Search (64 results, page 1 of 4)

  • × theme_ss:"Benutzerstudien"
  • × year_i:[2010 TO 2020}
  1. Bank, C.: ¬Die Usability von Online-Wörterbüchern und elektronischen Sprachportalen (2012) 0.05
    0.05159797 = product of:
      0.17199323 = sum of:
        0.031254046 = weight(_text_:und in 566) [ClassicSimilarity], result of:
          0.031254046 = score(doc=566,freq=32.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.48975256 = fieldWeight in 566, product of:
              5.656854 = tf(freq=32.0), with freq of:
                32.0 = termFreq=32.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0390625 = fieldNorm(doc=566)
        0.020998465 = weight(_text_:der in 566) [ClassicSimilarity], result of:
          0.020998465 = score(doc=566,freq=14.0), product of:
            0.06431698 = queryWeight, product of:
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.02879306 = queryNorm
            0.326484 = fieldWeight in 566, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.0390625 = fieldNorm(doc=566)
        0.031254046 = weight(_text_:und in 566) [ClassicSimilarity], result of:
          0.031254046 = score(doc=566,freq=32.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.48975256 = fieldWeight in 566, product of:
              5.656854 = tf(freq=32.0), with freq of:
                32.0 = termFreq=32.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0390625 = fieldNorm(doc=566)
        0.021128364 = weight(_text_:des in 566) [ClassicSimilarity], result of:
          0.021128364 = score(doc=566,freq=6.0), product of:
            0.079736836 = queryWeight, product of:
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.02879306 = queryNorm
            0.2649762 = fieldWeight in 566, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.0390625 = fieldNorm(doc=566)
        0.0029430876 = weight(_text_:in in 566) [ClassicSimilarity], result of:
          0.0029430876 = score(doc=566,freq=2.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.07514416 = fieldWeight in 566, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0390625 = fieldNorm(doc=566)
        0.06441521 = weight(_text_:elektronischen in 566) [ClassicSimilarity], result of:
          0.06441521 = score(doc=566,freq=4.0), product of:
            0.15407887 = queryWeight, product of:
              5.3512506 = idf(docFreq=569, maxDocs=44218)
              0.02879306 = queryNorm
            0.41806644 = fieldWeight in 566, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.3512506 = idf(docFreq=569, maxDocs=44218)
              0.0390625 = fieldNorm(doc=566)
      0.3 = coord(6/20)
    
    Abstract
    Die Arbeit untersucht die Usability von Online-Wörterbüchern und elektronischen Sprachportalen und soll eine Brücke zwischen der Usability von Websites hinsichtlich softwareergonomischer Normen und Konventionen und Wörterbüchern in elektronischer Form schlagen. Die einzige Usability-Methode, mit der es möglich ist, konkrete und empirisch belegte Aussagen darüber zu treffen, wie potentielle Nutzer ein Online-Wörterbuch verwenden und welche Probleme dabei festgestellt werden, ist ein Usability- Test mit realen Benutzern. Als Untersuchungsgegenstand dient das Online-Wortschatz-Informationssystem Deutsch (Owid), die Base lexicale du français (BLF) und das elektronische Lernerwörterbuch Deutsch-Italienisch (Eldit). Die Arbeit setzt sich aus vier verschiedenen empirischen Studien zusammen. Da ein Usability-Test immer nur einen Ausschnitt an Funktionalitäten aus einem gesamten System widerspiegeln kann, wurden mithilfe einer empirischen Fragebogen-Studie zunächst die für den Benutzer wichtigsten und am meisten verwendeten Funktionen eines Online-Wörterbuchs identifiziert und als Grundlage für den Test gewählt. Eine anschließende heuristische Evaluation trug potentielle Usability-Probleme der drei Online- Wörterbücher zusammen und stellte die Grundlage für die Thesenstellung des Usability-Tests dar. Der Test setzte sich aus zwei empirischen Teilen zusammen: Einem Aufgabenteil, den die Testperson für jedes der drei Online-Wörterbüchern einzeln bearbeiten und dabei die Testmethode des lauten Denkens anwenden musste und einem Post-Test- Fragebogen, der direkt nach dem Bearbeiten des jeweiligen Aufgabenkatalogs ausgefüllt wurde. Der gesamte Test wurde mit Morae, einer Software u. a. für Software- und Website- Usability-Tests, durchgeführt und ausgewertet.
    Source
    Information - Wissenschaft und Praxis. 63(2012) H.6, S.345-360
  2. Werner, K.: das Confirmation/Disconfirmation-Paradigma der Kundenzufriedenheit im Kontext des Information Retrieval : Größere Zufriedenheit durch bessere Suchmaschinen? (2010) 0.02
    0.024278775 = product of:
      0.0971151 = sum of:
        0.012501617 = weight(_text_:und in 4016) [ClassicSimilarity], result of:
          0.012501617 = score(doc=4016,freq=2.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.19590102 = fieldWeight in 4016, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0625 = fieldNorm(doc=4016)
        0.033597544 = weight(_text_:der in 4016) [ClassicSimilarity], result of:
          0.033597544 = score(doc=4016,freq=14.0), product of:
            0.06431698 = queryWeight, product of:
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.02879306 = queryNorm
            0.5223744 = fieldWeight in 4016, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.0625 = fieldNorm(doc=4016)
        0.012501617 = weight(_text_:und in 4016) [ClassicSimilarity], result of:
          0.012501617 = score(doc=4016,freq=2.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.19590102 = fieldWeight in 4016, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0625 = fieldNorm(doc=4016)
        0.033805385 = weight(_text_:des in 4016) [ClassicSimilarity], result of:
          0.033805385 = score(doc=4016,freq=6.0), product of:
            0.079736836 = queryWeight, product of:
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.02879306 = queryNorm
            0.42396194 = fieldWeight in 4016, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.0625 = fieldNorm(doc=4016)
        0.00470894 = weight(_text_:in in 4016) [ClassicSimilarity], result of:
          0.00470894 = score(doc=4016,freq=2.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.120230645 = fieldWeight in 4016, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0625 = fieldNorm(doc=4016)
      0.25 = coord(5/20)
    
