Volume 7, Issue 3 (12-2020)
Human Information Interaction 2020, 7(3): 78-94 |
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ghayouri Z, abam Z. Analysis of the dimensions of the use of search tactics with emphasis on user characteristics and simulated search tasks based on the Anderson and Crasswell classification scheme. Human Information Interaction 2020; 7 (3)
URL: http://hii.khu.ac.ir/article-1-2954-en.html
URL: http://hii.khu.ac.ir/article-1-2954-en.html
alzahra university
Abstract: (3047 Views)
Purpose: The purpose of this study is to identify the frequency and time spent in the use of search tactics and the effect of user characteristics and type of search task on the use of search tactics.
Methodology: A quantitative approach based on data obtained from Morayeh software used. Sample was 35 post graduate and graduate students majoring in humanities and engineering in Tehran. Four search tasks and scenarios designed based on Anderson and Crasswell classification provided as guidelines. Data were extracted from Morayeh software, that included the frequency and time spent using search tactics, effect of user characteristics and search task type. Data analyzed by ANOVA.
Findings: The results showed that there was no significant difference between individual characteristics and the frequency and time elapsed for search tactics. However, female students spent more time using search tactics than male students, and despite the significant difference between degree and frequency and time spent searching, they used more tactics than senior students. Equally post graduates, spend more time than graduates in the search process. This is due to their familiarity with the search process and proficiency in searching with fewer tactics and achieving appropriate and less tactical results. Also, humanities students have spent more time in the search process than engineering students. This is probably owed to the greater search skills of technical and engineering students than humanities students. The effect of search task type on frequency and time spent in the present study shows a significant effect of task type on search process - frequency and time spent using search tactics.
Results: Considering the limited number of studies in search tactics application, the findings will be beneficial in clarifying the trends in the search process and identification of the frequency and duration of user application tactics. Identification of high-frequency tactics and large quantity of time searcher spends, information system support for the use of search tactics is suggested.
Methodology: A quantitative approach based on data obtained from Morayeh software used. Sample was 35 post graduate and graduate students majoring in humanities and engineering in Tehran. Four search tasks and scenarios designed based on Anderson and Crasswell classification provided as guidelines. Data were extracted from Morayeh software, that included the frequency and time spent using search tactics, effect of user characteristics and search task type. Data analyzed by ANOVA.
Findings: The results showed that there was no significant difference between individual characteristics and the frequency and time elapsed for search tactics. However, female students spent more time using search tactics than male students, and despite the significant difference between degree and frequency and time spent searching, they used more tactics than senior students. Equally post graduates, spend more time than graduates in the search process. This is due to their familiarity with the search process and proficiency in searching with fewer tactics and achieving appropriate and less tactical results. Also, humanities students have spent more time in the search process than engineering students. This is probably owed to the greater search skills of technical and engineering students than humanities students. The effect of search task type on frequency and time spent in the present study shows a significant effect of task type on search process - frequency and time spent using search tactics.
Results: Considering the limited number of studies in search tactics application, the findings will be beneficial in clarifying the trends in the search process and identification of the frequency and duration of user application tactics. Identification of high-frequency tactics and large quantity of time searcher spends, information system support for the use of search tactics is suggested.
Keywords: Search Tactics, User Features, Simulated Search Tasks, Anderson & Crasswell Classification Scheme, Information System Support.
References
1. Al-Maskari, Azzah; Sanderson, Mark(2011).The effect of user characteristics on search effectiveness in information retrieval. Information Processing and Management.47.719-729. [DOI:10.1016/j.ipm.2011.03.002]
2. Arguello, Jaime(2014). Predicting Search Task Difficulty. In Proceedings of the 36th European Conference in Information Retrieval (ECIR'14). [DOI:10.1007/978-3-319-06028-6_8]
3. Asadi, Maryam (2015). The Impact of Cognitive Styles, Task Types and the Experience on User's Web Search Performance. National Studies on Librarianship and Information Organization, 26(3), 39-63.
