Search (35 results, page 2 of 2)

Belkin, N.J.: ¬An overview of results from Rutgers' investigations of interactive information retrieval (1998) 0.01

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Date: 22. 9.1997 19:16:05

Byström, K.: Information seekers in context : an analysis of the 'doer' in INSU studies (1999) 0.01

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Date: 22. 3.2002 9:55:52

Wildemuth, B.M.: Effective methods for studying information seeking and use : Introduction and overview (2002) 0.01

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Date: 20. 1.2003 9:37:22

Su, L.T.: ¬A comprehensive and systematic model of user evaluation of Web search engines : Il. An evaluation by undergraduates (2003) 0.01

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Date: 24. 1.2004 18:27:22

Aula, A.; Nordhausen, K.: Modeling successful performance in Web searching (2006) 0.01
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Abstract

Several previous studies have measured differences in the information search success of novices and experts. However, the definitions of novices and experts have varied greatly between the studies, and so have the measures used for search success. Instead of dividing the searchers into different groups based on their expertise, we chose to model search success with task completion speed, TCS. Towards this goal, 22 participants performed three fact-finding tasks and two broader tasks in an observational user study. In our model, there were two variables related to the Web experience of the participants. Other variables included, for example, the speed of query iteration, the length of the queries, the proportion of precise queries, and the speed of evaluating result documents. Our results showed that the variables related to Web experience had expected effects on TCS. The increase in the years of Web use was related to improvement in TCS in the broader tasks, whereas the less frequent Web use was related to a decrease in TCS in the fact-finding tasks. Other variables having significant effects on TCS in either of the task types were the speed of composing queries, the average number of query terms per query, the proportion of precise queries, and the participants' own evaluation of their search skills. In addition to the statistical models, we present several qualitative findings of the participants' search strategies. These results give valuable insight into the successful strategies in Web search beyond the previous knowledge of the expert-novice differences.

Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006) 0.01

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Date: 22. 7.2006 16:32:43

Westman, S.; Laine-Hernandez, M.; Oittinen, P.: Development and evaluation of a multifaceted magazine image categorization model (2011) 0.01

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Date: 22. 1.2011 14:09:26

Mizrachi, D.; Bates, M.J.: Undergraduates' personal academic information management and the consideration of time and task-urgency (2013) 0.01
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Abstract

Young undergraduate college students are often described as "digital natives," presumed to prefer living and working in completely digital information environments. In reality, their world is part-paper/part-digital, in constant transition among successive forms of digital storage and communication devices. Studying for a degree is the daily work of these young people, and effective management of paper and digital academic materials and resources contributes crucially to their success in life. Students must also constantly manage their work against deadlines to meet their course and university requirements. This study, following the "Personal Information Management" (PIM) paradigm, examines student academic information management under these various constraints and pressures. A total of 41 18- to 22-year-old students were interviewed and observed regarding the content, structure, and uses of their immediate working environment within their dormitory rooms. Students exhibited remarkable creativity and variety in the mixture of automated and manual resources and devices used to support their academic work. The demands of a yearlong procession of assignments, papers, projects, and examinations increase the importance of time management activities and influence much of their behavior. Results provide insights on student use of various kinds of information technology and their overall planning and management of information associated with their studies.

Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.01

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Date: 26. 1.2014 18:48:22

Beaudoin, J.E.: Content-based image retrieval methods and professional image users (2016) 0.01

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Date: 22. 1.2016 12:32:25

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) 0.01

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Date: 25. 1.2016 18:46:22

Coles, C.: Information seeking behaviour of public library users : use and non-use of electronic media (1999) 0.01

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Date: 22. 3.2002 8:51:28

Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999) 0.01

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Date: 22. 3.2002 9:54:13

Borgman, C.L.; Smart, L.J.; Millwood, K.A.; Finley, J.R.; Champeny, L.; Gilliland, A.J.; Leazer, G.H.: Comparing faculty information seeking in teaching and research : implications for the design of digital libraries (2005) 0.01

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Date: 3. 6.2005 20:40:22

Griesbaum, J.; Mahrholz, N.; Kiedrowski, K. von Löwe; Rittberger, M.: Knowledge generation in online forums : a case study in the German educational domain (2015) 0.01

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Date: 20. 1.2015 18:30:22

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