Search (3 results, page 1 of 1)

  • × theme_ss:"Benutzerstudien"
  • × year_i:[1990 TO 2000}
  • × theme_ss:"Suchmaschinen"
  1. Large, A.; Beheshti, J.; Moukdad, H.: Information seeking on the Web : navigational skills of grade-six primary school students (1999) 0.00 
    0.0028047764 = product of:
  0.005609553 = sum of:
    0.005609553 = product of:
      0.011219106 = sum of:
        0.011219106 = weight(_text_:a in 6545) [ClassicSimilarity], result of:
          0.011219106 = score(doc=6545,freq=22.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.21126054 = fieldWeight in 6545, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=6545)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    Reports on research into the information-seeking habits of primary schoolchildren conducted under operational conditions. Three workstations with Internet access were installed in a grade-six classroom in suburban Montreal. After a short introductory training session for the entire group followed by short individual sessions for each student, 53 students, working in small groups, used these workstations over a six-week period to seek information on the Web of relevance to a class project assigned by their teacher. The project dealt with the Winter Olympic Games (recently completed at that time). The student objective was to locate relevant information for a poster and an oral presentation on one of the sports represented at the Games. All screen activity was directly captured on videotape and group conversations at the workstation were audiotaped. Demographic and computer literacy information was gathered in a questionnaire. This paper presents a map of the information-seeking landscape based upon an analysis of the descriptive statistics gathered from the Web searches. It reveals that the novice users favored browsing over analytic search strategies, although they did show some sophistication in the construction of the latter. Online help was ignored. The children demonstrated a very high level of interactivity with the interface at the expense of thinking, planning and evaluating. This is a preliminary analysis of data which will subsequently be expanded by the inclusion of qualitative data
    Type
    a
  2. Nahl, D.: Ethnography of novices' first use of Web search engines : affective control in cognitive processing (1998) 0.00 
    0.0020296127 = product of:
  0.0040592253 = sum of:
    0.0040592253 = product of:
      0.008118451 = sum of:
        0.008118451 = weight(_text_:a in 2131) [ClassicSimilarity], result of:
          0.008118451 = score(doc=2131,freq=8.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.15287387 = fieldWeight in 2131, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=2131)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    Reports results of a study, conducted at Hawaii University, Department of Information and Computer Science, to understand the novide searchers' experience in learning to use a WWW search engine. Without prior searching instruction, undergraduate novives wrote structured self reports during their first session on a Web search engine. Users choose their own topics and followed written instructions that prompted them to describe thoughts and feelings during specified stages of the search; pre search formulation; search statement formulation; search strategy; and evaluation of the results. The sentences in the self reports were numbered and then coded according to their affective or cognitive function. The affective sentences reveal how users set goals and limit the scope of the cognitive operations. Search acts appear to be governed by an affective filter that organizes incoming information and provides criteria for ranking cognitive relevance to search goal. Content analysis identifies reasons users have for rating self confidence, stress level, satisfaction, usefulness, and success with future searches
    Type
    a
  3. Su, L.T.; Chen, H.L.: Evaluation of Web search engines by undergraduate students (1999) 0.00 
    0.001353075 = product of:
  0.00270615 = sum of:
    0.00270615 = product of:
      0.0054123 = sum of:
        0.0054123 = weight(_text_:a in 6546) [ClassicSimilarity], result of:
          0.0054123 = score(doc=6546,freq=8.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.10191591 = fieldWeight in 6546, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=6546)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    This research continues to explore the user's evaluation of Web search engines using a methodology proposed by Su (1997) and tested in a pilot study (Su, Chen, & Dong, 1998). It seeks to generate useful insight for system design and improvement, and for engine choice. The researchers were interested in how undergraduate students used four selected engines to retrieve information for their studies or personal interests and how they evaluated the interaction and search results retrieved by the four engines. Measures used were based on five evaluation criteria: relevance, efficiency, utility, user satisfaction, and connectivity. Thirty-six undergraduate juniors and seniors were recruited from the disciplines of sciences, social sciences and humanities. Each searched his/her own topic on all four engines in an assigned order and each made relevance judgements of retrieved items in relation to his/her information need or problem. The study found some significant differences among the four engines but none dominated in every aspect of the multidimensional evaluation. Alta Vista had the highest number of relevant and partially relevant documents, the best relative recall and the highest precision ratio based on PR1, Alter Vista had significantly better scores for these three measures than for Lycos. Infoseek had the highest satisfaction rating for response time. Both Infoseek and Excite had significantly higher satisfaction ratings for response time than Lycos. Excite had the best score for output display. Excite and Alta Vista had significantly better scores for output display than Lycos. Excite had the best rating for time saving while Alta Vista achieved the best score for value of search results as a whole and for overall performance. Alta Vista and Excite had significantly better ratings for these three measures than Lycos. Lycos achieved the best relevance ranking performance. Further work will provide more complete picture for engine comparison and choice by taking into account participant characteristics and identify factors contributing to the user's satisfaction to gain better insight for system design and improvement
    Type
    a

Authors