Search (65 results, page 1 of 4)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Benutzerstudien"
  1. 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) 0.03
    0.025644375 = product of:
      0.064110935 = sum of:
        0.0100103095 = weight(_text_:a in 1540) [ClassicSimilarity], result of:
          0.0100103095 = score(doc=1540,freq=12.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.18723148 = fieldWeight in 1540, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=1540)
        0.054100625 = sum of:
          0.016407004 = weight(_text_:information in 1540) [ClassicSimilarity], result of:
            0.016407004 = score(doc=1540,freq=6.0), product of:
              0.08139861 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046368346 = queryNorm
              0.20156369 = fieldWeight in 1540, product of:
                2.4494898 = tf(freq=6.0), with freq of:
                  6.0 = termFreq=6.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046875 = fieldNorm(doc=1540)
          0.037693623 = weight(_text_:22 in 1540) [ClassicSimilarity], result of:
            0.037693623 = score(doc=1540,freq=2.0), product of:
              0.16237405 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046368346 = 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)
      0.4 = coord(2/5)
    
    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
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.12, S.2381-2403
    Type
    a
  2. Mizrachi, D.; Bates, M.J.: Undergraduates' personal academic information management and the consideration of time and task-urgency (2013) 0.02
    0.02364304 = product of:
      0.059107598 = sum of:
        0.0068111527 = weight(_text_:a in 1003) [ClassicSimilarity], result of:
          0.0068111527 = score(doc=1003,freq=8.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.12739488 = fieldWeight in 1003, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1003)
        0.052296445 = sum of:
          0.020885091 = weight(_text_:information in 1003) [ClassicSimilarity], result of:
            0.020885091 = score(doc=1003,freq=14.0), product of:
              0.08139861 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046368346 = queryNorm
              0.256578 = fieldWeight in 1003, product of:
                3.7416575 = tf(freq=14.0), with freq of:
                  14.0 = termFreq=14.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0390625 = fieldNorm(doc=1003)
          0.031411353 = weight(_text_:22 in 1003) [ClassicSimilarity], result of:
            0.031411353 = score(doc=1003,freq=2.0), product of:
              0.16237405 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046368346 = 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)
      0.4 = coord(2/5)
    
    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.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.8, S.1590-1607
    Type
    a
  3. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.02
    0.02318735 = product of:
      0.057968374 = sum of:
        0.010769378 = weight(_text_:a in 1177) [ClassicSimilarity], result of:
          0.010769378 = score(doc=1177,freq=20.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.20142901 = fieldWeight in 1177, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1177)
        0.047198996 = sum of:
          0.015787644 = weight(_text_:information in 1177) [ClassicSimilarity], result of:
            0.015787644 = score(doc=1177,freq=8.0), product of:
              0.08139861 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046368346 = 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)
          0.031411353 = weight(_text_:22 in 1177) [ClassicSimilarity], result of:
            0.031411353 = score(doc=1177,freq=2.0), product of:
              0.16237405 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046368346 = 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)
      0.4 = coord(2/5)
    
    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
    Type
    a
  4. 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) 0.02
    0.022225363 = product of:
      0.055563405 = sum of:
        0.0048162127 = weight(_text_:a in 2680) [ClassicSimilarity], result of:
          0.0048162127 = score(doc=2680,freq=4.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.090081796 = fieldWeight in 2680, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2680)
        0.050747193 = sum of:
          0.019335838 = weight(_text_:information in 2680) [ClassicSimilarity], result of:
            0.019335838 = score(doc=2680,freq=12.0), product of:
              0.08139861 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046368346 = 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)
          0.031411353 = weight(_text_:22 in 2680) [ClassicSimilarity], result of:
            0.031411353 = score(doc=2680,freq=2.0), product of:
              0.16237405 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046368346 = 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)
      0.4 = coord(2/5)
    
    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
    Type
    a
  5. Westman, S.; Laine-Hernandez, M.; Oittinen, P.: Development and evaluation of a multifaceted magazine image categorization model (2011) 0.02
    0.020366732 = product of:
      0.05091683 = sum of:
        0.008341924 = weight(_text_:a in 4193) [ClassicSimilarity], result of:
          0.008341924 = score(doc=4193,freq=12.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.15602624 = fieldWeight in 4193, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4193)
        0.042574905 = sum of:
          0.011163551 = weight(_text_:information in 4193) [ClassicSimilarity], result of:
            0.011163551 = score(doc=4193,freq=4.0), product of:
              0.08139861 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046368346 = queryNorm
              0.13714671 = fieldWeight in 4193, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0390625 = fieldNorm(doc=4193)
          0.031411353 = weight(_text_:22 in 4193) [ClassicSimilarity], result of:
            0.031411353 = score(doc=4193,freq=2.0), product of:
              0.16237405 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046368346 = 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)
      0.4 = coord(2/5)
    
