The Role of Information Search Experience, Domain Knowledge, and User Language on Information Search Stopping Behaviour

Honarjouyan, Zohreh and Mirzabeigi, Mahdieh The Role of Information Search Experience, Domain Knowledge, and User Language on Information Search Stopping Behaviour. Academic Librarianship and Information Research, 2024, vol. 58, n. 4, pp. 1-23. [Journal article (Paginated)]

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English abstract

Objective: This study aims to examine the impact of information search experience, domain knowledge, and user language proficiency on the information search stopping behavior among graduate students at Shiraz University. Method: This research is fundamental in nature and employs a quantitative methodology. The sample consisted of 80 graduate students from Shiraz University, selected based on criteria used in similar studies. Participants completed two simple and two complex search tasks in both Persian and English using the Google search engine. Their search activities were recorded using Camtasia software. The participants' level of search experience was assessed through a questionnaire adapted from Ghasemi’s (2007) information literacy questionnaire. After the content validity of the instrument was confirmed, its reliability was assessed using Cronbach's alpha, yielding a value of 0.75. Based on the scores obtained from this questionnaire, participants were categorized into three experience levels: low, moderate, and high. Participants' domain knowledge was also classified into two levels: “lacking or minimal knowledge” and “moderate or high knowledge.” By repeatedly reviewing the recorded sessions, the information search stopping behavior was identified for each task, distinguishing between good stops (stopping after finding an answer) and bad stops (stopping due to failure to find an answer). Data analysis was conducted using independent samples t-tests, one-way ANOVA, and the Mann-Whitney U test in SPSS software. Results: The findings indicated that as users' domain knowledge increased, the frequency of good stops significantly rose. Additionally, significant differences were observed in the types of search stops among users with different levels of search experience. Post-hoc tests revealed that higher search experience was associated with an increased rate of good stops. Finally, a higher average rank for stopping behavior in Persian-language searches suggests a greater occurrence of good stops when searching in Persian. Conclusions: Considering the influence of search experience, user language, and domain knowledge on the information search stopping behavior, it is recommended to implement measures such as: conducting workshops on information search skills and techniques; incorporating user language factors into personalized recommendation system models; utilizing interlingual retrieval systems; and personalizing information retrieval systems to suggest queries and deliver results tailored to users' knowledge levels.

Item type: Journal article (Paginated)
Keywords: stopping information search, information search experience, domain knowledge, user’s language, user’s native language
Subjects: C. Users, literacy and reading. > CE. Literacy.
C. Users, literacy and reading. > CZ. None of these, but in this section.
Depositing user: Maliheh Dorkhosh
Date deposited: 18 Jul 2025 08:51
Last modified: 18 Jul 2025 08:51
URI: http://hdl.handle.net/10760/47011

References

Abugabah, A. (2014). User characteristics of information systems: Do they really matter?. Journal of Information & Systems Management, 14(3), 95-104.

Allen, B. (1991). Topic knowledge and online catalog search formulation. The Library Quarterly, 61(2), 188-213. http://doi.org/10.1086/602333

Al-Maskari, A., & Sanderson, M. (2011). The effect of user characteristics on search effectiveness in information retrieval. Information Processing & Management, 47(5), 719-729. https://doi.org/10.1016/j.ipm.2011.03.002

Azzopardi, L., Kelly, D., & Brennan, K. (2013, July). How query cost affects search behavior. In Proceedings of the 36th international ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 23-32). https://doi.org/10.1145/2484028.2484049

Bell, D. J., & Ruthven, I. (2004, April). Searcher’s assessments of task complexity for web searching. In European conference on information retrieval (pp. 57-71). Berlin, Heidelberg: Springer Berlin Heidelberg.

