Search (68 results, page 1 of 4)

  • × theme_ss:"Suchtaktik"
  • × year_i:[2010 TO 2020}
  1. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.03
    0.026127275 = product of:
      0.07838182 = sum of:
        0.024834618 = weight(_text_:information in 3803) [ClassicSimilarity], result of:
          0.024834618 = score(doc=3803,freq=24.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.3359395 = fieldWeight in 3803, product of:
              4.8989797 = tf(freq=24.0), with freq of:
                24.0 = termFreq=24.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3803)
        0.053547204 = product of:
          0.10709441 = sum of:
            0.10709441 = weight(_text_:allgemeines in 3803) [ClassicSimilarity], result of:
              0.10709441 = score(doc=3803,freq=4.0), product of:
                0.24026412 = queryWeight, product of:
                  5.705423 = idf(docFreq=399, maxDocs=44218)
                  0.042111535 = queryNorm
                0.44573617 = fieldWeight in 3803, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  5.705423 = idf(docFreq=399, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3803)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    The 4th edition of this popular and well-cited text is now co-authored, and includes significant changes from earlier texts. Presenting a comprehensive review of over a century of research on information behavior (IB), this book is intended for students in information studies and disciplines interested in research on information activities. The initial two chapters introduce IB as a multi-disciplinary topic, the 3rd provides a brief history of research on information seeking. Chapter four discusses what is meant by the terms "information" and "knowledge. "Chapter five discusses "information needs," and how they are addressed. The 6th chapter identifies many related concepts. Twelve models of information behavior (expanded from earlier editions) are illustrated in chapter seven. Chapter eight reviews various paradigms and theories informing IB research. Chapter nine examines research methods invoked in IB studies and a discussion of qualitative and mixed approaches. The 10th chapter gives examples of IB studies by context. The final chapter looks at strengths and weaknesses, recent trends, and future development.
    BK
    06.30 (Bibliothekswesen / Dokumentationswesen: Allgemeines)
    Classification
    06.30 (Bibliothekswesen / Dokumentationswesen: Allgemeines)
    RSWK
    Information Retrieval
    Series
    Studies in information
    Subject
    Information Retrieval
  2. Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017) 0.01
    0.013292633 = product of:
      0.0398779 = sum of:
        0.022761302 = weight(_text_:information in 3589) [ClassicSimilarity], result of:
          0.022761302 = score(doc=3589,freq=14.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.3078936 = fieldWeight in 3589, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=3589)
        0.017116595 = product of:
          0.03423319 = sum of:
            0.03423319 = weight(_text_:22 in 3589) [ClassicSimilarity], result of:
              0.03423319 = score(doc=3589,freq=2.0), product of:
                0.14746742 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042111535 = queryNorm
                0.23214069 = fieldWeight in 3589, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3589)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1111-1123
  3. Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017) 0.01
    0.012680388 = product of:
      0.038041163 = sum of:
        0.023777334 = weight(_text_:information in 3340) [ClassicSimilarity], result of:
          0.023777334 = score(doc=3340,freq=22.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.32163754 = fieldWeight in 3340, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3340)
        0.014263829 = product of:
          0.028527658 = sum of:
            0.028527658 = weight(_text_:22 in 3340) [ClassicSimilarity], result of:
              0.028527658 = score(doc=3340,freq=2.0), product of:
                0.14746742 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042111535 = queryNorm
                0.19345059 = fieldWeight in 3340, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3340)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Keeping up to date with research developments is a central activity of academic researchers, but researchers face difficulties in managing the rapid growth of available scientific information. This study examined how researchers stay up to date, using the information journey model as a framework for analysis and investigating which dimensions influence information behaviors. We designed a 2-round study involving semistructured interviews and prototype testing with 61 researchers with 3 levels of seniority (PhD student to professor). Data were analyzed following a semistructured qualitative approach. Five key dimensions that influence information behaviors were identified: level of seniority, information sources, state of the project, level of familiarity, and how well defined the relevant community is. These dimensions are interrelated and their values determine the flow of the information journey. Across all levels of professional expertise, researchers used similar hard (formal) sources to access content, while soft (interpersonal) sources were used to filter information. An important "pain point" that future information tools should address is helping researchers filter information at the point of need.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35
  4. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.01
    0.012442863 = product of:
      0.037328586 = sum of:
        0.011470618 = weight(_text_:information in 4663) [ClassicSimilarity], result of:
          0.011470618 = score(doc=4663,freq=2.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.1551638 = fieldWeight in 4663, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0625 = fieldNorm(doc=4663)
        0.02585797 = weight(_text_:und in 4663) [ClassicSimilarity], result of:
          0.02585797 = score(doc=4663,freq=4.0), product of:
            0.093334615 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.042111535 = queryNorm
            0.27704588 = fieldWeight in 4663, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0625 = fieldNorm(doc=4663)
      0.33333334 = coord(2/6)
    