    Abstract
    In der vorgestellten Studie aus dem Bereich des interaktiven Information Retrieval wurde erstmals die Erwartungshaltung von Suchmaschinennutzern als mögliche Determinante der Benutzerzufriedenheit untersucht. Das experimentelle Untersuchungsdesign basiert auf einem betriebswirtschaftlichen Modell, das die Entstehung von Kundenzufriedenheit durch die Bestätigung bzw. Nicht-Bestätigung von Erwartungen erklärt. Ein zentrales Ergebnis dieser Studie ist, das bei der Messung von Benutzerzufriedenheit besonders auf den Messzeitpunkt zu achten ist. Des Weiteren konnte ein von der Systemgüte abhängiger Adaptionseffekt hinsichtlich der Relevanzbewertung der Benutzer nachgewiesen werden.
    Source
    Information - Wissenschaft und Praxis. 61(2010) H.6/7, S.385-396
  3. Stallmann, A.: Silver Surfer im Internet (2012) 0.02
    0.024095364 = product of:
      0.096381456 = sum of:
        0.02187783 = weight(_text_:und in 408) [ClassicSimilarity], result of:
          0.02187783 = score(doc=408,freq=8.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.34282678 = fieldWeight in 408, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0546875 = fieldNorm(doc=408)
        0.031427626 = weight(_text_:der in 408) [ClassicSimilarity], result of:
          0.031427626 = score(doc=408,freq=16.0), product of:
            0.06431698 = queryWeight, product of:
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.02879306 = queryNorm
            0.4886365 = fieldWeight in 408, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.0546875 = fieldNorm(doc=408)
        0.02187783 = weight(_text_:und in 408) [ClassicSimilarity], result of:
          0.02187783 = score(doc=408,freq=8.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.34282678 = fieldWeight in 408, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0546875 = fieldNorm(doc=408)
        0.017077852 = weight(_text_:des in 408) [ClassicSimilarity], result of:
          0.017077852 = score(doc=408,freq=2.0), product of:
            0.079736836 = queryWeight, product of:
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.02879306 = queryNorm
            0.2141777 = fieldWeight in 408, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.0546875 = fieldNorm(doc=408)
        0.0041203224 = weight(_text_:in in 408) [ClassicSimilarity], result of:
          0.0041203224 = score(doc=408,freq=2.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.10520181 = fieldWeight in 408, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0546875 = fieldNorm(doc=408)
      0.25 = coord(5/20)
    
