complexity and Informing Science: A Synjournal[J]. Informing Science Journal, 2006,9.DOI: 10.28945/469.
[53] 温忠麟, 张雷, 侯杰泰, 等. 中介效应检验程序及其应用[J]. 心理学报, 2004,36(5):614-620.
[53] ( Wen Zhonglin, Zhang Lei, Hou Jietai, et al. Testing and Application of the Mediating Effects[J]. Acta Psychologica Sinica, 2004,36(5):614-620.)
[54] Ariasi N, Mason L. Uncovering the Effect of Text Structure in Learning from a Science Text: An Eye-Tracking Study[J]. Instructional Science, 2011,39:581-601.
doi: 10.1007/s11251-010-9142-5
[55] 马元广. 情绪对注意灵活性的影响: 任务难度的调节效应[J]. 心理研究, 2016,9(3):29-35.
[55] ( Ma Yuanguang. The Influence of Affect on Attentional Flexibility:The Moderating Role of Task Difficulty[J]. Psychological Research, 2016,9(3):29-35.)
[1] Liang Jiwen,Jiang Chuan,Wang Dongbo. Chinese-English Sentence Alignment of Ancient Literature Based on Multi-feature Fusion[J]. 数据分析与知识发现, 2020, 4(9): 123-132.
[2] Liu Jingru,Song Yang,Jia Rui,Zhang Yipeng,Luo Yong,Ma Jingdong. A BiLSTM-CRF Model for Protected Health Information in Chinese[J]. 数据分析与知识发现, 2020, 4(10): 124-133.
[3] Yue Yuan,Dongbo Wang,Shuiqing Huang,Bin Li. The Comparative Study of Different Tagging Sets on Entity Extraction of Classical Books[J]. 数据分析与知识发现, 2019, 3(3): 57-65.
[4] Yufeng Duan,Sisi Huang. Information Extraction from Chinese Plant Species Diversity Description Text[J]. 现代图书情报技术, 2016, 32(1): 87-96.
[5] Xiong Jing, Gao Feng, Wu Qinxia. Research on Semantic Mining for Large-scale Oracle Bone Inscriptions Foundation Data[J]. 现代图书情报技术, 2015, 31(2): 7-14.
[6] Hou Li, Li Jiao. Heterogeneous Data Integration in Developing a Non-profit Health Information Resource[J]. 现代图书情报技术, 2013, (4): 83-89.
[7] Deng Shasha, Zhang Pengzhu, Li Xinmiao. A Method for Network Opinion Modeling Based on Governmental Public Decision Domain[J]. 现代图书情报技术, 2012, (9): 69-74.
[8] Jiang Hua, Su Xiaoguang. Chinese High-frequency Words Extraction Algorithm Without Thesaurus[J]. 现代图书情报技术, 2012, 28(6): 50-53.
[9] Zhang Chengzhi,Huilin Wang. Survey on Multilingual Documents Clustering[J]. 现代图书情报技术, 2009, 25(6): 31-36.
[10] Tan Chunmei,Yan Shiwei,Liu Zimu. Design and Realization of Knowledge Element Automatic Extraction of Network Special Subject Knowledge Organization[J]. 现代图书情报技术, 2008, 24(3): 62-67.
[11] Yao Xingshan. The Improvement in a Chinese Word Segmentation Based on Hash Algorism[J]. 现代图书情报技术, 2008, 24(3): 78-81.
[12] Zhang Chengzhi,Su Xinning . Recognition Mutually Exclusive Words for Information Retrieval[J]. 现代图书情报技术, 2007, 2(2): 44-48.
[13] Huang Kun. An Overview on Affective Information Processing[J]. 现代图书情报技术, 2007, 2(11): 67-71.
[14] Zhang Chengzhi,Su Xinning . Lexical Knowledge Discovery for Information Retrieval[J]. 现代图书情报技术, 2007, 2(1): 10-14.
[15] Zhai Xikui . Application of Chinese Information Processing in the Digital Library[J]. 现代图书情报技术, 2006, 1(8): 8-11.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn