Search (68 results, page 1 of 4)

  • × theme_ss:"Suchtaktik"
  1. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.01 
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    Content
    Im Online-Katalog erfahren Studenten auch, ob das Buch verfügbar oder verliehen ist. Ist es gerade vergriffen, kann man es vormerken lassen, er- klärt Monika Ziller, Vorsitzen- de des Deutschen Bibliotheksverbands in Berlin. Dann werden die Studenten entsprechend benachrichtigt, wenn es zurückgegeben wurde. Außerdem könnten Studenten virtuelle Fachbibliotheken nutzen, erklärt Grau. Um das Thema Slavistik kümmert sich etwa die Staatsbibliothek in Berlin. Auf der Internetseite kann man über Suchbegriffe alle elektronischen Slavistik-Angebote wie Zeitschriften, E-Books oder Bibliografien durchforsten. Die virtuelle Fachbibliothek spuckt dann eine Titelliste aus. Bestenfalls können Studenten gleich auf einzelne Volltexte der Liste zugreifen. Oder sie müssen schauen, ob die eigene Bibliothek das gesuchte Werk hat. Vor allem Zeitschriften sind oft online im Volltext abrufbar, aber auch Enzyklopädien. "Die sind auch aktueller als der Brockhaus von 1990, der zu Hause im Regal steht" sagt Grau. Manchmal ließen sich die Texte aus Gründen des Urheberrechts aber nur auf den Rechnern auf dem Unicampus lesen, ergänzt Hohoff. Findet man ein Buch nicht, ist der Grund dafür oft ein Fehler, der sich bei der Suche eingeschlichen hat. Das fängt bei der Rechtschreibung an: "Bibliothekskataloge verfügen über keine fehlertolerante Suche wie Google", erklärt Ziller.
    Date
    3. 5.1997 8:44:22
    Year
    2010
  2. Yuan, X.; Belkin, N.J.: Investigating information retrieval support techniques for different information-seeking strategies (2010) 0.01 
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    Abstract
    We report on a study that investigated the efficacy of four different interactive information retrieval (IIR) systems, each designed to support a specific information-seeking strategy (ISS). These systems were constructed using different combinations of IR techniques (i.e., combinations of different methods of representation, comparison, presentation and navigation), each of which was hypothesized to be well suited to support a specific ISS. We compared the performance of searchers in each such system, designated experimental, to an appropriate baseline system, which implemented the standard specified query and results list model of current state-of-the-art experimental and operational IR systems. Four within-subjects experiments were conducted for the purpose of this comparison. Results showed that each of the experimental systems was superior to its baseline system in supporting user performance for the specific ISS (that is, the information problem leading to that ISS) for which the system was designed. These results indicate that an IIR system, which intends to support more than one kind of ISS, should be designed within a framework which allows the use and combination of different IR support techniques for different ISSs.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1543-1563
    Year
    2010
  3. Lin, S.-j.; Belkin, N.: Validation of a model of information seeking over multiple search sessions (2005) 0.01 
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    Abstract
    Most information systems share a common assumption: information seeking is discrete. Such an assumption neither reflects real-life information seeking processes nor conforms to the perspective of phenomenology, "life is a journey constituted by continuous acquisition of knowledge." Thus, this study develops and validates a theoretical model that explains successive search experience for essentially the same information problem. The proposed model is called Multiple Information Seeking Episodes (MISE), which consists of four dimensions: problematic situation, information problem, information seeking process, episodes. Eight modes of multiple information seeking episodes are identified and specified with properties of the four dimensions of MISE. The results partially validate MISE by finding that the original MISE model is highly accurate, but less sufficient in characterizing successive searches; all factors in the MISE model are empirically confirmed, but new factors are identified as weIl. The revised MISE model is shifted from the user-centered to the interaction-centered perspective, taking into account factors of searcher, system, search activity, search context, information attainment, and information use activities.
    Date
    10. 4.2005 14:52:22
  4. Wildemuth, B.M.; Jacob, E.K.; Fullington, A.;; Bliek, R. de; Friedman, C.P.: ¬A detailed analysis of end-user search behaviours (1991) 0.00 
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    Abstract
    Search statements in this revision process can be viewed as a 'move' in the overall search strategy. Very little is known about how end users develop and revise their search strategies. A study was conducted to analyse the moves made in 244 data base searches conducted by 26 medical students at the University of North Carolina at Chapel Hill. Students search INQUIRER, a data base of facts and concepts in microbiology. The searches were conducted during a 3-week period in spring 1990 and were recorded by the INQUIRER system. Each search statement was categorised, using Fidel's online searching moves (S. Online review 9(1985) S.61-74) and Bates' search tactics (s. JASIS 30(1979) S.205-214). Further analyses indicated that the most common moves were Browse/Specity, Select Exhaust, Intersect, and Vary, and that selection of moves varied by student and by problem. Analysis of search tactics (combinations of moves) identified 5 common search approaches. The results of this study have implcations for future research on search behaviours, for thedesign of system interfaces and data base structures, and for the training of end users
  5. Spink, A.; Park, M.; Koshman, S.: Factors affecting assigned information problem ordering during Web search : an exploratory study (2006) 0.00 
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    Abstract
    Multitasking is the human ability to handle the demands of multiple tasks. Multitasking behavior involves the ordering of multiple tasks and switching between tasks. People often multitask when using information retrieval (IR) technologies as they seek information on more than one information problem over single or multiple search episodes. However, limited studies have examined how people order their information problems, especially during their Web search engine interaction. The aim of our exploratory study was to investigate assigned information problem ordering by forty (40) study participants engaged in Web search. Findings suggest that assigned information problem ordering was influenced by the following factors, including personal interest, problem knowledge, perceived level of information available on the Web, ease of finding information, level of importance and seeking information on information problems in order from general to specific. Personal interest and problem knowledge were the major factors during assigned information problem ordering. Implications of the findings and further research are discussed. The relationship between information problem ordering and gratification theory is an important area for further exploration.
  6. 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) 0.00 
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    Abstract
    This study addresses the impact of domain expertise (i.e. of prior knowledge of the domain) on the performance and query strategies used by users while searching for information. Twenty-four experts (psychology students) and 24 non-experts (students from other disciplines) had to search for psychology information from the Universalis website in order to perform six information problems of varying complexity: two simple problems (the keywords required to complete the task were provided in the problem statement), two more difficult problems (the keywords required had to be inferred) and two impossible problems (no answer was provided by the website). The results showed that participants with prior knowledge in the domain (experts in psychology) performed better (i.e. reached more correct answers after shorter search times) than non-experts. This difference was stronger as the complexity of the problems increased. This study also showed that experts and non-experts displayed different query strategies. Experts reformulated the impossible problems more often than non-experts, because they produced new queries with psychology-related keywords. The participants rarely used thematic category tool and when they did so this did not enhance their performance.
    Date
    25. 1.2016 18:46:22
  7. Yuan, X.; Belkin, N.J.: Evaluating an integrated system supporting multiple information-seeking strategies (2010) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.1987-2010
    Year
    2010
  8. Shah, C.; Marchionini, G.: Awareness in collaborative information seeking (2010) 0.00 
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    Footnote
    Erratum in: Journal of the American Society for Information Science and Technology, 61(2010) no.11, S.2377.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.1970-1986
    Year
    2010
  9. Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999) 0.00 
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    Abstract
    Previous empirical studies of searcher behaviour have drawn attention to a wide variety of factors that affect performance; for instance, the display of retrieved results can alter search strategies (Allen 1991, 1994), the information need type influences search behaviour, (Elkerton et al 1984, Marchionini 1995); while the task complexity, reflected in the information need can affect user's search behaviour (Large et al 1994). Furthermore, information source selection (Bassilli 1977), and the user's model of the system and domain impact on the search process (Michel 1994); while motivation (Solomon 1993, Jacobsen et al 1992) and the importance of the information need (Wendt 1969) also influence search duration and the effort a user will employ. Rouse and Rouse (1984) in a review of empirical studies, summarise a wide variety of variables that can effect searching behaviour, including payoff, costs of searching, resource available, amount of information sought, characteristics of the data and conflicts between documents. It appears that user behaviour is inconsistent in the search strategies adopted even for the same search need and system (Davidson 1977, Iivonen 1995). Theories of searcher behaviour have been proposed that provide explanations of aspects of end-user behaviour, such as the evolution of the user's information need and the problems of articulating a query, [Bates (1979, 1989), Markey and Atherton 1978], effective search strategies in browsing and goal directed searches [Marchionini 1995, Belkin (1987, 1993)], the linguistic problem of matching search terms with indexing terms or content of target documents through an expert intermediary (Ingwersen 1982) or cognitive aspects of IR (Kulthau 1984, Ingwersen 1996).