Borlund, P. (2003). The IIR evaluation model: A framework for evaluation of interactive information retrieval systems. Information Research, 8(3), Paper 152. https://informationr.net/ir/8-3/paper152.html

Brand‐Gruwel, S., Kammerer, Y., Van Meeuwen, L., & Van Gog, T. (2017). Source evaluation of domain experts and novices during Web search. Journal of Computer Assisted Learning, 33(3), 234-251. http://doi.org/10.1111/jcal.12162

Brennan, K., Kelly, D., & Arguello, J. (2014, August). The effect of cognitive abilities on information search for tasks of varying levels of complexity. In proceedings of the 5th information interaction in context symposium (pp. 165-174).

Browne, G. J., Pitts, M. G., & Wetherbe, J. C. (2007). Cognitive stopping rules for terminating information search in online tasks. MIS Quarterly, 89-104.

Browne, G. J., & Walden, E. A. (2013, June). Stopping Information Search: A NeuroIS Investigation. In proceedings of Gmunden Retreat on NeuroIS (p. 12).

Busemeyer, J. R., & Rapoport, A. (1988). Psychological models of deferred decision making. Journal of Mathematical Psychology, 32(2), 91-134.

Cacioppo, J., & Petty, R. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116–131.

Chang, Y. S. (2022). eHealth literacy and information search behaviors: An experimental study (Doctoral dissertation). University of Texas.

Chevalier, A., Maury, A. C., & Fouquereau, N. (2014). The influence of the search complexity and the familiarity with the website on the subjective appraisal of aesthetics, mental effort and usability. Behaviour & Information Technology, 33(2), 117-132.

Chu, P., Jozsa, E., Komlodi, A., & Hercegfi, K. (2012, August). An exploratory study on search behavior in different languages. In Proceedings of the 4th Information Interaction in Context Symposium (pp. 318-321).

Collins, A. M., & Quillian, M. R. (1969). Retrieval time from semantic memory. Journal of Verbal Learning and Verbal Behavior, 8(2), 240-247.

Crescenzi, A. M. C. (2019). Adaptation in information search and decision-making under time pressure (Doctoral dissertation, The University of North Carolina at Chapel Hill).

Crescenzi, A., Kelly, D., & Azzopardi, L. (2015, August). Time pressure and system delays in information search. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 767-770).

Crescenzi, A., Capra, R., & Arguello, J. (2017, March). Time limits, information search and the use of search assistance. In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (pp. 349-352).

Crescenzi, A., Capra, R., Choi, B., & Li, Y. (2021, March). Adaptation in information search and decision-making under time constraints. In Proceedings of the 2021 conference on human information interaction and retrieval (pp. 95-105).

Dedema & Liu, C. (2019). Examination of online information search stopping behaviors and stopping rules by task type. Proceedings of the Association for Information. Science and Technology, 56(1), 631-633.

Dinet, J., Chevalier, A., & Tricot, A. (2012). Information search activity: An overview. European Review of Applied Psychology, 62(2), 49-62

Dommes, A., Chevalier, A., & Lia, S. (2011). The role of cognitive flexibility and vocabulary abilities of younger and older users in searching for information on the web. Applied Cognitive Psychology, 25(5), 717-726.

Dostert, M. (2011). Does domain knowledge influence search stopping behavior?. Proceedings of the American Society for Information Science and Technology, 48(1), 1-2.

Erdelez, J. L. M. S., & He, W. (2007). The search experience variable in information behavior research. Journal of the American Society for Information Science and Technology, 58(10), 1529-1546.

Gerhart, N. (2018). Generalizing stopping rule research: Development of scales. Journal of Computer Information Systems. 60(1), 93-100.

Gudimani, M. C., & Krishnamurthy, C. (2019). Comparative Analysis of Information Seeking Behaviour of Research Scholars of Kannada University Hampi and Vijayanagara Sri Krishnadevaraya University, Ballary. International Journal of Library and Information Studies, 9(2).

Haley, A. N., & Clough, P. (2017). Affective experiences of international and home students during the information search process. New Review of Academic Librarianship, 23(4), 396-420.

Hansen, P., Karlgren, J. (2005). Effects of foreign language and task scenario on relevance assessment. Journal of Documentation, 61(5), 623-639.