4. Bates, J.M. (1979), "Information search tactics", Journal of the American Society for Information Science, Vol. 30 (4), 205-14. [DOI:10.1002/asi.4630300406]
5. Brennan, Kathy; Kelly, Diane; Arguello, Jaime (2014). The effect of cognitive abilities on information search for tasks of varying levels of complexity. Proceedings of the 5th Information Interaction in Context Symposium.165-174. [DOI:10.1145/2637002.2637022]
6. Borlund, P. (2000). Experimental components for the evaluation of interactive information retrieval systems. Journal of Documentation, 56(1): 71-79. [DOI:10.1108/EUM0000000007110]
7. Borlund, P. (2016). A study of the use of simulated work task situations in interactive information retrieval evaluations: A meta-evaluation. Journal of Documentation. 72(3), 394-413. [DOI:10.1108/JD-06-2015-0068]
8. Campbell, D. J. (1988). Task complexity: A review and analysis. Academy of Management Review, 13(1), 40-52. [DOI:10.2307/258353]
9. Capra,Robert ; Arguello, Jaime; Zhang, Yinglong) 2017(. The effects of search task determinability on search behavior. In Proceedings of the ECIR. Springer, 108-121. [DOI:10.1007/978-3-319-56608-5_9]
10. 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 satisfaction. Behaviour & Information Technology, 33(2), 116-131. [DOI:10.1080/0144929X.2013.819936]
11. Chevalier, Aline; Dommes,Aurélie; Marquié,Jean-Claude(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. [DOI:10.1016/j.chb.2015.07.017]
12. Chu,Samuel Kai-Wah; Law , Nancy (2007). Development of Information Search Expertise: Postgraduates' Knowledge of Searching Skills. Portal Libraries and the Academy. 7(3):295-316. [DOI:10.1353/pla.2007.0028]
13. Computers & Education.90 . 54-63. journal homepage: www.elsevier.com/locate/compedu.
14. Czaja, Sara J.;Sharit, Joseph; Ownby, Raymond; Roth, David L. & Nair, Sankaran(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] [PMID]
15. Choi, Bogeum; Ward, Austin; Li, Yuan; Arguello, Jaime & Capra, Robert(2019). The Effects of Task Complexity on the Use of Different Types of Information in a Search Assistance Tool. ACM Trans. Inf. Syst. 38, 1. [DOI:10.1145/3371707]
16. Choi, Bogeum; Capra, Robert; Arguello, Jaime(2019). The Effects of Working Memory during Search Tasks of Varying Complexity. CHIIR '19, March 10-14, 2019, Glasgow, Scotland Uk.
https://doi.org/10.1145/3295750.3298948 [DOI:10.1145/3295750.3298948.]
17. Demiraslan Çevik, Yasemin (2015). Predicting college students' online information searching strategies based on epistemological, motivational, decisionrelated, and demographic variables. [DOI:10.1016/j.compedu.2015.09.002]
18. 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, 717-726. [DOI:10.1002/acp.1743]
19. Goodale, Paula ; Clough, Paul ; Fernando, Samuel; Ford, Nigel (2014).Cognitive Styles within an Exploratory Search System for Digital Libraries. Journal of Documentation. 70(6):970-996. [DOI:10.1108/JD-03-2014-0045]
20. 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]
21. Hendahewa,Chathra; Shah, Chirag(2015). Implicit search feature based approach to assist users in exploratory search tasks. Information Processing and Management . 51.643-661. [DOI:10.1016/j.ipm.2015.06.004]
22. Hung, Tsai.-Youn. (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.
23. Kelly, D. (2009). Methods for evaluating interactive information retrieval systems with users. Foundations and Trends in Information Retrieval, 3(1-2), 1-232. [DOI:10.1561/1500000012]
24. Kelly, Diane; Arguello, Jaime; Edwards, Ashlee &Wu,Wan-ching (2015). Development and evaluation of search tasks for IIR experiments using a cognitive complexity framework. In Proceedings of the ICTIR. ACM, 101-110. [DOI:10.1145/2808194.2809465]
25. Kheshtzar, K., Mirzabeigi, M. (2019). The Impact of Experience, Gender and Task Complexity on the Disorientation Level of Graduate Students at Shiraz University in Browsing. National Studies on Librarianship and Information Organization, 29(4), 63-76.
26. Kim, J. (2006). Task as a predictable indicator of informatioWeb. Unpublished dissertation, Rutgers University.
27. Kim, K.-S., & Allen, B. (2002). Cognitive and task influences on web searching behavior. Journal of the American Society for Information Science and Technology, 53(2), 109-119. [DOI:10.1002/asi.10014]
28. Li, Yuelin(2008). Relationships among work tasks, search tasks, and interactive information searching behavior.. Doctor Dissertation. The State University of New Jersey.