    Source
    Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
  5. Hopkins, M.E.; Zavalina, O.L.: Evaluating physicians' serendipitous knowledge discovery in online discovery systems : a new approach (2019) 0.01
    0.011923745 = product of:
      0.035771236 = sum of:
        0.021507407 = weight(_text_:information in 5842) [ClassicSimilarity], result of:
          0.021507407 = score(doc=5842,freq=18.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.2909321 = fieldWeight in 5842, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5842)
        0.014263829 = product of:
          0.028527658 = sum of:
            0.028527658 = weight(_text_:22 in 5842) [ClassicSimilarity], result of:
              0.028527658 = score(doc=5842,freq=2.0), product of:
                0.14746742 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042111535 = queryNorm
                0.19345059 = fieldWeight in 5842, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5842)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Purpose A new approach to investigate serendipitous knowledge discovery (SKD) of health information is developed and tested to evaluate the information flow-serendipitous knowledge discovery (IF-SKD) model. The purpose of this paper is to determine the degree to which IF-SKD reflects physicians' information behaviour in a clinical setting and explore how the information system, Spark, designed to support physicians' SKD, meets its goals. Design/methodology/approach The proposed pre-experimental study design employs an adapted version of the McCay-Peet's (2013) and McCay-Peet et al.'s (2015) serendipitous digital environment (SDE) questionnaire research tool to address the complexity associated with defining the way in which SKD is understood and applied in system design. To test the IF-SKD model, the new data analysis approach combining confirmatory factor analysis, data imputation and Monte Carlo simulations was developed. Findings The piloting of the proposed novel analysis approach demonstrated that small sample information behaviour survey data can be meaningfully examined using a confirmatory factor analysis technique. Research limitations/implications This method allows to improve the reliability in measuring SKD and the generalisability of findings. Originality/value This paper makes an original contribution to developing and refining methods and tools of research into information-system-supported serendipitous discovery of information by health providers.
    Date
    20. 1.2015 18:30:22
    Footnote
    Beitrag in einem Special Issue: Innovative Methods in Health Information Behaviour Research.
    Source
    Aslib journal of information management. 71(2019) no.6, S.755-772
  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) 0.01
    0.010608185 = product of:
      0.031824555 = sum of:
        0.017560726 = weight(_text_:information in 2680) [ClassicSimilarity], result of:
          0.017560726 = score(doc=2680,freq=12.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.23754507 = fieldWeight in 2680, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2680)
        0.014263829 = product of:
          0.028527658 = sum of:
            0.028527658 = weight(_text_:22 in 2680) [ClassicSimilarity], result of:
              0.028527658 = score(doc=2680,freq=2.0), product of:
                0.14746742 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042111535 = queryNorm
                0.19345059 = fieldWeight in 2680, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2680)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    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
    Source
    Information processing and management. 51(2015) no.5, S.557-569
  7. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.01
    0.009534034 = product of:
      0.0286021 = sum of:
        0.014338272 = weight(_text_:information in 1177) [ClassicSimilarity], result of:
          0.014338272 = score(doc=1177,freq=8.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.19395474 = fieldWeight in 1177, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1177)
        0.014263829 = product of:
          0.028527658 = sum of:
            0.028527658 = weight(_text_:22 in 1177) [ClassicSimilarity], result of:
              0.028527658 = score(doc=1177,freq=2.0), product of:
                0.14746742 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042111535 = queryNorm
                0.19345059 = fieldWeight in 1177, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1177)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Search engine users typically engage in multiquery sessions in their quest to fulfill their information needs. Despite a plethora of research findings suggesting that a significant group of users look for information within a specific geographical scope, existing reformulation studies lack a focused analysis of how users reformulate geographic queries. This study comprehensively investigates the ways in which users reformulate such needs in an attempt to fill this gap in the literature. Reformulated sessions were sampled from a query log of a major search engine to extract 2,400 entries that were manually inspected to filter geo sessions. This filter identified 471 search sessions that included geographical intent, and these sessions were analyzed quantitatively and qualitatively. The results revealed that one in five of the users who reformulated their queries were looking for geographically related information. They reformulated their queries by changing the content of the query rather than the structure. Users were not following a unified sequence of modifications and instead performed a single reformulation action. However, in some cases it was possible to anticipate their next move. A number of tasks in geo modifications were identified, including standard, multi-needs, multi-places, and hybrid approaches. The research concludes that it is important to specialize query reformulation studies to focus on particular query types rather than generically analyzing them, as it is apparent that geographic queries have their special reformulation characteristics.
    Date
    26. 1.2014 18:48:22
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.13-24
  8. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.01
    0.009534034 = product of:
      0.0286021 = sum of:
        0.014338272 = weight(_text_:information in 4573) [ClassicSimilarity], result of:
          0.014338272 = score(doc=4573,freq=8.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.19395474 = fieldWeight in 4573, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4573)
        0.014263829 = product of:
          0.028527658 = sum of:
            0.028527658 = weight(_text_:22 in 4573) [ClassicSimilarity], result of:
              0.028527658 = score(doc=4573,freq=2.0), product of:
                0.14746742 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042111535 = queryNorm
                0.19345059 = fieldWeight in 4573, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4573)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    This study explores how user subject knowledge influences search task processes and outcomes, as well as how search behavior is influenced by subject-oriented information visualization (IV) tools. To enable integrated searches, the proposed WikiMap + integrates search functions and IV tools (i.e., a topic network and hierarchical topic tree) and gathers information from Wikipedia pages and Google Search results. To evaluate the effectiveness of the proposed interfaces, we design subject-oriented tasks and adopt extended evaluation measures. We recruited 48 novices and 48 knowledgeable users, that is, intermediates, for the evaluation. Our results show that novices using the proposed interface demonstrate better search performance than intermediates using Wikipedia. We therefore conclude that our tools help close the gap between novices and intermediates in information searches. The results also show that intermediates can take advantage of the search tool by leveraging the IV tools to browse subtopics, and formulate better queries with less effort. We conclude that embedding the IV and the search tools in the interface can result in different search behavior but improved task performance. We provide implications to design search systems to include IV features adapted to user levels of subject knowledge to help them achieve better task performance.