    Abstract
    Deutschland unterliegt einem demographischen Wandel, der Anteil der über 50-Jährigen nimmt deutlich zu. Internetnutzer mit einem Alter von 50 Jahren oder älter werden als Silver Surfer bezeichnet. Im Zuge der fortschreitenden Digitalisierung gilt der kompetente Umgang mit dem Internet als Schlüsselqualifikation zur Erleichterung und Bereicherung des Lebens. Es werden Ergebnisse einer Befragung vorgestellt, die zu beantworten versucht, ob und in welchem Umfang Silver Surfer über Kompetenz im Umgang mit dem Internet verfügen. Bei der Befragung findet der Persona-Ansatz aus dem Bereich der Softwareentwicklung Anwendung. Ergebnis der Studie ist, dass die Generation 50+ unterschiedliche Interneterfahrungen aufweist und nicht als homogene Gruppe betrachtet werden kann.
    Source
    Information - Wissenschaft und Praxis. 63(2012) H.4, S.217-226
  4. Knautz, K.; Dröge, E.; Finkelmeyer, S.; Guschauski, D.; Juchem, K.; Krzmyk, C.; Miskovic, D.; Schiefer, J.; Sen, E.; Verbina, J.; Werner, N.; Stock, W.G.: Indexieren von Emotionen bei Videos (2010) 0.02
    0.02175988 = product of:
      0.08703952 = sum of:
        0.02096585 = weight(_text_:und in 3637) [ClassicSimilarity], result of:
          0.02096585 = score(doc=3637,freq=10.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.328536 = fieldWeight in 3637, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.046875 = fieldNorm(doc=3637)
        0.026937963 = weight(_text_:der in 3637) [ClassicSimilarity], result of:
          0.026937963 = score(doc=3637,freq=16.0), product of:
            0.06431698 = queryWeight, product of:
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.02879306 = queryNorm
            0.4188313 = fieldWeight in 3637, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.046875 = fieldNorm(doc=3637)
        0.02096585 = weight(_text_:und in 3637) [ClassicSimilarity], result of:
          0.02096585 = score(doc=3637,freq=10.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.328536 = fieldWeight in 3637, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.046875 = fieldNorm(doc=3637)
        0.014638159 = weight(_text_:des in 3637) [ClassicSimilarity], result of:
          0.014638159 = score(doc=3637,freq=2.0), product of:
            0.079736836 = queryWeight, product of:
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.02879306 = queryNorm
            0.18358089 = fieldWeight in 3637, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.046875 = fieldNorm(doc=3637)
        0.003531705 = weight(_text_:in in 3637) [ClassicSimilarity], result of:
          0.003531705 = score(doc=3637,freq=2.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.09017298 = fieldWeight in 3637, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.046875 = fieldNorm(doc=3637)
      0.25 = coord(5/20)
    
    Abstract
    Gegenstand der empirischen Forschungsarbeit sind dargestellte wie empfundene Gefühle bei Videos. Sind Nutzer in der Lage, solche Gefühle derart konsistent zu erschließen, dass man deren Angaben für ein emotionales Videoretrieval gebrauchen kann? Wir arbeiten mit einem kontrollierten Vokabular für neun tionen (Liebe, Freude, Spaß, Überraschung, Sehnsucht, Trauer, Ärger, Ekel und Angst), einem Schieberegler zur Einstellung der jeweiligen Intensität des Gefühls und mit dem Ansatz der broad Folksonomy, lassen also unterschiedliche Nutzer die Videos taggen. Versuchspersonen bekamen insgesamt 20 Videos (bearbeitete Filme aus YouTube) vorgelegt, deren Emotionen sie indexieren sollten. Wir erhielten Angaben von 776 Probanden und entsprechend 279.360 Schiebereglereinstellungen. Die Konsistenz der Nutzervoten ist sehr hoch; die Tags führen zu stabilen Verteilungen der Emotionen für die einzelnen Videos. Die endgültige Form der Verteilungen wird schon bei relativ wenigen Nutzern (unter 100) erreicht. Es ist möglich, im Sinne der Power Tags die jeweils für ein Dokument zentralen Gefühle (soweit überhaupt vorhanden) zu separieren und für das emotionale Information Retrieval (EmIR) aufzubereiten.
    Source
    Information - Wissenschaft und Praxis. 61(2010) H.4, S.221-236
  5. Mandl, T.; Schulz, J.M.; Marholz, N.; Werner, K.: Benutzerforschung anhand von Log-Dateien : Chancen Grenzen und aktuelle Trends (2011) 0.02
    0.020764317 = product of:
      0.10382158 = sum of:
        0.027954467 = weight(_text_:und in 4304) [ClassicSimilarity], result of:
          0.027954467 = score(doc=4304,freq=10.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.438048 = fieldWeight in 4304, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0625 = fieldNorm(doc=4304)
        0.028395105 = weight(_text_:der in 4304) [ClassicSimilarity], result of:
          0.028395105 = score(doc=4304,freq=10.0), product of:
            0.06431698 = queryWeight, product of:
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.02879306 = queryNorm
            0.44148692 = fieldWeight in 4304, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.0625 = fieldNorm(doc=4304)
        0.027954467 = weight(_text_:und in 4304) [ClassicSimilarity], result of:
          0.027954467 = score(doc=4304,freq=10.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.438048 = fieldWeight in 4304, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0625 = fieldNorm(doc=4304)
        0.019517547 = weight(_text_:des in 4304) [ClassicSimilarity], result of:
          0.019517547 = score(doc=4304,freq=2.0), product of:
            0.079736836 = queryWeight, product of:
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.02879306 = queryNorm
            0.24477452 = fieldWeight in 4304, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.0625 = fieldNorm(doc=4304)
      0.2 = coord(4/20)
    
