图书情报工作

图书情报工作 >

2024 , Vol. 68 >Issue 8: 63 - 79

DOI: https://doi.org/10.13266/j.issn.0252-3116.2024.08.006

情报研究

多元属性任务与用户网络健康信息源选择偏好研究

  • 章小童 ,
  • 李月琳 ,
  • 辛然 ,
  • 柯佳秀
展开
  • 1 西南大学商贸学院 重庆 402460;
    2 南开大学信息行为科学研究中心 天津 300071;
    3 南开大学商学院信息资源管理系 天津 300071;
    4 南开大学医学院 天津 300071;
    5 电子科技大学图书馆 成都 611731
章小童,讲师,博士;辛然,硕士研究生;柯佳秀,馆员,硕士。

收稿日期: 2023-10-07

  修回日期: 2024-01-17

  网络出版日期: 2024-05-17

基金资助

本文系重庆市社会科学规划项目(博士项目)“基于用户交互的高质量网络健康信息获取路径及其影响因素研究”(项目编号:2022BS031)研究成果之一。

收起

Exploring the Relationships Between Multi-Attribute Task and Users' Preference of Online Health Information Source Selection

  • Zhang Xiaotong ,
  • Li Yuelin ,
  • Xin Ran ,
  • Ke Jiaxiu
Expand
  • 1 Business College of Southwest University, Chongqing 402460;
    2 Research Center for Information Behavior, Nankai University, Tianjin 300071;
    3 Department of Information Resource Management, Business School, Nankai University, Tianjin 300071;
    4 School of Medicine, Nankai University, Tianjin 300071;
    5 Library of University of Electronic Science and Science and Technology of China, Chengdu 611731

Received date: 2023-10-07

  Revised date: 2024-01-17

  Online published: 2024-05-17

Supported by

This work is supported by the Chongqing Social Science Planning Project (Doctoral Project)"Research on the high-quality online health information acquisition path and its influencing factors based on user interaction"(Grant No.2022BS031).

Fold

摘要

[目的/意义] 探究多元属性任务情境下用户网络健康信息源选择偏好规律，可为健康信息行为研究提供更多洞见，也是对用户健康心理、健康行为与决策等问题的关切，可促进健康信息系统个性化、智能化服务的优化设计，进而帮助用户高效获取健康信息、解决健康问题、提高生活质量，助力“健康中国2030”的实现。[方法/过程] 采用实验研究方法和模拟仿真工作任务情境，招募64名参与者参与实验，通过卡方检验和对应分析法分析实验数据，揭示了多元属性任务情境下用户网络健康信息源选择偏好特征。[结果/结论] 在线问答社区、在线健康社区、社交媒体、百科类、专业数据库等排名前5的信息源构成用户网络健康信息的主要来源，这些平台应成为网络健康信息综合治理的聚焦对象；由任务复杂度、任务产出类型、健康话题等分面属性组合而成的任务类型对用户网络健康信息源的偏好有显著影响，即用户在进行不同类型健康任务的信息搜索时，对不同信息源的偏好不同；基于多元属性任务类型与信息源类型的对应关系，构建面向智能化健康信息系统个性化设计的任务类型—网络健康信息源选择偏好模型。

关键词： 网络健康信息; 信息源选择偏好; 多元属性任务; 健康信息搜索

本文引用格式

章小童 , 李月琳 , 辛然 , 柯佳秀 . 多元属性任务与用户网络健康信息源选择偏好研究[J]. 图书情报工作, 2024 , 68(8) : 63 -79 . DOI: 10.13266/j.issn.0252-3116.2024.08.006

Abstract

[Purpose/Significant] It is important to explore the preference of users' online health information selection in the context of multi-attribute tasks to understand user's health psychology,health behavior and decision-making,and to provide more insights for the health information behavior.This study can promote the personalized and intelligent service design of health information system,and help users efficiently obtain health information,solve health problem and improve life quality,and contribute to the implementation of national strategy of "Healthy China 2030".[Method/Process] The study recruited 64 participants in the experiment.Through Chi-square test and correspondence analysis of experimental and simulated data,it demonstrated the characteristics of users' online health information selection preference in the multi-attribute task.[Result/Conclusion] (1) Users mostly select the top 5 information sources,including online question&answer community,online health community,social media,encyclopedia and professional database.These health information platforms/sources should be the focus of comprehensive management.(2) The strength of correlation between the task types,which combined with different attributes,including task complexity,product and health topic,and different online health information sources are significantly different.Users have different preferences for different information sources with different task.(3) Based on the relationships between task types and information sources,a task type-online health information source selection preference model is developed for optimizing the design of health information system.