29. Liew, C.L. (2011). Help with health information on the web. The Electronic Library, 29, 621-636. [DOI:10.1108/02640471111177062]
30. Liu, Jingjing; Liu, Chang; Gwizdka, Jacek; Belkin, Nicholas J. (200). Can search systems detect users' task difficulty? Some behavioral signals. Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval.
31. Liu, Peng ; Li, Zhizhong (2012).Task complexity: a review and conceptualization framework. International Journal of Industrial Ergonomics. 42: 553-568. [DOI:10.1016/j.ergon.2012.09.001]
32. Lugli, Laura; Ragni, Matteo; Piccardi, Laura& Nori, Raffaella(2017).Hypermedia navigation: Differences between spatial cognitive styles. Computers in Human Behavior.66.191-2000. [DOI:10.1016/j.chb.2016.09.038]
33. Marchionini, G. (1989). Information seeking strategies of novices using a full-text electronic encyclopedia. Journal of the American Society for Information Science.40. 54 - 66.
https://doi.org/10.1002/(SICI)1097-4571(198901)40:1<54::AID-ASI6>3.0.CO;2-R [DOI:10.1002/(SICI)1097-4571(198901)40:13.0.CO;2-R]
34. Nadkarni, P M (2011). An introduction to information retrieval: applications in genomics. Pharmacogenomics J. PMC3137130.
35. Niu, Xi; Kelly, Diane (2014). The use of query suggestions during information search. Information Processing and Management. 50.218-234. [DOI:10.1016/j.ipm.2013.09.002]
36. Qiu, L. (1993). Analytical searching vs. browsing in hypertex information retrieval systems. Canadian Journal of Information and Library Science, 18(4), 1-13.
37. Robert Capra, Jaime Arguello, and Yinglong Zhang) 2017(. The effects of search task determinability on search behavior. In Proceedings of the ECIR. Springer, 108-121. [DOI:10.1007/978-3-319-56608-5_9]
38. Robins, David(2000). Interactive Information Retrieval: Contxt and basic notions. Special Issue on information research.vol3(2). [DOI:10.28945/577]
39. Ruttera, Sophie; Blinzlerb, Verena; Yec, Chaoyu; Wilsonc, Max L.& Twidalec, Michael D.(2019). Search tactics used in solving everyday how-to technical tasks:Repertoire, selection and tenacity. Information Processing and Management.56. 919-938. [DOI:10.1016/j.ipm.2019.02.008]
40. Saastamoinen, M., & Järvelin, K. (2017). Relationships between work task types, complexity and dwelltime of information resources. Journal of Information Science,44(2),265-284. [DOI:10.1177/0165551516687726]
41. Saeedizadeh, Marziye (2014). The Effect of Objective Complexity, Subjective Complexity and Product Type of Work Tasks on Interactive Information Searching Behavior of Masters Students at Ferdowsi University of Mashhad. master thesis. Faculty of Education and Psychology, Ferdowsi University of Mashhad.
42. Shiri, A. A., & Revie, C. (2003). The effects of topic complexity and familiarity on cognitive and physical moves in a thesaurus-enhanced search environment. Journal of Information Science, 29(6), 517-526. [DOI:10.1177/0165551503296008]
43. Smith, Alastair G. (2012). Internet search tactics. Online Information Review. Vol. 36 No. 1. pp. 7-20. [DOI:10.1108/14684521211219481]
44. Urgo, Kelsey; Arguello, Jaime; Capra, Rob(2019). Anderson and Krathwohl's Two-Dimensional Taxonomy Applied to Task Creation and Learning Assessment. [DOI:10.1145/3341981.3344226]
45. Vakkari, Pertti; Pennanen, Mikko; Serola, Sami (2003).Changes of search terms and tactics while writing a research proposal: A longitudinal case study. Information Processing and Management. 39 (2003). 445-463. [DOI:10.1016/S0306-4573(02)00031-6]
46. Wildemuth, Barbara 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, 2004. [DOI:10.1002/asi.10367]
47. Xie,Iris; Joo, Soohyung(2010). Transitions in Search Tactics During the Web-Based Search Process. Journal of the American Society for Information Science and technology, 61(11):2188-2205. [DOI:10.1002/asi.21391]
48. Xie,Iris; Joo, Soohyung; Bennett-kapusniak,Renee(2016).User involvement and system support in applying search tactics. Journl of the association for information science and technology. [DOI:10.1002/asi.23765]
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