    Date
    9.12.2018 16:22:25
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1428-1445
  9. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.01
    0.009317258 = product of:
      0.027951775 = sum of:
        0.019393478 = weight(_text_:und in 3206) [ClassicSimilarity], result of:
          0.019393478 = score(doc=3206,freq=16.0), product of:
            0.093334615 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.042111535 = queryNorm
            0.20778441 = fieldWeight in 3206, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0234375 = fieldNorm(doc=3206)
        0.0085582975 = product of:
          0.017116595 = sum of:
            0.017116595 = weight(_text_:22 in 3206) [ClassicSimilarity], result of:
              0.017116595 = score(doc=3206,freq=2.0), product of:
                0.14746742 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042111535 = queryNorm
                0.116070345 = fieldWeight in 3206, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0234375 = fieldNorm(doc=3206)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Content
    "In einer öffentlichen Bücherei ist die Suche nach einem Werk recht einfach: Man geht einfach die Regale ab, bis man beim richtigen Buchstaben oder Thema angekommen ist. In vielen wissenschaftlichen Bibliotheken ist das komplizierter. Denn dort müssen sich Studenten durch Datenbanken und Zettelkataloge wühlen. "Eine Ausnahme ist der Lesesaal, erklärt Marlene Grau, Sprecherin der Staats- und Universitätsbibliothek in Hamburg. Im Lesesaal stehen die Bücher wie in einer öffentlichen Bibliothek in Reih und Glied nach Fachgebieten wie Jura, Biologie oder Medizin sortiert. So können Studenten ein wenig schmökern und querbeet lesen. Wer jedoch ein bestimmtes Werk sucht, nutzt besser gleich den Katalog der Bibliothek. Darin lässt sich zum einen nach dem Autor oder einem Titelstichwort suchen - in der Biologie etwa "Fliege" oder "Insekt". "Dann kann man hoffen, dass Bücher zum Thema das Stichwort im Titel enthalten", sagt Grau. Die andere Variante ist, nach einem Schlagwort zu suchen. Um das passende zu finden, kann man im Schlagwort-Index blättern. Oder man sucht nach einem bekannten Buch, das zum Thema passt. Dann kann man mit dessen Schlagwörtern weitersuchen. Der Vorteil: Bücher müssen dieses Schlagwort nicht im Titel enthalten. Buchtitel wie 'Keine Angst vor Zahlen' oder 'Grundkurs Rechnen' findet man über die Schlagworte 'Mathematik' und 'Einführung', aber mit Stichworten eher nicht", erklärt Ulrich Hohoff. Er leitet die Universitätsbibliothek in Augsburg.
    "Ein häufiger Fehler ist auch, bei Google nach Büchern zu suchen", sagt Grau. Die Suchmaschine enthält keine Bibliotheksdaten. Außerdem sollten Studenten darauf achten, ob sie nach einem Zeitschriften-Artikel oder einer Monografie suchen. Benötigt man einen Aufsatz, muss man nach dem Titel der Zeitschrift und nicht nach dem Titel des Artikels suchen. Wichtig ist auch, den Suchschlüssel zu beachten. Wer nach dem Autor Johann Wolfgang von Goethe sucht, aber das Wort in der Titelsuche eingibt, bekommt andere Treffermengen. Studenten sollten die Suche auch nicht zu sehr eingrenzen. "Dann findet man nichts", warnt Grau. Andererseits darf man auch nicht zu allgemein suchen. Wer nach einem Buch zur deutschen Geschichte sucht, bekommt bei der Eingabe von "deutsche Geschichte" Tausende Treffer. "Da muss man den richtigen Suchschlüssel auswählen", erklärt Grau. Wer im Feld "Titelanfänge" etwa "deutsche Geschichte" eingibt, finde alle Titel mit diesen Wörtern in genau dieser Reihenfolge. Er lande also nicht beim Buch "Deutsche Naturlyrik: ihre Geschichte in Einzelanalysen". Das ist bei weit gefassten Begriffen sehr wichtig und hilfreich."
    Date
    3. 5.1997 8:44:22
    Series
    Magazin: Beruf und Bildung
  10. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.01
    0.008893713 = product of:
      0.026681138 = sum of:
        0.012417309 = weight(_text_:information in 5493) [ClassicSimilarity], result of:
          0.012417309 = score(doc=5493,freq=6.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.16796975 = fieldWeight in 5493, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5493)
        0.014263829 = product of:
          0.028527658 = sum of:
            0.028527658 = weight(_text_:22 in 5493) [ClassicSimilarity], result of:
              0.028527658 = score(doc=5493,freq=2.0), product of:
                0.14746742 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042111535 = queryNorm
                0.19345059 = fieldWeight in 5493, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5493)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Purpose Web search is more and more moving into mobile contexts. However, screen size of mobile devices is limited and search engine result pages face a trade-off between offering informative snippets and optimal use of space. One factor clearly influencing this trade-off is snippet length. The purpose of this paper is to find out what snippet size to use in mobile web search. Design/methodology/approach For this purpose, an eye-tracking experiment was conducted showing participants search interfaces with snippets of one, three or five lines on a mobile device to analyze 17 dependent variables. In total, 31 participants took part in the study. Each of the participants solved informational and navigational tasks. Findings Results indicate a strong influence of page fold on scrolling behavior and attention distribution across search results. Regardless of query type, short snippets seem to provide too little information about the result, so that search performance and subjective measures are negatively affected. Long snippets of five lines lead to better performance than medium snippets for navigational queries, but to worse performance for informational queries. Originality/value Although space in mobile search is limited, this study shows that longer snippets improve usability and user experience. It further emphasizes that page fold plays a stronger role in mobile than in desktop search for attention distribution.
    Date
    20. 1.2015 18:30:22
    Footnote
    Beitag in einem Special Issue: Information Science in the German-speaking Countries
    Source
    Aslib journal of information management. 71(2019) no.3, S.325-343
  11. Renugadevi, S.; Geetha, T.V.; Gayathiri, R.L.; Prathyusha, S.; Kaviya, T.: Collaborative search using an implicitly formed academic network (2014) 0.01
    0.0057154573 = product of:
      0.017146371 = sum of:
        0.005735309 = weight(_text_:information in 1628) [ClassicSimilarity], result of:
          0.005735309 = score(doc=1628,freq=2.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.0775819 = fieldWeight in 1628, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03125 = fieldNorm(doc=1628)
        0.011411063 = product of:
          0.022822127 = sum of:
            0.022822127 = weight(_text_:22 in 1628) [ClassicSimilarity], result of:
              0.022822127 = score(doc=1628,freq=2.0), product of:
                0.14746742 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.042111535 = queryNorm
                0.15476047 = fieldWeight in 1628, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03125 = fieldNorm(doc=1628)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 66(2014) no.5, S.537-552
  12. Cole, C.: ¬A theory of information need for information retrieval that connects information to knowledge (2011) 0.01
    0.0054755183 = product of:
      0.032853108 = sum of:
        0.032853108 = weight(_text_:information in 4474) [ClassicSimilarity], result of:
          0.032853108 = score(doc=4474,freq=42.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.44440612 = fieldWeight in 4474, product of:
              6.4807405 = tf(freq=42.0), with freq of:
                42.0 = termFreq=42.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4474)
      0.16666667 = coord(1/6)
    