Key words： online health information; information source selection preference; multi-attribute task; health information searching

参考文献

[1] Internet Usage Statistics. Population and telecom reports[EB/OL].(2022-06-30)[2024-03-01]. https://www.internetworldstats.com/stats.htm.
[2] 中国互联网络信息中心.第52次中国互联网络发展状况统计报告[EB/OL].(2023-08-28)[2024-03-01]. https://cnnic.cn/NMediaFile/2023/0908/MAIN1694151810549M3LV0UWOAV.pdf. (CHINA INTERNET NETWORK INFORMATION CENTER. The 52th statistical report on China's internet development[EB/OL].(2023-08-28)[2024-03-01]. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202108/P020210827326243065642.pdf.)
[3] PRESTIN A, VIEUX S N, CHOU W S. Is online health activity alive and well or flatlining?Findings from 10 years of the health information national trends survey[J]. Journal of health communication, 2015, 20(7):790-798.
[4] 罗晓兰.网络健康信息搜索对健康焦虑的影响机制研究:搜索后认知与行为的中介作用[D].上海:上海财经大学, 2019.(LUO X L, Study on the influence mechanism of online health information seeking on health anxiety:the mediating role of post-search cognition and behavior[D]. Shanghai:Shanghai University of Finance and Economics, 2019.)
[5] 科普中国.中国网民科普需求搜索行为报告(2019年第一季度)[EB/OL].(2019-12-09)[2024-03-01]. https://www.crsp.org.cn/cms_files/filemanager/zgkps/uploads/soft/1912/7-19122G55257.pdf. (CHINA SCIENCE COMMUNICATION. Report on the demand for science popularization and search behavior of Chinese Internet users (First quarter of 2019)[EB/OL].(2019-12-09)[2024-03-01]. https://www.crsp.org.cn/cms_files/filemanager/zgkps/uploads/soft/1912/7-19122G55257.pdf)
[6] 邓胜利,付少雄,刘瑾.任务情境下青年人网络健康信息资源选择的群体差异研究[J].图书情报工作, 2017, 61(22):98-106.(DENG S L, FU S X, LIU J. Group differences of online health information resources selection among young people in different task contexts[J]. Library and information service, 2017, 61(22):98-106.)
[7] KEALEY E, BERKMAN C S. The relationship between health information sources and mental models of cancer:findings from the 2005 health information national trends survey[J]. Journal of health communication, 2010, 15(S3), 236-251.
[8] ZHANG Y, SUN Y, KIM Y. The influence of individual differences on consumer's selection of online sources for health information[J]. Computers in human behavior, 2017(67):303-312.
[9] KIM S. An exploratory study of inactive health information seekers[J]. International journal of medical informatics, 2015, 84(2):119-133.
[10] TOMS G E. Task-based information searching and retrieval[M]//RUTHVEN I, KELLY D. Interactive information seeking behavior and retrieval. London:Facet Publishing, 2011:43-59.
[11] TOMS E, FREUND L, KOPAK R, et al. The effect of task domain on search[C]//Conference of the center for advanced studies on collaborative research. IBM Press, 2003:303-312.
[12] BYSTRÖM K, JÄRVELIN K. Task complexity affects information seeking and use[J]. Information processing and management, 1995, 31(2):191-213.
[13] ZHANG Y. The impact of task complexity on people's mental models of MedlinePlus[J]. Information processing and management, 2012, 48(1):107-119.
[14] KIM J. Describing and predicting information-seeking behavior on the Web[J]. Journal of the American Society for Information Science and Technology, 2009, 60(4):679-693.
[15] HONG W, THONG J, TAM K Y. How do Web users respond to non-banner-ads animation?The effects of task type and user experience[J]. Journal of the American Society for Information Science and Technology, 2014, 58(10):1467-1482.
[16] LI Y, BELKIN N J. A faceted approach to conceptualizing tasks in information seeking[J]. Information processing and management, 2008, 44(6):1822-1837.
[17] LIU J. Deconstructing search tasks in interactive information retrieval:a systematic review of task dimensions and predictors[J]. Information processing and management, 2021, 58(3):102522.
[18] CHI Y, HE D, JENG W. Laypeople's source selection in online health information-seeking process[J]. Journal of the Association for Information Science and Technology, 2020, 71(12):1484-1499.
[19] SONG X, LIU C, ZHANG Y. Chinese college students'source selection and use in searching for health-related information online[J]. Information processing and management, 2021, 58(3):102489.
[20] EYSENBACH, G. How do consumers search for and appraise health information on the world wide web?Qualitative study using focus groups, usability tests, and in-depth interviews[J]. BMJ, 2002, 324(7337):573-577.
[21] SILLENCE E, BRIGGS P, FISHWICK L, et al. Trust and mistrust of online health sites[C]//Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 2004:663-670.
[22] EFTHIMIADIS E N. How students search for consumer health information on the Web[C]//Proceedings of the 42nd Hawaii international conference on system sciences. ACM, 2009:1-8.
[23] WALDMAN L, AHMED T, SCOTT N, et al. We have the internet in our hands:Bangladeshi college students'use of ICTs for health information[J]. Globalization and health, 2018, 14(1):1-6.