    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
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.295-313
    Type
    a
  6. Griesbaum, J.; Mahrholz, N.; Kiedrowski, K. von Löwe; Rittberger, M.: Knowledge generation in online forums : a case study in the German educational domain (2015) 0.02
    0.018675933 = product of:
      0.04668983 = sum of:
        0.006092081 = weight(_text_:a in 4440) [ClassicSimilarity], result of:
          0.006092081 = score(doc=4440,freq=10.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.11394546 = fieldWeight in 4440, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=4440)
        0.04059775 = sum of:
          0.01546867 = weight(_text_:information in 4440) [ClassicSimilarity], result of:
            0.01546867 = score(doc=4440,freq=12.0), product of:
              0.08139861 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046368346 = queryNorm
              0.19003606 = fieldWeight in 4440, product of:
                3.4641016 = tf(freq=12.0), with freq of:
                  12.0 = termFreq=12.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.03125 = fieldNorm(doc=4440)
          0.025129084 = weight(_text_:22 in 4440) [ClassicSimilarity], result of:
            0.025129084 = score(doc=4440,freq=2.0), product of:
              0.16237405 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046368346 = 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)
      0.4 = coord(2/5)
    
    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
    Source
    Aslib journal of information management. 67(2015) no.1, S.2-26
    Type
    a
  7. Beaudoin, J.E.: Content-based image retrieval methods and professional image users (2016) 0.02
    0.018446533 = product of:
      0.04611633 = sum of:
        0.0068111527 = weight(_text_:a in 2637) [ClassicSimilarity], result of:
          0.0068111527 = score(doc=2637,freq=8.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.12739488 = fieldWeight in 2637, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2637)
        0.039305177 = sum of:
          0.007893822 = weight(_text_:information in 2637) [ClassicSimilarity], result of:
            0.007893822 = score(doc=2637,freq=2.0), product of:
              0.08139861 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046368346 = queryNorm
              0.09697737 = fieldWeight in 2637, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2637)
          0.031411353 = weight(_text_:22 in 2637) [ClassicSimilarity], result of:
            0.031411353 = score(doc=2637,freq=2.0), product of:
              0.16237405 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046368346 = 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)
      0.4 = coord(2/5)
    