    Abstract
    This article proposes a theory of information need for information retrieval (IR). Information need traditionally denotes the start state for someone seeking information, which includes information search using an IR system. There are two perspectives on information need. The dominant, computer science perspective is that the user needs to find an answer to a well-defined question which is easy for the user to formulate into a query to the system. Ironically, information science's best known model of information need (Taylor, 1968) deems it to be a "black box"-unknowable and nonspecifiable by the user in a query to the information system. Information science has instead devoted itself to studying eight adjacent or surrogate concepts (information seeking, search and use; problem, problematic situation and task; sense making and evolutionary adaptation/information foraging). Based on an analysis of these eight adjacent/surrogate concepts, we create six testable propositions for a theory of information need. The central assumption of the theory is that while computer science sees IR as an information- or answer-finding system, focused on the user finding an answer, an information science or user-oriented theory of information need envisages a knowledge formulation/acquisition system.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1216-1231
    Theme
    Information
  13. Lu, L.; Yuan, U.: Shall I Google it or ask the competent villain down the hall? : the moderating role of information need in information source selection (2011) 0.00
    0.004755467 = product of:
      0.028532801 = sum of:
        0.028532801 = weight(_text_:information in 4138) [ClassicSimilarity], result of:
          0.028532801 = score(doc=4138,freq=22.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.38596505 = fieldWeight in 4138, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=4138)
      0.16666667 = coord(1/6)
    