Harvey, M., & Brazier, D. (2022). E-government information search by English-as-a Second Language speakers: The effects of language proficiency and document reading level. Information Processing & Management, 59(4), 102985.

Hemmer, E. (2013). Information seeking stopping behavior in online scenarios: the impact of task, technology and individual characteristics. PL: Frankfurt.

Honarjooyan, Z., Mirzabeigi, M., Sotudeh, H., & Jowkar, T. (2023). Stopping Information Search: A Systematic Review. Librarianship and Information Organization Studies, 33(4), 17-37. (In Persian)

Hong, H., & Kim, H. J. (2020). Antecedents and consequences of information overload in the COVID-19 pandemic. International Journal of Environmental Research and Public Health, (24), 17. https://doi.org/10.3390/ijerph17249305

Hu, X., & Kando, N. (2017). Task complexity and difficulty in music information retrieval. Journal of the Association for Information Science and Technology, 68(7), 1711-1723. https://doi.org/10.1002/asi.23803

Hu, R., Lu, K., & Joo, S. (2013). Effects of topic familiarity and search skills on query reformulation behavior. Proceedings of the American Society for Information Science and Technology, 50(1), 1-9.

Jenkins, C., Corritore, C. L., & Wiedenbeck, S. (2003). Patterns of information seeking on the Web: A qualitative study of domain expertise and Web expertise. IT & society, 1(3), 64-89.

Kantor, P. B. (1987). A model for the stopping behavior of users of online systems. Journal of the American Society for Information Science, 38(3), 211-214. https://doi.org/10.1002/(SICI)1097-4571(198705)38:3%3C211::AID-ASI10%3E3.0.CO;2-U

Kim, H., & Hirtle, S. C. (1995). Spatial metaphors and disorientation in hypertext browsing. Behaviour & Information Technology, 14(4), 239-250.

Kinley, K., Tjondronegoro, D., Partridge, H., & Edwards, S. (2012). Relationship between the nature of the search task types and query reformulation behaviour. In Proceedings of the Seventeenth Australasian Document Computing Symposium. New York, NY: ACM. 39-46.

Kogut, C. A. (1990). Consumer search behavior and sunk costs. Journal of Economic Behavior & Organization, 14(3), 381-392.

Köhler, J. (2020). Seeking employment in a non-native language. The International Journal of Information, Diversity, & Inclusion, 4(2), 108-115.

Kralisch, A., & Berendt, B. (2005). Language-sensitive search behaviour and the role of domain knowledge. New Review of Hypermedia and Multimedia, 11(2), 221-246.

Lebedeva, N. (2020). The impact of task type and domain expertise on information searching behaviours in a full text digital library (Doctoral dissertation, University of British Columbia).

Liu, C., & Wei, Y. (2016). The impacts of time constraint on users' search strategy during search process. Proceedings of the Association for Information Science and Technology, 53(1), 1-9.

Liu, J., & Zhang, X. (2019). The role of domain knowledge in document selection from search results. Journal of the Association for Information Science and Technology, 70(11), 1236-1247.

Liu, C., Zhang, X., & Huang, W. (2016). The exploration of objective task difficulty and domain knowledge effects on users' query formulation. Proceedings of the Association for Information Science and Technology, 53(1), 1-9.

Liu, J. (2021). Deconstructing search tasks in interactive information retrieval: A systematic review of task dimensions and predictors. Information Processing & Management, 58(3), 102522.

Mao, J., Liu, Y., Kando, N., Zhang, M., & Ma, S. (2018). How does domain expertise affect users’ search interaction and outcome in exploratory search?. ACM Transactions on Information Systems (TOIS), 36(4), 1-30.

Marchionini, G. (1995). Information Seeking in Electronic Environments (Cambridge Series on Human-Computer Interaction). Cambridge University Press.

Maxwell, D. M. (2019). Modelling search and stopping in interactive information retrieval (Doctoral dissertation, University of Glasgow).