    Abstract
    Die Analyse des Verhaltens von Benutzern von Informationssystemen stellt einen Kern der Informationswissenschaft dar. Die Sammlung von umfangreichen Verhaltensdaten fällt mit den heutigen technischen Möglichkeiten leicht. Der Artikel fasst Möglichkeiten und Chancen der Analyse von Log-Dateien zusammen. Der Track LogCLEF wird vorgestellt, der Forschern erstmals die Möglichkeit eröffnet, mit den denselben Log-Dateien und somit vergleichend arbeiten zu können. Die Datengrundlage und einige Ergebnisse von LogCLEF werden vorgestellt.
    Source
    Information - Wissenschaft und Praxis. 62(2011) H.1, S.29-35
  6. Heller, L.: Ergebnisse der Benutzerumfrage "Literaturverwaltung - Was ich benutze und was ich brauche", TIB/UB Hannover 2011 (2011) 0.01
    0.010943607 = product of:
      0.054718036 = sum of:
        0.017679956 = weight(_text_:und in 4884) [ClassicSimilarity], result of:
          0.017679956 = score(doc=4884,freq=4.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.27704588 = fieldWeight in 4884, 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=4884)
        0.012698677 = weight(_text_:der in 4884) [ClassicSimilarity], result of:
          0.012698677 = score(doc=4884,freq=2.0), product of:
            0.06431698 = queryWeight, product of:
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.02879306 = queryNorm
            0.19743896 = fieldWeight in 4884, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.2337668 = idf(docFreq=12875, maxDocs=44218)
              0.0625 = fieldNorm(doc=4884)
        0.017679956 = weight(_text_:und in 4884) [ClassicSimilarity], result of:
          0.017679956 = score(doc=4884,freq=4.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.27704588 = fieldWeight in 4884, 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=4884)
        0.006659447 = weight(_text_:in in 4884) [ClassicSimilarity], result of:
          0.006659447 = score(doc=4884,freq=4.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.17003182 = fieldWeight in 4884, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0625 = fieldNorm(doc=4884)
      0.2 = coord(4/20)
    
    Abstract
    Raw data set (in CSV format) of a user survey about usage and needs regarding reference management software (like Endnote, Zotero, Citavi) in germany 2011. Participants were mainly college students, librarians, and other users of reference management software.
    Footnote
    Vgl. auch: http://www.tib.uni-hannover.de/de/aktuelles/aktuell/newsdetail/article/citavi-endnote-zotero-und-co/62.html.
  7. Huvila, I.: Mining qualitative data on human information behaviour from the Web (2010) 0.01
    0.01042762 = product of:
      0.0521381 = sum of:
        0.015469962 = weight(_text_:und in 4676) [ClassicSimilarity], result of:
          0.015469962 = score(doc=4676,freq=4.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.24241515 = fieldWeight in 4676, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4676)
        0.015469962 = weight(_text_:und in 4676) [ClassicSimilarity], result of:
          0.015469962 = score(doc=4676,freq=4.0), product of:
            0.06381599 = queryWeight, product of:
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.02879306 = queryNorm
            0.24241515 = fieldWeight in 4676, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              2.216367 = idf(docFreq=13101, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4676)
        0.017077852 = weight(_text_:des in 4676) [ClassicSimilarity], result of:
          0.017077852 = score(doc=4676,freq=2.0), product of:
            0.079736836 = queryWeight, product of:
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.02879306 = queryNorm
            0.2141777 = fieldWeight in 4676, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.7693076 = idf(docFreq=7536, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4676)
        0.0041203224 = weight(_text_:in in 4676) [ClassicSimilarity], result of:
          0.0041203224 = score(doc=4676,freq=2.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.10520181 = fieldWeight in 4676, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4676)
      0.2 = coord(4/20)
    