    Abstract
    Previous studies have found that both (a) the characteristics (e.g., quality and accessibility) and (b) the types of sources (e.g., relational and nonrelational sources) influence information source selection. Different from earlier studies that have prioritized one source attribute over the other, this research uses information need as a contingency factor to examine information seekers' simultaneous consideration of different attributes. An empirical test from 149 employees' evaluations of eight information sources revealed that (a) low-and high-information-need individuals favored information source quality over accessibility while medium-information-need individuals favored accessibility over quality; and (b) individuals are more likely to choose relational over nonrelational sources as information need increases.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.133-145
  14. Yuan, X.; Belkin, N.J.: Evaluating an integrated system supporting multiple information-seeking strategies (2010) 0.00
    0.004301482 = product of:
      0.02580889 = sum of:
        0.02580889 = weight(_text_:information in 3992) [ClassicSimilarity], result of:
          0.02580889 = score(doc=3992,freq=18.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.34911853 = fieldWeight in 3992, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=3992)
      0.16666667 = coord(1/6)
    
    Abstract
    Many studies have demonstrated that people engage in a variety of different information behaviors when engaging in information seeking. However, standard information retrieval systems such as Web search engines continue to be designed to support mainly one such behavior, specified searching. This situation has led to suggestions that people would be better served by information retrieval systems which support different kinds of information-seeking strategies. This article reports on an experiment comparing the retrieval effectiveness of an integrated interactive information retrieval (IIR) system which adapts to support different information-seeking strategies with that of a standard baseline IIR system. The experiment, with 32 participants each searching on eight different topics, indicates that using the integrated IIR system resulted in significantly better user satisfaction with search results, significantly more effective interaction, and significantly better usability than that using the baseline system.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.1987-2010
  15. Greyson, D.: Information triangulation : a complex and agentic everyday information practice (2018) 0.00
    0.004139103 = product of:
      0.024834618 = sum of:
        0.024834618 = weight(_text_:information in 4285) [ClassicSimilarity], result of:
          0.024834618 = score(doc=4285,freq=24.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.3359395 = fieldWeight in 4285, product of:
              4.8989797 = tf(freq=24.0), with freq of:
                24.0 = termFreq=24.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4285)
      0.16666667 = coord(1/6)
    