Moazami, M., Hariri, N., Zarei, A., Babalhavaeji, F. (2019). Presenting the Dimensions and Components of Information-Search and Retrieval Behavior by multilingual web users. Library and Information Science and Information Technology, 12(47), 52-68. (In Persian)

Mokhtari, H., Davarpanah, M. R., Dayyani, M. H., & Ahanchian, M. R. (2013). Students' need for cognition affects their information seeking behavior. New library world, 114(11/12), 542-549.

Monchaux, S., Amadieu, F., Chevalier, A., & Mariné, C. (2015). Query strategies during information searching: Effects of prior domain knowledge and complexity of the information problems to be solved. Information Processing & Management, 51(5), 557-569.

Nahl, D. (2004). Measuring the affective information environment of web searchers. Proceedings of the American society for information science and technology, 41(1), 191-197.

Neshat, N. (2006). The role of language in representing semantics. Informology, 14(2), 119-130. (In Persian)

Nickles, K. R., Curely, S. P., & Benson, P, G. (1995). Judgment-based and reasoning-based stopping rules in decision making under uncertainty. Working Paper. Wake Forest University, October.

Norouzi, Y. (2019). Context and Meaning in Information Retrieval: Emphasis on Mother Tongue. Iranian Journal of Information Processing and Management, 35(1), 1-24. (In Persian)

Nwabueze, N. O., Emuchay, B. N., & Ogaraku, D. N. (2022). Information search skills as predictors of library and information science students’ use of online information resources in university of Benin, Edo State, Nigeria. Journal of Applied Information Science and Technology, 15(2), 30-36.

Okhovati, M., Sharifpoor, E., Aazami, M., Zolala, F., & Hamzehzadeh, M. (2017). Novice and experienced users’ search performance and satisfaction with Web of Science and Scopus. Journal of Librarianship and Information Science, 49(4), 359-367.

Ong, K., Järvelin, K., Sanderson, M., & Scholer, F. (2017, August). Using information scent to understand mobile and desktop web search behavior. In Proceedings of the 40th international ACM SIGIR conference on research and development in information retrieval (pp. 295-304).

Oyedokun, T. T., Laaro, M. D., Ambali, Z. O., & Adesina, O. (2023). Correlation analysis of the relationship between demographic variables, computer self-efficacy, and information-seeking behavior of Nigerian University students. Acta Infologica, 7(2), 267-280.

Park, J., & Kim, J. (2000, April). Effects of contextual navigation aids on browsing diverse Web systems. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 257-264).

Parsaei, E., Mirzabeigi, M., & Sotudeh, H., (2022). Identifying the factors affecting query formulation: a systematic review. Librarianship and Information Organization Studies, 33(2): 37-53. (In Persian)

Pitz, G. F., Reinhold, H., & Geller, E. S. (1969). Strategies of information seeking in deferred decision making. Organizational Behavior and Human Performance, 4(1), 1-19.

Reisoğlu, İ., Çebi, A., & Bahçekapılı, T. (2019). Online information searching behaviours: examining the impact of task complexity, information searching experience, and cognitive style. Interactive Learning Environments, 30(3), 417-434.

Rózsa, G., Komlodi, A., & Chu, P. (2015, May). Online searching in english as a foreign language. In Proceedings of the 24th International Conference on World Wide Web (pp. 875-880).

Saeedizadeh M, Sanatjoo A, & Nokarizi M. (2016). The Impact of the Objective Complexity and Product of Work Task on Interactive Information Searching Behavior. Human Information Interaction, 2(1), 21-34. (In Persian)

Salimifar, Z., & Riahinia, N. (2015). The Relationship between Self-efficacy Beliefs and User's Skills for Searching in Persian and English Databases. Librarianship and Information Organization Studies, 26(2), 127-140. (In Persian)

Sanchiz, M., Chin, J., Chevalier, A., Fu, W. T., Amadieu, F., & He, J. (2017). Searching for information on the web: Impact of cognitive aging, prior domain knowledge and complexity of the search problems. Information Processing & Management, 53(1), 281-294.

Scaria, A. T., Philip, R. M., West, R., & Leskovec, J. (2014, February). The last click: Why users give up information network navigation. In Proceedings of the 7th ACM international conference on Web search and data mining (pp. 213-222).