    Abstract
    This paper discusses an approach of collecting qualitative data on human information behaviour that is based on mining web data using search engines. The approach is technically the same that has been used for some time in webometric research to make statistical inferences on web data, but the present paper shows how the same tools and data collecting methods can be used to gather data for qualitative data analysis on human information behaviour.
    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
  8. Kaba, B.; Touré, B.: Understanding information and communication technology behavioral intention to use : applying the UTAUT model to social networking site adoption by young people in a least developed country (2014) 0.00
    0.00348579 = product of:
      0.0348579 = sum of:
        0.026960768 = product of:
          0.053921536 = sum of:
            0.053921536 = weight(_text_:kommunikationswissenschaften in 1336) [ClassicSimilarity], result of:
              0.053921536 = score(doc=1336,freq=2.0), product of:
                0.15303716 = queryWeight, product of:
                  5.315071 = idf(docFreq=590, maxDocs=44218)
                  0.02879306 = queryNorm
                0.35234275 = fieldWeight in 1336, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.315071 = idf(docFreq=590, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1336)
          0.5 = coord(1/2)
        0.007897133 = weight(_text_:in in 1336) [ClassicSimilarity], result of:
          0.007897133 = score(doc=1336,freq=10.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.20163295 = fieldWeight in 1336, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.046875 = fieldNorm(doc=1336)
      0.1 = coord(2/20)
    
    Abstract
    According to many studies, social network sites (SNS) have become some of the most popular online destinations. It has been pointed out that very little is known about the psychosocial variables that predict people's use of these websites. In this article, our general objective is to understand behavioral intentions to use SNS employing the well-known unified theory of acceptance and use of technology (UTAUT), which has been validated in a number of studies. Data were collected through a questionnaire survey from a final sample of 1,039 social networking website users in Africa. We have shown that there are contexts, such as the African context, in which the UTAUT does not hold up. Explanations are provided to support the findings.
    Field
    Kommunikationswissenschaften
  9. Tenopir, C.; Levine, K.; Allard, S.; Christian, L.; Volentine, R.; Boehm, R.; Nichols, F.; Nicholas, D.; Jamali, H.R.; Herman, E.; Watkinson, A.: Trustworthiness and authority of scholarly information in a digital age : results of an international questionnaire (2016) 0.00
    0.003402418 = product of:
      0.03402418 = sum of:
        0.026960768 = product of:
          0.053921536 = sum of:
            0.053921536 = weight(_text_:kommunikationswissenschaften in 3113) [ClassicSimilarity], result of:
              0.053921536 = score(doc=3113,freq=2.0), product of:
                0.15303716 = queryWeight, product of:
                  5.315071 = idf(docFreq=590, maxDocs=44218)
                  0.02879306 = queryNorm
                0.35234275 = fieldWeight in 3113, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.315071 = idf(docFreq=590, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3113)
          0.5 = coord(1/2)
        0.00706341 = weight(_text_:in in 3113) [ClassicSimilarity], result of:
          0.00706341 = score(doc=3113,freq=8.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.18034597 = fieldWeight in 3113, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.046875 = fieldNorm(doc=3113)
      0.1 = coord(2/20)
    
    Abstract
    An international survey of over 3,600 researchers examined how trustworthiness and quality are determined for making decisions on scholarly reading, citing, and publishing and how scholars perceive changes in trust with new forms of scholarly communication. Although differences in determining trustworthiness and authority of scholarly resources exist among age groups and fields of study, traditional methods and criteria remain important across the board. Peer review is considered the most important factor for determining the quality and trustworthiness of research. Researchers continue to read abstracts, check content for sound arguments and credible data, and rely on journal rankings when deciding whether to trust scholarly resources in reading, citing, or publishing. Social media outlets and open access publications are still often not trusted, although many researchers believe that open access has positive implications for research, especially if the open access journals are peer reviewed.
    Field
    Kommunikationswissenschaften
  10. Lian, T.; Chen, Z.; Lin, Y.; Ma, J.: Temporal patterns of the online video viewing behavior of smart TV viewers (2018) 0.00
    0.0029048254 = product of:
      0.029048253 = sum of:
        0.022467308 = product of:
          0.044934615 = sum of:
            0.044934615 = weight(_text_:kommunikationswissenschaften in 4219) [ClassicSimilarity], result of:
              0.044934615 = score(doc=4219,freq=2.0), product of:
                0.15303716 = queryWeight, product of:
                  5.315071 = idf(docFreq=590, maxDocs=44218)
                  0.02879306 = queryNorm
                0.29361898 = fieldWeight in 4219, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.315071 = idf(docFreq=590, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4219)
          0.5 = coord(1/2)
        0.006580944 = weight(_text_:in in 4219) [ClassicSimilarity], result of:
          0.006580944 = score(doc=4219,freq=10.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.16802745 = fieldWeight in 4219, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4219)
      0.1 = coord(2/20)
    
