Volume 9, Issue 2 (9-2022)                   Human Information Interaction 2022, 9(2): 1-11 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Abbasi Dashtaki N, Shabani A. Rereading the Bystrom and Jarvelin's Information Seeking Behavior Model: Can the Scope of this Model Be Criticized?. Human Information Interaction 2022; 9 (2)
URL: http://hii.khu.ac.ir/article-1-3005-en.html
university of Isfahan
Abstract:   (1445 Views)
Background and aim: Information seeking behaviors are the reflection of users' needs that Identifying and understanding them correctly is imperative in information seeking endeavors. Experts have presented cognitive and Process user-oriented approach models to better understand scholars’ information seeking behaviors.  The intent of models are to define and clarify the conditions that predict people's actions to gain information.  As a result of different understanding of information behavior, the study was directed with the intention that Bystrom and Jarvelin's model emphasizes on which concept of this behavior and its measure of Criticism.
Method: Library method was used to study and analyze the Bystrom and Jarvelin's Information Seeking Behavior Model   
Findings: The findings showed that the task complexity, uncertainty, and ambiguity of concepts were related, so it could establish a strong place in the establishment of models.
 With the task complexity, the need for knowledgeable people rises. Thus, the setting of resources is significant. Also, as complexity increases, more resources and more time are required to perform the search.
Conclusion: The task complexity is an important variable in the information seeking process.  Consequently, the requirement for the type of information, number, and location of resources arises thus determines the type of information and resources used. Result of which is the increase of collaboration of knowledgeable people as source of information. Thus, information systems are facilitating information counseling of individuals. They are active in this field and could be considered a supplement source of information. Therefore, it is proper to focus more on this aspect of information resources in information systems. Since the task complexity has played a key role in the Bystrom and Jarvelin's model, this notion can be placed next to situational, personal, and organizational factors and may be considered as one of the imperative factors in the information quest, it will thus be a suitable measure for this model.
 
Full-Text [PDF 560 kb]   (289 Downloads)    
Type of Study: Research | Subject: Special

References
1. Aghili, O. (2018). Journalists information seeking and behavior on social media. Thesis for the de-gree of doctor, college of science, engineering and health, department of philosophy, RMIT Univer-sity.
2. Azami, M. & Fatahi, S.R. (2010). Database Graph-ic User Interface correspondence with Ellis In-formation Seeking behavior Model. Iranian Re-search Institute for Information Science and Technology, 25 (2), 247-264. (Persian).
3. Babaie, M. (1999). Information needs assessment. Tehran: journal information documentation. (Persian).
4. Bahreyni, N., Mmirzabeigi, M. & Sotudeh, H. (2015). Investigating the effect of the level of complexity of work tasks on the performance of users' review search in interaction with the web. Library and Information Sciences, 18(4), 99-122. (Persian).
5. Bhattacharjee, S. & Kumar Sinha, M. (2016). Models of Information Seeking Behavior: An Overview. Asian Journal of Multidisciplinary Studies, 4 (5), 266-268. [DOI:10.2139/ssrn.2761872]
6. Bystrom, K. (1999). Task Complexity, Infor-mation Types and Information Sources: Exami-nation of Relationships. Academic dissertation. Faculty of Social Sciences, University of Tampe-re.
7. Bystrom, K. (2002). Information and information sources in tasks of varying complexity. Journal of the American Society for information Science and Technology, 53(7), 581-591. [DOI:10.1002/asi.10064]
8. Bystrom, K., & Jarvelin, K. (1995). Task complexi-ty affects information seeking and use. Infor-mation processing & management, 31(2), 191-213. [DOI:10.1016/0306-4573(95)80035-R]
9. Case, D.O. (2014). Looking for information: a sur-vey of research on information seeking, needs, and behavior. Translated by Bigdeli, Z., Shahini, SH., Khademian. R., & Taherzadeh Mosavian, S. Ahvaz: Shahid Chamran University of Ahvaz publications. (Translated).
10. Choi, B., & Arguello, J. (2020). A Qualitative Anal-ysis of the Effects of Task Complexity on the Functional Role of Information. In Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, 328-332. [DOI:10.1145/3343413.3377992]
11. Choi, B., Ward, A., Li, Y., Arguello, J., & Capra, R. (2019). The effects of task complexity on the use of different types of information in a search as-sistance tool. ACM Transactions on Information Systems (TOIS), 38(1), 1-28. [DOI:10.1145/3371707]
12. Davarpanah, M.R. (2007). Scientific communica-tion: information need and information behav-ior. Tehran: Dabizesh. (Persian).
13. Kim, K.-S. (2001). Information-seeking on the Web. Library & Information Science Research, 23(3), 233-255. [DOI:10.1016/S0740-8188(01)00081-0]
14. Kundu, D. K. (2017). Models of information seek-ing behaviour: A comparative study. Interna-tional Journal of Library and Information Stud-ies, 7 (4), 393-405. [DOI:10.2139/ssrn.4289303]
15. Li, Y., Chen, Y., Liu, J., Cheng, Y., Wang, X., Chen, P., & Wang, Q. (2011). Measuring task complexi-ty in information search from user's perspective. Proceedings of the American Society for Infor-mation Science and Technology, 48(1), 1-8. [DOI:10.1002/meet.2011.14504801092]
16. Liu, P., & Li, Z. (2012). Task complexity: A review and conceptualization framework. International Journal of Industrial Ergonomics, 42(6), 553-568. [DOI:10.1016/j.ergon.2012.09.001]
17. Saastamoinen, M., & Jarvelin, K. (2018). Relation-ships between work task types, complexity and dwell time of information resources. Journal of Information Science, 44(2), 265-284. [DOI:10.1177/0165551516687726]
18. Saastamoinen, M., Kumpulainen, S., & Jarvelin, K. (2012). Task complexity and information search-ing in administrative tasks revisited. In Proceed-ings of the 4th Information Interaction in Con-text Symposium (pp. 204-213). [DOI:10.1145/2362724.2362759]
19. Saastamoinen, M., Kumpulainen, S., Vakkari, P., & Jarvelin, K. (2013). Task complexity affects information use: a questionnaire study in city administration. Information Research, 19 (4), [592].
20. Saeedizadeh, M., Taheri, A. & Sanatjoo A. (2016). Information Interaction Criteria among Students in Process of Task-Based Information Searching (Role of Objective Complexity and Type of Product). Iranian Research Institute for Infor-mation Science and Technology, 31 (4), 931-952. (Persian).
21. Wang, Y. (2018). Task-based Information Seeking in Different Study Settings. In Proceedings of the 2018 Conference on Human Information Inter-action & Retrieval, 363-365. [DOI:10.1145/3176349.3176351]
22. Wilson, T.D. (2000). Human information behavior. Informing Science, 3 (2), 49-55 [DOI:10.28945/576]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Human Information Interaction

Designed & Developed by : Yektaweb