As the driving force of users' information seeking, task is the main factor affecting information seeking. Based on introducing the research status of task concepts and types, this paper proposes a task framework for information seeking behavior, that is internal basic characteristics of task include objectives, paths and outcomes. Then it extracts complex characteristics of task such as complexity, structural, etc. External characteristics of task emphasize on influences of performer characteristics of prior knowledge and cognition needs. Integrating internal and external task characteristics, this paper determines the type of task, explores the relationship between task and information seeking behavior. Finally, it proposes main research issues based on the task framework.
Sun Li
,
Sun Li
,
Sun Li
,
Cao Jindan
,
Cao Jindan
,
Cao Jindan
. Construction for Tasks Conceptual Framework in the Information Seeking Behavior Research[J]. Library and Information Service, 2014
, 58(02)
: 47
-52
.
DOI: 10.13266/j.issn.0252-3116.2014.02.007
[1] Taylor R. Information use environments[M]//Dervin B,Voigt M J.Progress in Communication Sciences.Norwood: Ablex, 1991:217-255.
[2] Thompson R L, Higgins C A, Howell J M. Influence of experience on personal computer utilization:Testing a conceptual model[J]. Journal of Management Information Systems, 1994, 11(1): 167-187.
[3] Tricot A, Golanski C. Towards a description of information seeking tasks contributing to the design of communications objects and services[M]//Kintzig C,Poulain G, Privat G,et al. Communicating with Smart Objects. Developing Technology for Usable Pervasive Computing Systems. London: Kogan, 2003:257-272.
[4] 李晓鹏, 雷银枝, 张晨. 信息任务及其绩效分析[J]. 图书情报工作,2009,53(14):110-114.
[5] Bystrm K. Information and information sources in tasks of varying complexity[J]. Journal of the American Society for Information Science and Technology, 2002, 53(7):581-591.
[6] Broder A. A taxonomy of Web search[J]. ACM SIGIR Forum, 2002, 36(2): 2-10.
[7] Kellar M, Watters C, Shepherd M. A field study characterizing Web-based information-seeking tasks[J]. Journal of the American Society for Information Science and Technology, 2007, 58(7): 999-1018.
[8] Kim S, Soergel D. Selecting and measuring task characteristics as independent variables[C]//Proceedings of the American Society for Information Science and Technology. New York: Wiley, 2005:1-16.
[9] Xie Hong Iris. Dimensions of tasks:Influences on information-seeking and retrieving process[J]. Journal of Documentation, 2009, 65(3):339-366.
[10] Li Yuelin. Exploring the relationships between work task and search task in information search[J]. Journal of the American Society for Information Science and Technology, 2009, 60(2):275-291.
[11] Campbell D. Task complexity: A review and analysis[J]. Academy of Management Review, 1988,13(1):40-52.
[12] Zhang Yan, Wang Peiling, Heaton A, et al. Health information searching behavior in MedlinePlus and the impact of tasks[C]//Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. New York: ACM, 2012: 28-30.
[13] Toms E G, O'Brien H, Mackenzie T, et al. Task effects in interactive search: The query factor[C]//Focused Access to XML Documents: 6th International Workshop of the Initiative for the Evaluation of XML Retrieval. Berlin: Springer, 2007:359-372.
[14] Lee U, Liu Zhenyu, Cho J. Automatic identification of user goals in Web search[C]//Proceedings of the 14th international conference on World Wide Web (WWW 2005). New York: ACM, 2005:391-400.
[15] Liu Jingjing, Cole M J, Liu Chang, et al. Search behaviors in different task types[C]//Proceedings of the 10th annual joint conference on Digital libraries (JCDL'10). New York: ACM, 2010: 69-78.
[16] Preece J, Rogers Y, Sharp H. Interaction design: Beyond human-computer interaction[M].3rd ed.New York: Wiley, 2011:101-126.
[17] Bystrm K. Conceptual framework for tasks in information studies[J]. Journal of the American Society for Information Science and Technology, 2005, 56(10):1050-1061.
[18] White R W, Dumais S T, Teevan J. Characterizing the influence of domain expertise on Web search behavior[C]//Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM '09). New York: ACM, 2009:132-141.
[19] Crystal A, Kalyanaraman S S. Need for cognition influences user behavior and attitudes on an information-seeking task[EB/OL].[2013-10-25].http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.58.4903&rep=rep1&type=pdf.
[20] Pillai K G, Hofacker C. Calibration of consumer knowledge of the Web[J]. Journal of Research in Marketing, 2007, 24(3): 254-267.
[21] Kerstetter D,Cho M-H. Prior knowledge, credibility and information search[J]. Annals of Tourism Research, 2004,31(4): 961-985.
[22] Cacioppo J T, Petty R E. The need for cognition[J]. Journal of Personality and Social Psychology, 1982, 42(1):116-131.
[23] Duggan G B, Payne S J. Knowledge in the head and on the Web: Using topic expertise to aid search[C]//Proceedings of the SIGCHI (Special Interest Group on Computer-Human Interaction) Conference on Human Factors in Computing Systems (CHI'08). New York: ACM, 2008: 39-48.
[24] Kammerer Y, Nairn R, Pirolli P, et al. Signpost from the masses:Learning effects in an exploratory social tag search browser[C]//Proceedings of the SIGCHI (Special Interest Group on Computer-Human Interaction) Conference on Human Factors in Computing Systems (CHI'09). New York: ACM,2009: 625-634.
[25] Cole M J, Zhang Xiangmin, Liu Jinging, et al. Are self-assessments reliable indicators of topic knowledge?[C]//Proceedings of the American Society for Information Science & Technology 2010. New York: Wiley, 2010:1-10.
[26] Kelly D. Measuring online information-seeking context, part 1: Background and method[J]. Journal of the American Society for Information Science & Technology, 2006, 57(13):1729-1739.
[27] Toms E, Freund L, Kopak R. The effect of task domain on search[C]//Proceedings of the 2003 Conference of the Centre for Advanced Studies on Collaborative Research. New York:ACM,2003:303-312.
