Paradigm Shift in the Studies on the Interactive Information Retrieval: A Scientometric Study at the Web of Science

پژوهشنامه کتابداری و اطلاع رسانی

Article 3, Volume 10, Issue 2 - Serial Number 20, March 2021, Pages 50-71   

Document Type: Research Article

DOI: 10.22067/infosci.2021.23144.0

Authors

zeinab ghayouri^{* 1}; Zoya Abam²; Azam Sanatjoo³

¹ُStudent\ Alzahra University, Tehran, Iran

²Associate Professor\ Alzahra University, Tehran, Iran

³َAssosiate Professor\ Ferdowsi University of Mashhad, Mashhad, Iran

Abstract

Introduction: The purpose of this study was to investigate the change in the approach of interactive information retrieval studies from the decade 1990 to 2020 and drawing the co-word map based on the articles indexed in the Web of Science. 
Methodology: The research has been done by a quantitative method, scientometric indicators and social network analysis. 10.294 sources were identified by searching the interactive information retrieval in the Web of Science database. Finally, 154 articles in the category of library and information science were analyzed. There was no specific timeframe for the search and data were retrieved from 1990 to 2020. SPSS and VOSviewer software package were used for data analysis.
Findings: The research findings indicated that since 2001, the scientific production of this field has started to grow and in 2016 reached the maximum number of articles, In fact, this growth trend peaked in 2015, 2016, 2017 and 2018. Also, Pia Borland, Iris Xie and Amanda Spink are highly-cited authors in the field of interactive information retrieval. Most of the studied literature focused on information behavior issues, attention to individual user differences, search process, search strategies, search function and information system design, query expansion and relevance. The paradigm shift of studies has from user attention, relevance feedback, and consequentialism to attention to the search process and related topics such as attention to individual differences in users, search strategies, search performance, search process, and query reformulation. In other words, focus of interactive information retrieval studies has changed from the outcome of search to search process and what happens in the search session. The findings of Ward's hierarchical clustering also resulted in the formation of three clusters, including "web search", "information seeking behavior" and "human-machine interaction". 
Conclusion: Investigating the content of information sources produced in the field of interactive information retrieval helps identify scientific production trends and change paradigm studies in this field.

Keywords

interactive information retrieval; co-word; change paradigm; web of science

References

ابراهیم‌زاده، صنم؛ رضایی شریف‌آبادی،‌ سعید؛ کربلایی آقایی‌کامران، معصومه (1398). بررسی وضعیت علمی و ترسیم نقشه هم‌رخدادی واژگان حوزه رفتار اطلاع‌یابی مشارکتی بر اساس مقالات نمایه شده در پایگاه وب علوم. پژوهش‌نامه علم‌سنجی، 5(1). 184-202. https://www.sid.ir/fa/journal/ViewPaper.aspx?id=483101

اکبری، مرتضی؛ دلبری راغب، فاطمه؛ ذوالفقاری، عاطفه؛ کلانکی، ابوالفضل؛ رازی، سمیرا (1394). ترسیم نقشه دانش کارآفرینی بر مبنای مقالات علمی و پژوهشی در ایران. مدیریت فرهنگ سازمانی، 13(4). 1091-1112.

حاصلی، داود؛ فهیم‌نیا، فاطمه؛ نقشینه، نادر؛ عطاپور، هاشم؛ حسینی بهشتی، ملوک السادات (1398). مرور نظامند پژوهش‌های حوزه گسترش پرس‌وجو در زبان فارسی. پژوهشنامه کتابداری و اطلاع‌رسانی، 9(1)، 201-220.

سهیلی،‌ فرامرز؛ شعبانی، علی؛ خاصه،‌ علی‌اکبر (1394). ساختار فکری دانش در حوزه رفتار اطلاعاتی: مطالعه هم واژگانی. تعامل انسان و اطلاعات، 2(4). 21-36.

شکفته،‌ مریم؛ حریری، ‌نجلا (1392). ترسیم و تحلیل نقشه علمی پزشکی ایران با استفاده از روش هم‌استنادی موضوعی و معیارهای تحلیل شبکه اجتماعی. مدیریت سلامت، 16(51). 43-59.

صدیقی، مهری (1393). بررسی کاربرد روش تحلیل هم‌رخدادی واژگان در ترسیم ساختار حوزه‌های علمی (مطالعه موردی: حوزه اطلاع‌سنجی). پژوهشنامه پردازش و مدیریت اطلاعات،30 (2). 373-396.

 

Al-Maskari, A., Sanderson, M. (2011).The effect of user characteristics on search effectiveness in information retrieval. Information Processing and Management.47.719-729.

Arguello, J. (2014). Predicting Search Task Difficulty. In Proceedings of the 36th European Conference in Information Retrieval (ECIR'14).

Borlund, P.(2013). Interactive Information Retrieval: An Introduction. J. of infosci. theory and practice. 1(3). 12-32.

Callon,M., Law, J. and Rip, A. (Eds.). 1986. Mapping the dynamics of science and technology: Sociology of sience in the real world. London: The Macmillan Press 1, td.

Chu, S., Law, N.(2007). Development of Information Search Expertise: Postgraduates’ Knowledge of Searching Skills. portal: Libraries and the Academy, Vol. 7, No. 3. pp. 295–316.