    Abstract
    In contemporary urban settings, information seekers may face challenges assessing and making use of the large quantity of information to which they have access. Such challenges may be particularly acute when laypeople are considering specialized or technical information pertaining to topics over which knowledge is contested. Within a constructivist grounded theory study of the health information practices of 39 young parents in urban Canada, a complex practice of information triangulation was observed. Triangulation comprised an iterative process of seeking, assessment, and sense-making, and typically resulted in a decision or action. This paper examines the emergent concept of information triangulation in everyday life, using data from the young parent study. Triangulation processes in this study could be classified as one of four types, and functioned as an exercise of agency in the face of structures of expertise and exclusion. Although triangulation has long been described and discussed as a practice among scientific researchers wishing to validate and enrich their data, it has rarely been identified as an everyday practice in information behavior research. Future investigations should consider the use of information triangulation for other types of information, including by other populations and in other areas of contested knowledge.
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.7, S.869-878
  16. Bowler, L.: ¬The self-regulation of curiosity and interest during the information search process of adolescent students (2010) 0.00
    0.003584568 = product of:
      0.021507407 = sum of:
        0.021507407 = weight(_text_:information in 3582) [ClassicSimilarity], result of:
          0.021507407 = score(doc=3582,freq=18.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.2909321 = fieldWeight in 3582, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3582)
      0.16666667 = coord(1/6)
    
    Abstract
    In a world of increasing information and communications possibilities, the difficulty for users of information systems and services may not lie in finding information but in filtering and integrating it into a cohesive whole. To do this, information seekers must know when and how to effectively use cognitive strategies to regulate their own thinking, motivation, and actions. Sometimes this is difficult when the topic is interesting and one is driven to explore it in great depth. This article reports on a qualitative study that, in the course of exploring the thinking and emotions of 10 adolescents during the information search process, uncovered patterns of behavior that are related to curiosity and interest. The larger purpose of the study was to investigate the metacognitive knowledge of adolescents, ages 16-18, as they searched for, selected, and used information to complete a school-based information task. The study found that the curiosity experienced by adolescents during the search process was accompanied by feelings of both pleasure and pain and that both feelings needed to be managed in order to navigate a pathway through the search process. The self-regulation of curiosity and interest was a clear and distinct metacognitive strategy fueled by metacognitive knowledge related to understanding one's own curiosity and the emotions attached to it.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1332-1344
  17. Agarwal, N.K.; Xu, Y.(C.); Poo, D.C.C.: ¬A context-based investigation into source use by information seekers (2011) 0.00
    0.003584568 = product of:
      0.021507407 = sum of:
        0.021507407 = weight(_text_:information in 4462) [ClassicSimilarity], result of:
          0.021507407 = score(doc=4462,freq=18.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.2909321 = fieldWeight in 4462, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4462)
      0.16666667 = coord(1/6)
    