[24] CHOUDHURY M D, MORRIS M R, WHITE R W. Seeking and sharing health information online:comparing search engines and social media[C]//Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 2014:1365-1376.
[25] 宋小康,赵宇翔,宋士杰,等.互联网环境下我国健康信息替代搜寻者特征及其行为模式研究[J].图书情报工作, 2020, 64(22):107-117.(SONG X K, ZHAO Y X, SONG S J, et al. Research on the characteristics and behavior patterns of surrogate health information seekers in China under the Internet environment[J]. Library and information service, 2020, 64(22):107-117.)
[26] KIM K S, SIN S C J. Selecting quality sources:bridging the gap between the perception and use of information sources[J]. Journal of information science, 2011, 37(2):178-188.
[27] XIE I, JOO S. Selection of information sources:accessibility of and familiarity with sources, and types of tasks[J]. Proceedings of the American Society for Information Science and Technology, 2015, 46(1):1-18.
[28] 宋筱璇,刘畅.学习型搜索中用户信息源选择和使用策略研究[J].情报学报, 2019, 38(6):655-666.(SONG X X, LIU C. Exploring users'information source selection and use strategies in learning related search[J]. Journal of the China Society for Scientific and Technical Information, 2019, 38(6):655-666.)
[29] ZHANG Y. Beyond quality and accessibility:source selection in consumer health information searching[J]. Journal of the American Society for Information Science and Technology, 2014, 65(5):911-927.
[30] CHEN Y, ZHAO Y, WANG Z. Understanding online health information consumers'search as a learning process:search platform sequences, query reformulation and conceptual changes[J]. Library hi tech, 2020, 38(4):859-881.
[31] BORLUND P. Experimental components for the evaluation of interactive information retrieval systems[J]. Journal of documentation, 2000, 56(1):71-90.
[32] BORLUND P, INGWERSEN P. The development of a method for the evaluation of interactive information retrieval systems[J]. Journal of documentation, 1997, 53(3):225-250.
[33] BORLUND P, SCHNEIDER J W. Reconsideration of the simulated work task situation:a context instrument for evaluation of information retrieval interaction[C]//Proceedings of the third symposium on information interaction in context. ACM, 2010:155-164.
[34] LI Y, HU D. Interactive retrieval using simulated versus real work task situations:differences in sub-facets of tasks and interaction performance[J]. Proceedings of the American Society for Information Science and Technology, 2013, 50(1):1-10.
[35] LI Y. Exploring the relationships between work task and search task in information search[J]. Journal of the Association for Information Science and Technology, 2009, 60(2):275-291.
[36] LI Y, YUAN X, CHE R. An investigation of task characteristics and users'evaluation of interaction design in different online health information systems[J]. Information processing and management, 2021, 58(3):102476.
[37] 唐晓波,李津.在线健康社区信息需求主题分析[J].数字图书馆论坛, 2019(2):12-17.(TANG X B, LI J. Analysis on the topic and sentiment of information needs in online health community[J]. Digital library forum, 2019(2):12-17.)
[38] 盛姝,黄奇,郑姝雅,等.在线健康社区中用户画像及主题特征分布下信息需求研究——以医享网结直肠癌圈数据为例[J].情报学报, 2021, 40(3):308-320.(SHENG S, HUANG Q, ZHENG S Y, et al. Study of user information requirements in an online health community based on the distribution of user profile and theme features:taking colorectal cancer data from YiXiang as an example[J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(3):308-320.)
[39] KELLY D. Methods for evaluating interactive information retrieval systems with users[J]. Foundations and trends in information retrieval, 2009, 3(1/2):1-224.
[40] 张文彤,董伟. SPSS统计分析高级教程(第三版)[M].北京:高等教育出版社, 2018:278-279.(ZHANG W T, DONG W. Advanced tutorial of SPSS statistical analysis (3rd edition)[M]. Beijing:Higher Education Press, 2018:278-279.)
[41] 张文彤,董伟. SPSS统计分析高级教程(第三版)[M].北京:高等教育出版社, 2018:265-284.(ZHANG W T, DONG W. Advanced tutorial of SPSS statistical analysis (3rd edition)[M]. Beijing:Higher Education Press, 2018:265-284.)
[42] 周晓英.网络健康信息综合治理的方向和重点[J].国家治理, 2018(47):45-49.(ZHOU X. The direction and focus of comprehensive governance of online health information[J]. Governance, 2018(47):45-49.)
[43] ANDERSON M J. A comparative analysis of information search and evaluation behavior of professional and non-professional financial analysts[J]. Accounting, organizations and society, 1988, 13(5):431-446.
[44] AGARWAL N K, XU Y, POO D C C. A context-based investigation into source use by information seekers[J]. Journal of the American Society for Information Science and Technology, 2011, 62(6):1087-1104.
[45] LAN W. Self-monitoring and its relationship with educational level and task importance[J]. Educational psychology, 2005, 25(1):109-127.
[46] LI Y, BELKIN N J. An exploration of the relationships between work task and interactive information search behavior[J]. Journal of the American Society for Information Science and Technology, 2010, 61(9):1771-1789.
Options
文章导航

/

〈 〉