    Abstract
    In recent years, millions of households have shifted from traditional TVs to smart TVs for viewing online videos on TV screens. In this article, we perform extensive analyses on a large-scale online video viewing log on smart TVs. Because time influences almost every aspect of our lives, our aim is to understand temporal patterns of the online video viewing behavior of smart TV viewers at the crowd level. First, we measure the amount of time per hour spent in watching online videos on smart TV by each household on each day. By applying clustering techniques, we identify eight daily patterns whose peak hours occur in different segments of the day. The differences among households can be characterized by three types of temporal habits. We also uncover five periodic weekly patterns. There seems to be a circadian rhythm at the crow level. Further analysis confirms that there exists a holiday effect in the online video viewing behavior on smart TVs. Finally, we investigate the popularity variations of different video categories over the day. The obtained insights shed light on how we can partition a day to improve the performance of time-aware video recommendations for smart TV viewers.
    Field
    Kommunikationswissenschaften
  11. Beaudoin, J.E.: Content-based image retrieval methods and professional image users (2016) 0.00
    0.0019059516 = product of:
      0.019059516 = sum of:
        0.009306861 = weight(_text_:in in 2637) [ClassicSimilarity], result of:
          0.009306861 = score(doc=2637,freq=20.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.2376267 = fieldWeight in 2637, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2637)
        0.009752655 = product of:
          0.01950531 = sum of:
            0.01950531 = weight(_text_:22 in 2637) [ClassicSimilarity], result of:
              0.01950531 = score(doc=2637,freq=2.0), product of:
                0.10082839 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02879306 = queryNorm
                0.19345059 = fieldWeight in 2637, 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=2637)
          0.5 = coord(1/2)
      0.1 = coord(2/20)
    
    Abstract
    This article reports the findings of a qualitative research study that examined professional image users' knowledge of, and interest in using, content-based image retrieval (CBIR) systems in an attempt to clarify when and where CBIR methods might be applied. The research sought to determine the differences in the perceived usefulness of CBIR technologies among image user groups from several domains and explicate the reasons given regarding the utility of CBIR systems for their professional tasks. Twenty participants (archaeologists, architects, art historians, and artists), individuals who rely on images of cultural materials in the performance of their work, took part in the study. The findings of the study reveal that interest in CBIR methods varied among the different professional user communities. Individuals who showed an interest in these systems were primarily those concerned with the formal characteristics (i.e., color, shape, composition, and texture) of the images being sought. In contrast, those participants who expressed a strong interest in images of known items, images illustrating themes, and/or items from specific locations believe concept-based searches to be the most direct route. These image users did not see a practical application for CBIR systems in their current work routines.
    Date
    22. 1.2016 12:32:25
  12. Okoli, C.; Mehdi, M.; Mesgari, M.; Nielsen, F.A.; Lanamäki, A.: Wikipedia in the eyes of its beholders : a systematic review of scholarly research on Wikipedia readers and readership (2014) 0.00
    0.0018766596 = product of:
      0.018766595 = sum of:
        0.00706341 = weight(_text_:in in 1540) [ClassicSimilarity], result of:
          0.00706341 = score(doc=1540,freq=8.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.18034597 = fieldWeight in 1540, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.046875 = fieldNorm(doc=1540)
        0.011703186 = product of:
          0.023406371 = sum of:
            0.023406371 = weight(_text_:22 in 1540) [ClassicSimilarity], result of:
              0.023406371 = score(doc=1540,freq=2.0), product of:
                0.10082839 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02879306 = queryNorm
                0.23214069 = fieldWeight in 1540, 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=1540)
          0.5 = coord(1/2)
      0.1 = coord(2/20)
    
    Abstract
    Hundreds of scholarly studies have investigated various aspects of Wikipedia. Although a number of literature reviews have provided overviews of this vast body of research, none has specifically focused on the readers of Wikipedia and issues concerning its readership. In this systematic literature review, we review 99 studies to synthesize current knowledge regarding the readership of Wikipedia and provide an analysis of research methods employed. The scholarly research has found that Wikipedia is popular not only for lighter topics such as entertainment but also for more serious topics such as health and legal information. Scholars, librarians, and students are common users, and Wikipedia provides a unique opportunity for educating students in digital literacy. We conclude with a summary of key findings, implications for researchers, and implications for the Wikipedia community.
    Date
    18.11.2014 13:22:03
    Series
    Advances in information science
  13. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.00
    0.0018076964 = product of:
      0.018076964 = sum of:
        0.008324308 = weight(_text_:in in 1177) [ClassicSimilarity], result of:
          0.008324308 = score(doc=1177,freq=16.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.21253976 = fieldWeight in 1177, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1177)
        0.009752655 = product of:
          0.01950531 = sum of:
            0.01950531 = weight(_text_:22 in 1177) [ClassicSimilarity], result of:
              0.01950531 = score(doc=1177,freq=2.0), product of:
                0.10082839 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02879306 = 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)
      0.1 = coord(2/20)
    