    Date
    22. 3.2002 9:54:13
  10. Ford, N.; Wilson, T.D.; Foster, A.; Ellis, D.; Spink, A.: Information seeking and mediated searching : Part 4: cognitive styles in information seeking (2002) 0.00 
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    Abstract
    In "Part 4. Cognitive Styles in Information Seeking,'' where Ford is the primary author, the results of the application of the Riding's Cognitive Styles Analysis and the Pask's holist/serialist portion of the Ford's Study Process Questionnaire to the 111 U.K. participants. were correlated using Spearman's coefficient with reports of focused thinking, degree of change in the intermediary's perception of the problem and personal knowledge, problem stage, degree of differentiating activity, change in problem perception, engagement in exploring activity, changes in questioning, valuing of serendipitous information, and other variables. The results would indicate that field independent individuals report clearer more focused thinking, see themselves in an earlier problem stage, and report higher levels of change in perception of the problem. Holists value serendipity and report engagement in Kuhlthau's exploring stage. They are seen by intermediaries as exhibiting fewer changes in questioning behavior. A fifth section will appear in a later issue.
  11. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.00 
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    Year
    2010
  12. Choi, Y.: Effects of contextual factors on image searching on the Web (2010) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2011-2028
    Year
    2010
  13. Morse, P.M.: Search theory and browsing (1970) 0.00 
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    Date
    22. 5.2005 19:53:09
  14. Wilson, T.D.; Ford, N.; Ellis, D.; Foster, A.; Spink, A.: Information seeking and mediated searching : Part 2: uncertainty and Its correlates (2002) 0.00 
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    Abstract
    In "Part 2. Uncertainty and Its Correlates,'' where Wilson is the primary author, after a review of uncertainty as a concept in information seeking and decision research, it is hypothesized that if the Kuhlthau problem solving stage model is appropriate the searchers will recognize the stage in which they currently are operating. Secondly to test Wilson's contention that operationalized uncertainty would be useful in characterizing users, it is hypothesized that uncertainty will decrease as the searcher proceeds through problem stages and after the completion of the search. A review of pre and post search interviews reveals that uncertainty can be operationalized, and that academic researchers have no difficulty with a stage model of the information seeking process. Uncertainty is unrelated to sex, age, or discipline, but is related to problem stage and domain knowledge. Both concepts appear robust.
  15. Bowler, L.: ¬The self-regulation of curiosity and interest during the information search process of adolescent students (2010) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1332-1344
    Year
    2010
  16. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.00 
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    Source
    Journal of documentation. 66(2010) no.2, S.191-206
    Year
    2010
  17. Sheeja, N.K.: Science vs social science : a study of information-seeking behavior and user perceptions of academic researchers (2010) 0.00 
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    Source
    Library review. 59(2010) no.7, S.522-531
    Year
    2010
  18. Xie, I.; Joo, S.: Transitions in search tactics during the Web-based search process (2010) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.11, S.2188-2205
    Year
    2010
  19. Bergman, O.; Whittaker, S.; Sanderson, M.; Nachmias, R.; Ramamoorthy, A.: ¬The effect of folder structure on personal file navigation (2010) 0.00 
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    Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2426-2441
    Year
    2010
  20. Savolainen, R.: Source preferences in the context of seeking problem-specific information (2008) 0.00 
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    Abstract
    The study focuses on the ways in which people define their source preferences in the context of seeking problem-specific information for non-work purposes. The conceptual framework draws on two major concepts, that is, information source horizon and information pathways. The former denotes the ways information sources are mapped in preference order in an imaginary field, while information pathways refers to the sequences in which sources placed on the information source horizon are actually used. The empirical part of the study draws on semi-structured interviews with 18 individuals active in environmental issues. Human sources and the Internet were preferred most strongly in seeking for problem-based information. The major source preferences were content of information, and availability and accessibility. Usability of information sources and user characteristics were mentioned less frequently as preference criteria. Typically, information pathways consisted of the use of 3-4 sources. On average, human and networked sources were favored in the early phases of information seeking. Printed media such as magazines and organizational sources were often used to complement information received from human sources and the Internet. However, the source preferences varied considerably, depending on the requirements of the problem at hand.

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