收稿日期: 2015-01-25
修回日期: 2015-06-30
网络出版日期: 2015-08-05
基金资助
本文系国家科技支撑计划课题"文化资源服务平台解决方案及标准研究"(项目编号:2012BAH01F01)研究成果之一。
Study on Web Browsing Behaviors and Cognitive Influential Factors Based on Three-dimensional Model
Received date: 2015-01-25
Revised date: 2015-06-30
Online published: 2015-08-05
[目的/意义]研究Web环境下的用户浏览行为的规律,分析用户在浏览行为中认知、物理和情感3个维度之间的对应关系以及认知维度的影响因素。[方法/过程]通过为被试设计指定任务,要求被试在完成任务时进行出声思考,对其口头报告进行转录、分割、编码,进一步使用SPSS对编码数据进行统计分析。[结果/结论]随着认知阶段的顺序变化,物理维度的新建与停滞动作逐渐减少、后退与停止动作逐渐增多,情感维度的消极情绪所占比例下降、积极情绪所占比例上升。设定认知维度的评价阶段的投入阈值,帮助用户发现具体搜索目标,有助于提高浏览行为的速度和效果,增加用户的积极情感体验。
耿骞 , 杨倩 . 基于三维模型的网络信息浏览行为及认知影响因素研究[J]. 图书情报工作, 2015 , 59(15) : 87 -93,105 . DOI: 10.13266/j.issn.0252-3116.2015.15.013
[Purpose/significance] To study the browsing behaviors of web users, this research analyzes the corresponding relationship among cognitive, physical and emotional dimensions and the influential factors of cognitive dimension.[Method/process] Web users are assignedto designed tasks and asked to think aloud.Theiroralreports aretranscribed, cut and encoded. Then encoded data is analyzed in statistical way by SPSS.[Result/conclusion] Conclusionsare drawn as follows: as the phases of cognitive develop, the setting ups and stagnations in the physical dimension decrease, while backing and stopping actions increase; simultaneously, proportion of the negative feelings in emotional dimension reduce, while the positive feelings raise. The study reveals thatsetting thresholds for the information evaluating stage, can help usersfind the specific search target,improve thespeed and effectiveness in web browsing behaviors, and increase their positive emotional experience. The conclusion enhances the existingthree-dimensional model and gives suggestion on the website design.
Key words: browsing behavior; Web user; three-dimensional model; cognitive dimension
[1] Prefontaine G, Bartlett J C, Toms E G. A taxonomy of the functions supported by browsing facilitators[C]//Proceedings of the Annual Conference of CAIS/Actes du congrès annuel de l'ACSI, 2001.
[2] 王庆稳, 邓小昭. 网络用户信息浏览行为研究[J]. 图书馆理论与实践, 2009(2):55-58.
[3] Wilson T D. Models in information behaviour research[J]. Journal of Documentation, 1999, 55(3):249-270.
[4] Liebscher P, Marchionini G. Browse and analytical search strategiesin a full-text CD-ROM encyclopedia[J], School Library Media Quart, 1988, 16(4): 223-233.
[5] Carmel E, Crawford S, Chen Hsinchun. Browsing in hypertext:A cognitive study[J]. IEEE Transactions on Systems, Man and Cybernetics, 1992, 22(5):865-883.
[6] 迪莉娅. 西方信息行为认知方法研究[J]. 中国图书馆学报, 2011, 37(2):97-104.
[7] 王知津, 韩正彪. 信息行为集成化研究框架初探[J]. 中国图书馆学报, 2012, 38(1):87-95.
[8] 邹永利. 情报检索研究的理性主义传统与认知观点[J]. 中国图书馆学报, 1998, 24(3):35-43.
[9] Dervin B. Sense-making theory and practice: An overview of user interests in knowledge-seeking and use[J]. Journal of Knowledge Management, 1998, 2(2):36-46.
[10] Kuhlthau C C. Inside the search process: Information seeking from the user's perspective[J]. Journal of the American Society for Information Science, 1991, 42(5):361-371.
[11] Bates M J. The design of browsing and berrypicking techniques for the online search interface[J]. Online Review, 1989, 13(5):407-424.
[12] Ellis D, Roberts N, Hounsell D, et al. Information man or information action as a heuristic for information studies - Comments on the positions[J]. Social Science Information Studies, 1985, 5(1):25-32.
[13] Chmiel A, Kowalska K, Holyst J A. Scaling of human behavior during portal browsing[J]. Physical Review E, 2009, 80(6):1-7.
[14] Nahl D. A discourse analysis technique for charting the flow of micro-information behavior[J]. Journal of Documentation, 2007, 63(3):323-339.
[15] MacMullin S E, Taylor R S. Problem dimensions and information traits[J]. The Information Society, 1984, 3(1)91-111.
[16] Foster A. A nonlinear model of information-seeking behavior[J]. Journal of the American Society for Information Science and Technology, 2004, 55(3):228-237.
[17] 库恩. 心理学导论: 思想与行为的认识之路[M]. 郑纲, 译.北京: 中国轻工业出版社, 2008:327-397.
[18] Spink A. Study of interactive feedback during mediated information retrieval[J]. Journal of the American Society for Information Science, 1997, 48(5): 382-394.
[19] Hung P W, Johnson S B, Kaufman D R. A multi-level model of information seeking in the clinical domain[J]. Journal of Biomedical Informatics, 2008, 41(2):357-370.
[20] 乔欢. 信息行为学[M]. 北京: 北京师范大学出版社, 2010:10-11.
[21] Schmidt J B, Spreng R A. A proposed model of external consumer information search[J]. Academy of Marketing Science, 1996, 24(3):246-256.
[22] Huang Chun-Yao, Chiang I P. Characterizing Web users' online information behavior[J]. Journal of the American Society for Information Science and Technology, 2007, 58(13):1988-1997.
[23] 陈向明. 社会科学中的定性研究方法[J]. 中国社会科学, 1996(6):93-102.
[24] Chi M T H. Quantifying qualitative analyses of verbal data: A practical guide[J]. The Journal of the Learning Sciences, 1997, 6(3):271-315.
[25] Goh C C M. How ESL learners with different listening abilities use comprehension strategies and tactics [J].Language Teaching Research, 1998, 2(2):124-147.
[26] Marquer J, Pereira M. Reaction times in the study of strategies in sentence-picture verification:A reconsideration[J]. The Quarterly Journal of Experimental Psychology Section A, 1Study on Web Browsing Behaviors and Cognitive Influential Factors Based on Three-dimensional Model990, 42(1):147-168.
[27] Canter D, Rivers R, Storrs G. Characterizing user navigation through complex data structures[J]. Behaviour and Information Technology, 1985, 4(2):93-102.
[28] Clark L, Ting I H, Kimble C, et al. Combining ethnographic and clickstream data to identify user Web browsing strategies[J]. Information Research, 2006, 11(2):249-273.
/
〈 | 〉 |