Search (3 results, page 1 of 1)

  • × theme_ss:"Benutzerstudien"
  • × theme_ss:"Informationsdienstleistungen"
  • × year_i:[2010 TO 2020}
  1. Borlund, P.; Dreier, S.: ¬An investigation of the search behaviour associated with Ingwersen's three types of information needs (2014) 0.04 
    0.041020118 = product of:
  0.061530173 = sum of:
    0.033817217 = weight(_text_:data in 2691) [ClassicSimilarity], result of:
      0.033817217 = score(doc=2691,freq=2.0), product of:
        0.16132914 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.051020417 = queryNorm
        0.2096163 = fieldWeight in 2691, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.046875 = fieldNorm(doc=2691)
    0.027712956 = product of:
      0.055425912 = sum of:
        0.055425912 = weight(_text_:processing in 2691) [ClassicSimilarity], result of:
          0.055425912 = score(doc=2691,freq=2.0), product of:
            0.20653816 = queryWeight, product of:
              4.048147 = idf(docFreq=2097, maxDocs=44218)
              0.051020417 = queryNorm
            0.26835677 = fieldWeight in 2691, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.048147 = idf(docFreq=2097, maxDocs=44218)
              0.046875 = fieldNorm(doc=2691)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)
    Abstract
    We report a naturalistic interactive information retrieval (IIR) study of 18 ordinary users in the age of 20-25 who carry out everyday-life information seeking (ELIS) on the Internet with respect to the three types of information needs identified by Ingwersen (1986): the verificative information need (VIN), the conscious topical information need (CIN), and the muddled topical information need (MIN). The searches took place in the private homes of the users in order to ensure as realistic searching as possible. Ingwersen (1996) associates a given search behaviour to each of the three types of information needs, which are analytically deduced, but not yet empirically tested. Thus the objective of the study is to investigate whether empirical data does, or does not, conform to the predictions derived from the three types of information needs. The main conclusion is that the analytically deduced information search behaviour characteristics by Ingwersen are positively corroborated for this group of test participants who search the Internet as part of ELIS.
    Source
    Information processing and management. 50(2014) no.4, S.493-507
  2. Smith, C.L.: Domain-independent search expertise : a description of procedural knowledge gained during guided instruction (2015) 0.02 
    0.01594159 = product of:
  0.04782477 = sum of:
    0.04782477 = weight(_text_:data in 2034) [ClassicSimilarity], result of:
      0.04782477 = score(doc=2034,freq=4.0), product of:
        0.16132914 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.051020417 = queryNorm
        0.29644224 = fieldWeight in 2034, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.046875 = fieldNorm(doc=2034)
  0.33333334 = coord(1/3)
    Abstract
    This longitudinal study examined the search behavior of 10 students as they completed assigned exercises for an online professional course in expert searching. The research objective was to identify, describe, and hypothesize about features of the behavior that are indicative of procedural knowledge gained during guided instruction. Log-data of search interaction were coded using a conceptual framework focused on components of search practice hypothesized to organize an expert searcher's attention during search. The coded data were analyzed using a measure of pointwise mutual information and state-transition analysis. Results of the study provide important insight for future investigation of domain-independent search expertise and for the design of systems that assist searchers in gaining expertise.
  3. Niu, X.; Hemminger, B.M.: ¬A study of factors that affect the information-seeking behavior of academic scientists (2012) 0.01 
    0.011272406 = product of:
  0.033817217 = sum of:
    0.033817217 = weight(_text_:data in 4986) [ClassicSimilarity], result of:
      0.033817217 = score(doc=4986,freq=2.0), product of:
        0.16132914 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.051020417 = queryNorm
        0.2096163 = fieldWeight in 4986, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.046875 = fieldNorm(doc=4986)
  0.33333334 = coord(1/3)
    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.

Authors