Scells, H., Zuccon, G., & Koopman, B. (2021). A comparison of automatic Boolean query formulation for systematic reviews. Information Retrieval Journal, 24, 3-28.

Schmitt, J. B., Debbelt, C. A., & Schneider, F. M. (2018). Too much information? Predictors of information overload in the context of online news exposure. Information, Communication & Society, 21(8), 1151-1167.

Schur, E. (2002). Density and Complexity in the Semantic Networks of Native and Non-Native Speakers. In Second Language Vocabulary Acquisition Colloquium, Leiden, The Netherlands.

Shen, X., Helion, C., Smith, D. V., & Murty, V. P. (2024). Motivation as a Lens for Understanding Information-seeking Behaviors. Journal of Cognitive Neuroscience, 36(2), 362-376.

Sihvonen, A., & Vakkari, P. (2004). Subject knowledge improves interactive query expansion assisted by a thesaurus. Journal of Documentation, 60(6), 673-690.

Steffensen, M. S., Joag-Dev, C., & Anderson, R. C. (1979). A cross-cultural perspective on reading comprehension. Reading research quarterly, 10-29.

Stigler, G. J. (1961). The economics of information. Journal of political economy, 69(3), 213-225.

Sutcliffe, A. G., Ennis, M., & Watkinson, S. J. (2000). Empirical studies of end‐user information searching. Journal of the American society for information science, 51(13), 1211-1231.

Tabatabai, D., & Shore, B. M. (2005). How experts and novices search the Web. Library & information science research, 27(2), 222-248.

Taheri, A., Yousefianzadeh, O., & Saeedizadeh, M. (2023). The effects of work task difficulty on health information searching behaviour. Malaysian Journal of Library and Information Science, 28(1), 51-68.

Tamine, L., & Chouquet, C. (2017). On the impact of domain expertise on query formulation, relevance assessment and retrieval performance in clinical settings. Information Processing & Management, 53(2), 332-350.

Usher, E. L., & Pajares, F. (2006). Sources of academic and self-regulatory efficacy beliefs of entering middle school students. Contemporary Educational Psychology, 31, 125-141.

von der Trenck, A., Neben, T., & Heinzl, A. (2014). The impact of self-determination on the information-stopping behavior of professionals: An exploratory study in the software industry. ACIS

Walhout, J., Oomen, P., Jarodzka, H., & Brand‐Gruwel, S. (2017). Effects of task complexity on online search behavior of adolescents. Journal of the Association for Information Science and Technology, 68(6), 1449-1461.

Wu, W. C. (2014). How far will you go? Characterizing online search stopping behaviors using information scent and need for cognition. PhD Thesis. The University of North Carolina at Chapel Hill.

Wu, W. C., & Kelly, D. (2014). Online search stopping behaviors: An investigation of query abandonment and task stopping. Proceedings of the American Society for Information Science and Technology, 51(1), 1-10.

Wu, W. C., Kelly, D., & Sud, A. (2014, July). Using information scent and need for cognition to understand online search behavior. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval (pp. 557-566).

Yilma, T. M., Inthiran, A., Reidpath, D. D., & Orimaye, S. O. (2019). Context-Based Interactive Health Information Searching. Information Research, 24(2), Paper 815. https://informationr.net/ir/24-2/paper815.html

Zhang, Y. (2012). The impact of task complexity on people’s mental models of MedlinePlus. Information Processing & Management, 48(1), 107-119.

Zhang, Y. (2015). A new model of information seeking stopping behavior (Doctoral dissertation, University of Texas, Austin). Retrieved October 27, 2024, from http://hdl.handle.net/2152/32367

Zhang, X., Anghelescu, H. G., & Yuan, X. (2005). Domain knowledge, search behaviour, and search effectiveness of engineering and science students: An exploratory study. Information Research: An International Electronic Journal, 10(2), Paper 217. https://informationr.net/ir/10-2/paper217.html


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