    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
  14. Mizrachi, D.; Bates, M.J.: Undergraduates' personal academic information management and the consideration of time and task-urgency (2013) 0.00
    0.0016333599 = product of:
      0.016333599 = sum of:
        0.006580944 = weight(_text_:in in 1003) [ClassicSimilarity], result of:
          0.006580944 = score(doc=1003,freq=10.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.16802745 = fieldWeight in 1003, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1003)
        0.009752655 = product of:
          0.01950531 = sum of:
            0.01950531 = weight(_text_:22 in 1003) [ClassicSimilarity], result of:
              0.01950531 = score(doc=1003,freq=2.0), product of:
                0.10082839 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02879306 = queryNorm
                0.19345059 = fieldWeight in 1003, 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=1003)
          0.5 = coord(1/2)
      0.1 = coord(2/20)
    
    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.
  15. Westman, S.; Laine-Hernandez, M.; Oittinen, P.: Development and evaluation of a multifaceted magazine image categorization model (2011) 0.00
    0.001563883 = product of:
      0.01563883 = sum of:
        0.005886175 = weight(_text_:in in 4193) [ClassicSimilarity], result of:
          0.005886175 = score(doc=4193,freq=8.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.15028831 = fieldWeight in 4193, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4193)
        0.009752655 = product of:
          0.01950531 = sum of:
            0.01950531 = weight(_text_:22 in 4193) [ClassicSimilarity], result of:
              0.01950531 = score(doc=4193,freq=2.0), product of:
                0.10082839 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02879306 = queryNorm
                0.19345059 = fieldWeight in 4193, 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=4193)
          0.5 = coord(1/2)
      0.1 = coord(2/20)
    
    Abstract
    The development of visual retrieval methods requires information about user interaction with images, including their description and categorization. This article presents the development of a categorization model for magazine images based on two user studies. In Study 1, we elicited 10 main classes of magazine image categorization criteria through sorting tasks with nonexpert and expert users (N=30). Multivariate methods, namely, multidimensional scaling and hierarchical clustering, were used to analyze similarity data. Content analysis of category names gave rise to classes that were synthesized into a categorization framework. The framework was evaluated in Study 2 by experts (N=24) who categorized another set of images consistent with the framework and found it to be useful in the task. Based on the evaluation study the framework was solidified into a model for categorizing magazine imagery. Connections between classes were analyzed both from the original sorting data and from the evaluation study and included into the final model. The model is a practical categorization tool that may be used in workplaces, such as magazine editorial offices. It may also serve to guide the development of computational methods for image understanding, selection of concepts for automatic detection, and approaches to support browsing and exploratory image search.
    Date
    22. 1.2011 14:09:26
  16. 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
    0.001563883 = product of:
      0.01563883 = sum of:
        0.005886175 = weight(_text_:in in 2680) [ClassicSimilarity], result of:
          0.005886175 = score(doc=2680,freq=8.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.15028831 = fieldWeight in 2680, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2680)
        0.009752655 = product of:
          0.01950531 = sum of:
            0.01950531 = weight(_text_:22 in 2680) [ClassicSimilarity], result of:
              0.01950531 = score(doc=2680,freq=2.0), product of:
                0.10082839 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02879306 = 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)
      0.1 = coord(2/20)
    
    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
  17. Griesbaum, J.; Mahrholz, N.; Kiedrowski, K. von Löwe; Rittberger, M.: Knowledge generation in online forums : a case study in the German educational domain (2015) 0.00
    0.0012511065 = product of:
      0.012511064 = sum of:
        0.00470894 = weight(_text_:in in 4440) [ClassicSimilarity], result of:
          0.00470894 = score(doc=4440,freq=8.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.120230645 = fieldWeight in 4440, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.03125 = fieldNorm(doc=4440)
        0.007802124 = product of:
          0.015604248 = sum of:
            0.015604248 = weight(_text_:22 in 4440) [ClassicSimilarity], result of:
              0.015604248 = score(doc=4440,freq=2.0), product of:
                0.10082839 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02879306 = queryNorm
                0.15476047 = fieldWeight in 4440, 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=4440)
          0.5 = coord(1/2)
      0.1 = coord(2/20)
    
