Search (1 results, page 1 of 1)

  • × author_ss:"Gluck, M."
  • × theme_ss:"Retrievalstudien"
  • × year_i:[1990 TO 2000}
  1. Gluck, M.: Understanding performance in information systems : blending relevance and competence (1995) 0.03
    0.026520537 = product of:
      0.053041074 = sum of:
        0.053041074 = product of:
          0.10608215 = sum of:
            0.10608215 = weight(_text_:maps in 2678) [ClassicSimilarity], result of:
              0.10608215 = score(doc=2678,freq=2.0), product of:
                0.28477904 = queryWeight, product of:
                  5.619245 = idf(docFreq=435, maxDocs=44218)
                  0.050679237 = queryNorm
                0.37250686 = fieldWeight in 2678, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.619245 = idf(docFreq=435, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2678)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Presents brief accounts of the user based performance measure of relevance and the information system-based performance measure of competence. Relevance and competence are shown to be complex notions that have not been studied cojointly. Reports the results of an experiment that used a geographical information system to illustrate how collecting and analyzing data simultaneously from both system and user views of performance can suggest improvements. The user's view was formed by respondents describing how user needs were met by a geographic information system. The system view of the user was described by the accuracy and time on tasks of subjects as they read and answered questions concerning text and maps. This research generated 2 hypotheses: relevance varies directly with levels of competence and experience, and relevance varies directly with the difficulty of the task. Findings also indicate that through a merged, no fault model, information science can contribute to constructing a holistic view of the system performance by illustrating relationships among factors such as competence and relevance, and by exposing new factors such as expectation