Chevalier, A, Dommes,A, Marquié, J. (2015). Strategy and accuracy during information search on the Web: Effects of age and complexity of the search questions. Computers in Human Behavior. 53. 305–315. journal homepage: www.elsevier.com/locate/comphumbeh.

Croft, B.(2019). The Importance of Interaction in Information Retrieval. Information Retrieval (SIGIR 2019). https://doi.org/10.1145/3331184.3331185

Czaja, S. J., Sharit, J., Ownby, R., Roth, L. and Nair, S.(2001). Examining Age Differences in Performance of a Complex Information Search and Retrieval Task. Psychology and Aging.16(4).564-579. DOI: 10.1037/0882-7974.16.4.564

Demiraslan Çevik, Y. (2015). Predicting college students’ online information searching strategies based on epistemological, motivational, decisionrelated, and demographic variables.Computers & Education.90 . 54-63. journal homepage: www.elsevier.com/locate/compedu. https://doi.org/10.1016/j.compedu.2015.09.002

Ding, Y., Chowdhury, G. G., and Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information processing & management, 37(6), 817-842. https://doi.org/10.1016/S0306-4573(00)00051-0

Gwizdka, J., & Spence, I. (2006). What can searching behavior tell us about the difficulty of information tasks? A study of web navigation. Proceedings of Annual Meeting of ASIST 2006, Nov. 3-8, Austin, TX. DOI:10.1002/meet.14504301167

Hung, T. (2005). Search moves and tactics for image retrieval in the field of journalism: A pilot study. Journal of Educational Media & Library Science,42(3), 329–346. http://www.fed.cuhk.edu.hk/ceric/jemls/200500420003/0329.htm

Joo, S.(2013). Investigating User Search Tactic Patterns and System Support in Using Digital Libraries. phd thesis. University of Wisconsin Milwaukee. https://dc.uwm.edu/etd/360/

Joo, S., Xie, I.(2012) Exploring Search Tactic Patterns in Searching Digital Libraries. In: Chen HH., Chowdhury G. (eds) The Outreach of Digital Libraries: A Globalized Resource Network. ICADL 2012. Lecture Notes in Computer Science, vol 7634. Springer, Berlin, Heidelberg. https://link.springer.com/chapter/10.1007%2F978-3-642-34752-8_48.

Kelly, D. (2009). Methods for evaluating interactive information retrieval systems with users. Foundations and Trends in Information Retrieval, 3(1-2), 1–232. https://dl.acm.org/doi/10.1561/1500000012.

Kim, J. (2006). Task as a predictable indicator of information Web. Unpublished dissertation, Rutgers University.

Kules, B., Shneiderman, B.(2008). Users can change their web search tactics: Design guidelines for categorized overviews. Information Processing and Management. 44. 463–484. https://doi.org/10.1016/j.ipm.2007.07.014.

Liu, Y., Goncalves, J., Ferreira, D., Xiao, B., Hosio,S., and Kostakos, V. (2014). CHI 1994-2013:Mapping two decades of intellectual progress through co-word analysis. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (pp. 3553-3562). ACM. https://doi.org/10.1145/2556288.2556969.

Robins, D. (2000). Interactive Information Retrieval: Context and basic notions. Special Issue on information research.vol3(2). https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.21.3085&rep=rep1&type=pdf.

Rorissa, A., Yuan, X. (2012).Visualizing and mapping the intellectual structure of information retrieval. Information Processing and Management .48 . 120–135. https://doi.org/10.1016/j.ipm.2011.03.004.

Saastamoinen, M., and Järvelin, K. (2017). Relationships between work task types, complexity and dwelltime of information resources. Journal of Information Science,44(2),265–284. https://doi.org/10.1177/0165551516687726.

Savolainen, R.(2016),"Information seeking and searching strategies as plans and patterns of action: a conceptual. analysis", Journal of Documentation, Vol. 72 Iss 6. https://doi.org/10.1108/JD-03-2016-0033.

Sugimoto,C., Mccain, K.(2010). Visualizing changes over time: A history of information retrieval through the lens of descriptor tri-occurrence mapping. Journal of Information Science. 36(4):481-493. 10.1177/0165551510369992.

Wang, L.Y., Zhang, Z.Q., and Wei, J.Z. (2011). A study on foreign research subjects of library and information science based on the co-word analysis during the last ten years. Journal of intelligence, 30(3), 50-58. https://link.springer.com/article/10.1007/s11192-013-1076-7

Wildemuth, B. M. (2004). The effects of domain knowledge on search tactic formulation. Journal of the American Society for Information Science and Technology. 55(3),246–258. https://doi.org/10.1002/asi.10367.

Wildemuth, B.M. and Freund, L. (2012). Assigning search tasks designed to elicit exploratory search behaviors. Paper presented at the Sixth Symposium on Human-Computer Interaction and Information Retrieval (HCIR), October 4-5, 2012, Cambridge, MA. http://dx.doi.org/10.1145/2391224.2391228.

Zhang, Y. (2012). The Impact of task complexity on people’s mental models of medlineplus. Information Processing & Management,48(1),107-119. https://doi.org/10.1016/j.ipm.2011.02.007.