    Abstract
    Purpose - The purpose of this paper is to get a first approximation of the usefulness of online forums with regard to information seeking and knowledge generation. Design/methodology/approach - This study captures the characteristics of knowledge generation by examining the pragmatics and types of information needs of posted questions and by investigating knowledge related characteristics of discussion posts as well as the success of communication. Three online forums were examined. The data set consists of 55 threads, containing 533 posts which were categorized manually by two researchers. Findings - Results show that questioners often ask for personal estimations. Information needs often aim for actionable insights or uncertainty reduction. With regard to answers, factual information is the dominant content type and has the highest knowledge value as it is the strongest predictor with regard to the generation of new knowledge. Opinions are also relevant, but in a rather subsequent and complementary way. Emotional aspects are scarcely observed. Overall, results indicate that knowledge creation predominantly follows a socio-cultural paradigm of knowledge exchange. Research limitations/implications - Although the investigation captures important aspects of knowledge building processes, the measurement of the forums' knowledge value is still rather limited. Success is only partly measurable with the current scheme. The central coding category "new topical knowledge" is only of nominal value and therefore not able to compare different kinds of knowledge gains in the course of discussion. Originality/value - The investigation reaches out beyond studies that do not consider that the role and relevance of posts is dependent on the state of the discussion. Furthermore, the paper integrates two perspectives of knowledge value: the success of the questioner with regard to the expressed information need and the knowledge building value for communicants and readers.
    Date
    20. 1.2015 18:30:22
  18. Gregory, K.; Groth, P.; Cousijn, H.; Scharnhorst, A.; Wyatt, S.: Searching data : a review of observational data retrieval practices in selected disciplines (2019) 0.00
    5.0463446E-4 = product of:
      0.010092689 = sum of:
        0.010092689 = weight(_text_:in in 5216) [ClassicSimilarity], result of:
          0.010092689 = score(doc=5216,freq=12.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.2576908 = fieldWeight in 5216, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5216)
      0.05 = coord(1/20)
    
    Abstract
    A cross-disciplinary examination of the user behaviors involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data in selected disciplines. Two analytical frameworks, rooted in information retrieval and science and technology studies, are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.
  19. Savolainen, R.: Judging the quality and credibility of information in Internet discussion forums (2011) 0.00
    4.6534307E-4 = product of:
      0.009306861 = sum of:
        0.009306861 = weight(_text_:in in 4477) [ClassicSimilarity], result of:
          0.009306861 = score(doc=4477,freq=20.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.2376267 = fieldWeight in 4477, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4477)
      0.05 = coord(1/20)
    
    Abstract
    This exploratory study contributes to research on relevance assessment by specifying criteria that are used in the judgment of information quality and credibility in Internet discussion forums. To this end, 4,739 messages posted to 160 Finnish discussion threads were analyzed. Of the messages, 20.5% contained explicit judgments of the quality of information and credibility in other messages. In the judgments, the forum participants employed both positive criteria such as validity of information and negative criteria such as dishonesty in argumentation. In the evaluation of the quality of the message's information content, the most frequently used criteria pertained to the usefulness, correctness, and specificity of information. In the judgment of information credibility, the main criteria included the reputation, expertise, and honesty of the author of the message. Since Internet discussion forums tend to emphasize the role of disputational discourse questioning rather than accepting the views presented by others, mainly negative criteria were used in the judgments. The generality of our claims is limited because we chose forums that focused on sensitive and value-laden topics; future work could explore credibility and quality judgment in other forums and forumlike venues such as question and answer sites as well as exploring how quality and credibility judgments interact with other aspects of forum use.
  20. Niu, X.; Hemminger, B.M.: ¬A study of factors that affect the information-seeking behavior of academic scientists (2012) 0.00
    3.9485664E-4 = product of:
      0.007897133 = sum of:
        0.007897133 = weight(_text_:in in 4986) [ClassicSimilarity], result of:
          0.007897133 = score(doc=4986,freq=10.0), product of:
            0.039165888 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.02879306 = queryNorm
            0.20163295 = fieldWeight in 4986, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.046875 = fieldNorm(doc=4986)
      0.05 = coord(1/20)
    
    Abstract
    In an effort to understand how academic scientists seek information relevant to their research in today's environment of ubiquitous electronic access, a correlation framework is built and regression analysis is applied to the survey results from 2,063 academic researchers in natural science, engineering, and medical science at five research universities in the United States. Previous work has reported descriptive statistics about these scientists' information-seeking behavior. This study extends that work to examine relationships between scientists' information-seeking behaviors and their personal and environmental factors. Several regression models, including the Poisson model, the logit model, and the ordered logit model, are built to interpret the correlation among scientists' behaviors. In addition, exploratory factor analysis is used for data reduction. Overall, many factors were found to affect the specific information-seeking behaviors of scientists, including demographic, psychological, role-related, and environmental factors. Of the factors having an effect, academic position was the most important determinant of information behavior.

Languages

  • e 58
  • d 6

Types

  • a 63
  • el 1
  • More… Less…