    Abstract
    An important question in information-seeking behavior is where people go for information and why information seekers prefer to use one source type rather than another when faced with an information-seeking task or need for information. Prior studies have paid little attention to contingent variables that could change the cost-benefit calculus in source use. They also defined source use in one way or the other, or considered source use as a monolithic construct. Through an empirical survey of 352 working professionals in Singapore, this study carried out a context-based investigation into source use by information seekers. Different measures of source use have been incorporated, and various contextual variables that could affect the use of source types have been identified. The findings suggest that source quality and access difficulty are important antecedents of source use, regardless of the source type. Moreover, seekers place more weight on source quality when the task is important. Other contextual factors, however, are generally less important to source use. Seekers also demonstrate a strong pecking order in the use of source types, with online information and face-to-face being the two most preferred types.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.6, S.1087-1104
  18. St. Jean, B.: Factors motivating, demotivating, or impeding information seeking and use by people with type 2 diabetes : a call to work toward preventing, identifying, and addressing incognizance (2017) 0.00
    0.003584568 = product of:
      0.021507407 = sum of:
        0.021507407 = weight(_text_:information in 3423) [ClassicSimilarity], result of:
          0.021507407 = score(doc=3423,freq=18.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.2909321 = fieldWeight in 3423, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3423)
      0.16666667 = coord(1/6)
    
    Abstract
    Type 2 diabetes has grown increasingly prevalent over recent decades, now affecting nearly 400 million people worldwide; however, nearly half of these individuals have no idea they have it. Consumer health information behavior (CHIB), which encompasses people's health-related information needs as well as the ways in which they interact (or do not interact) with health-related information, plays an important role in people's ability to prevent, cope with, and successfully manage a serious chronic disease across time. In this mixed-method longitudinal study, the CHIB of 34 people with type 2 diabetes is explored with the goal of identifying the factors that motivate, demotivate, or impede their diabetes-related information seeking and use. The findings reveal that while these processes can be motivated by many different factors and can lead to important benefits, there are significant barriers (such as "incognizance," defined herein as having an information need that one is not aware of) that may demotivate or impede their information seeking and use. The implications of these findings are discussed, focusing on how we might work toward preventing, identifying, and addressing incognizance among this population, ensuring they have the information they need when it can be of the most use to them.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.2, S.309-320
  19. Vuong, T.; Saastamoinen, M.; Jacucci, G.; Ruotsalo, T.: Understanding user behavior in naturalistic information search tasks (2019) 0.00
    0.003584568 = product of:
      0.021507407 = sum of:
        0.021507407 = weight(_text_:information in 5419) [ClassicSimilarity], result of:
          0.021507407 = score(doc=5419,freq=18.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.2909321 = fieldWeight in 5419, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5419)
      0.16666667 = coord(1/6)
    
    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.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1248-1261
  20. Shah, C.; Marchionini, G.: Awareness in collaborative information seeking (2010) 0.00
    0.003512145 = product of:
      0.02107287 = sum of:
        0.02107287 = weight(_text_:information in 4082) [ClassicSimilarity], result of:
          0.02107287 = score(doc=4082,freq=12.0), product of:
            0.07392587 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.042111535 = queryNorm
            0.2850541 = fieldWeight in 4082, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=4082)
      0.16666667 = coord(1/6)
    
    Abstract
    Support for explicit collaboration in information-seeking activities is increasingly recognized as a desideratum for search systems. Several tools have emerged recently that help groups of people with the same information-seeking goals to work together. Many issues for these collaborative information-seeking (CIS) environments remain understudied. The authors identified awareness as one of these issues in CIS, and they presented a user study that involved 42 pairs of participants, who worked in collaboration over 2 sessions with 3 instances of the authors' CIS system for exploratory search. They showed that while having awareness of personal actions and history is important for exploratory search tasks spanning multiple sessions, support for group awareness is even more significant for effective collaboration. In addition, they showed that support for such group awareness can be provided without compromising usability or introducing additional load on the users.
    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

Languages

  • e 66
  • d 2
  • More… Less…

Types

  • a 65
  • m 3
  • s 1
  • More… Less…