-
Wildemuth, B.M.; Jacob, E.K.; Fullington, A.;; Bliek, R. de; Friedman, C.P.: ¬A detailed analysis of end-user search behaviours (1991)
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- Imprint
- Medford : Learned Information Inc.
-
Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015)
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- Date
- 25. 1.2016 18:46:22
- Source
- Information processing and management. 51(2015) no.5, S.557-569
-
Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000)
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- Source
- Library and information science research. 22(2000) no.4, S.371-382
-
Spink, A.; Goodrum, A.; Robins, D.: Elicitation behavior during mediated information retrieval (1998)
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- Source
- Information processing and management. 34(1998) nos.2/3, S.257-273
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Kim, K.-S.: Effects of emotion control and task on Web searching behavior (2008)
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- Source
- Information processing and management. 44(2008) no.1, S.373-385
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Whitmire, E.: ¬The relationship between undergraduates' epistemological beliefs, reflective judgment, and their information-seeking behavior (2004)
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- Information processing and management. 40(2004) no.1, S.97-111
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Ford, N.; Miller, D.; Moss, N.: Web search strategies and retrieval effectiveness : an empirical study (2002)
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- Abstract
- This paper reports the results of a study funded by the Arts and Humanities Research Board which sought to investigate links between Web search strategies and retrieval effectiveness. A total of 68 students, enrolled on masters programmes in librarianship, information management and information systems, searched for two topics using the AltaVista search engine. Logs of the resultant 341 queries, along with relevance judgements for over 4,000 retrieved items, were analysed using factor analysis and regression. The differing but complementary types and strengths of evidence produced by these two forms of analysis are discussed and presented. Retrieval effectiveness was associated positively with best-match searching and negatively with Boolean searching. The implications of these findings for Web searching are discussed.
-
Spink, A.; Park, M.; Koshman, S.: Factors affecting assigned information problem ordering during Web search : an exploratory study (2006)
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- Source
- Information processing and management. 42(2006) no.5, S.1366-1378
-
Jansen, B.J.; Booth, D.L.; Spink, A.: Determining the informational, navigational, and transactional intent of Web queries (2008)
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- Information processing and management. 44(2008) no.3, S.1251-1266
-
Zhang, Y.: ¬The influence of mental models on undergraduate students' searching behavior on the Web (2008)
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- Information processing and management. 44(2008) no.3, S.1330-1345
-
Byström, K.: Information seekers in context : an analysis of the 'doer' in INSU studies (1999)
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- Date
- 22. 3.2002 9:55:52
-
Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014)
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- Date
- 26. 1.2014 18:48:22
-
Topi, H.; Lucas, W.: Mix and match : combining terms and operators for successful Web searches (2005)
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- Information processing and management. 41(2005) no.4, S.801-817
-
White, R.W.; Jose, J.M.; Ruthven, I.: ¬A task-oriented study on the influencing effects of query-biased summarisation in web searching (2003)
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- Information processing and management. 39(2003) no.5, S.689-706
-
Vuong, T.; Saastamoinen, M.; Jacucci, G.; Ruotsalo, T.: Understanding user behavior in naturalistic information search tasks (2019)
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- Abstract
- Understanding users' search behavior has largely relied on the information available from search engine logs, which provide limited information about the contextual factors affecting users' behavior. Consequently, questions such as how users' intentions, task goals, and substances of the users' tasks affect search behavior, as well as what triggers information needs, remain largely unanswered. We report an experiment in which naturalistic information search behavior was captured by analyzing 24/7 continuous recordings of information on participants' computer screens. Written task diaries describing the participants' tasks were collected and used as real-life task contexts for further categorization. All search tasks were extracted and classified under various task categories according to users' intentions, task goals, and substances of the tasks. We investigated the effect of different task categories on three behavioral factors: search efforts, content-triggers, and application context. Our results suggest four findings: (i) Search activity is integrally associated with the users' creative processes. The content users have seen prior to searching more often triggers search, and is used as a query, within creative tasks. (ii) Searching within intellectual and creative tasks is more time-intensive, while search activity occurring as a part of daily routine tasks is associated with more frequent searching within a search task. (iii) Searching is more often induced from utility applications in tasks demanding a degree of intellectual effort. (iv) Users' leisure information-seeking activity is occurring inherently within social media services or comes from social communication platforms. The implications of our findings for information access and management systems are discussed.
-
Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999)
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- Date
- 22. 3.2002 9:54:13