    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
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.2, S.350-365
    Type
    a
  8. Borlund, P.; Dreier, S.: ¬An investigation of the search behaviour associated with Ingwersen's three types of information needs (2014) 0.01
    0.009114747 = product of:
      0.022786867 = sum of:
        0.007078358 = weight(_text_:a in 2691) [ClassicSimilarity], result of:
          0.007078358 = score(doc=2691,freq=6.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.13239266 = fieldWeight in 2691, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=2691)
        0.015708508 = product of:
          0.031417016 = sum of:
            0.031417016 = weight(_text_:information in 2691) [ClassicSimilarity], result of:
              0.031417016 = score(doc=2691,freq=22.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.38596505 = fieldWeight in 2691, 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=2691)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    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
    Type
    a
  9. Nicholas, D.; Clark, D.; Rowlands, I.; Jamali, H.R.: Information on the go : a case study of Europeana mobile users (2013) 0.01
    0.008340417 = product of:
      0.020851042 = sum of:
        0.009010308 = weight(_text_:a in 961) [ClassicSimilarity], result of:
          0.009010308 = score(doc=961,freq=14.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.1685276 = fieldWeight in 961, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=961)
        0.011840734 = product of:
          0.023681467 = sum of:
            0.023681467 = weight(_text_:information in 961) [ClassicSimilarity], result of:
              0.023681467 = score(doc=961,freq=18.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.2909321 = fieldWeight in 961, 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=961)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    According to estimates the mobile device will soon be the main platform for searching the web, and yet our knowledge of how mobile consumers use information, and how that differs from desktops/laptops users, is imperfect. The paper sets out to correct this through an analysis of the logs of a major cultural website, Europeana. The behavior of nearly 70,000 mobile users was examined over a period of more than a year and compared with that for PC users of the same site and for the same period. The analyses conducted include: size and growth of use, time patterns of use; geographical location of users, digital collections used; comparative information-seeking behavior using dashboard metrics, clustering of users according to their information seeking, and user satisfaction. The main findings were that mobile users were the fastest-growing group and will rise rapidly to a million by December 2012 and that their visits were very different in the aggregate from those arising from fixed platforms. Mobile visits could be described as being information "lite": typically shorter, less interactive, and less content viewed per visit. Use took a social rather than office pattern, with mobile use peaking at nights and weekends. The variation between different mobile devices was large, with information seeking on the iPad similar to that for PCs and laptops and that for smartphones very different indeed. The research further confirms that information-seeking behavior is platform-specific and the latest platforms are changing it all again. Websites will have to adapt.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1311-1322
    Theme
    Information Gateway
    Type
    a
  10. MacFarlane, A.; Al-Wabil, A.; Marshall, C.R.; Albrair, A.; Jones, S.A.; Zaphiris, P.: ¬The effect of dyslexia on information retrieval : a pilot study (2010) 0.01
    0.00826371 = product of:
      0.020659275 = sum of:
        0.01021673 = weight(_text_:a in 3624) [ClassicSimilarity], result of:
          0.01021673 = score(doc=3624,freq=18.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.19109234 = fieldWeight in 3624, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3624)
        0.010442546 = product of:
          0.020885091 = sum of:
            0.020885091 = weight(_text_:information in 3624) [ClassicSimilarity], result of:
              0.020885091 = score(doc=3624,freq=14.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.256578 = fieldWeight in 3624, product of:
                  3.7416575 = tf(freq=14.0), with freq of:
                    14.0 = termFreq=14.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3624)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    Purpose - The purpose of this paper is to resolve a gap in the knowledge of how people with dyslexia interact with information retrieval (IR) systems, specifically an understanding of their information-searching behaviour. Design/methodology/approach - The dyslexia cognitive profile is used to design a logging system, recording the difference between two sets of participants: dyslexic and control users. A standard Okapi interface is used - together with two standard TREC topics - in order to record the information searching behaviour of these users. Findings - Using the log data, the differences in information-searching behaviour of control and dyslexic users, i.e. in the way the two groups interact with Okapi, are established and it also established that qualitative information collected (such as experience etc.) may not be able to account for these differences. Evidence from query variables was unable to distinguish between groups, but differences on topic for the same variables were recorded. Users who view more documents tended to judge more documents as being relevant, in terms of either the user group or topic. Session data indicated that there may be an important difference between the number of iterations used in a search between the user groups, as there may be little effect from the topic on this variable. Originality/value - This is the first study of the effect of dyslexia on information search behaviour, and it provides some evidence to take the field forward.
    Type
    a
  11. Niu, X.; Hemminger, B.M.: ¬A study of factors that affect the information-seeking behavior of academic scientists (2012) 0.01
    0.007843765 = product of:
      0.019609414 = sum of:
        0.007078358 = weight(_text_:a in 4986) [ClassicSimilarity], result of:
          0.007078358 = score(doc=4986,freq=6.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.13239266 = fieldWeight in 4986, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=4986)
        0.012531055 = product of:
          0.02506211 = sum of:
            0.02506211 = weight(_text_:information in 4986) [ClassicSimilarity], result of:
              0.02506211 = score(doc=4986,freq=14.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.3078936 = fieldWeight in 4986, 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=4986)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    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.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.336-353
    Type
    a
  12. Gregory, K.; Groth, P.; Cousijn, H.; Scharnhorst, A.; Wyatt, S.: Searching data : a review of observational data retrieval practices in selected disciplines (2019) 0.01
    0.007797272 = product of:
      0.01949318 = sum of:
        0.011678694 = weight(_text_:a in 5216) [ClassicSimilarity], result of:
          0.011678694 = score(doc=5216,freq=12.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.21843673 = fieldWeight in 5216, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5216)
        0.007814486 = product of:
          0.015628971 = sum of:
            0.015628971 = weight(_text_:information in 5216) [ClassicSimilarity], result of:
              0.015628971 = score(doc=5216,freq=4.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.1920054 = fieldWeight in 5216, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=5216)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    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.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.5, S.419-432
    Type
    a
  13. Waller, V.: Not just information : who searches for what on the search engine Google? (2011) 0.01
    0.0077931583 = product of:
      0.019482896 = sum of:
        0.0100103095 = weight(_text_:a in 4373) [ClassicSimilarity], result of:
          0.0100103095 = score(doc=4373,freq=12.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.18723148 = fieldWeight in 4373, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=4373)
        0.009472587 = product of:
          0.018945174 = sum of:
            0.018945174 = weight(_text_:information in 4373) [ClassicSimilarity], result of:
              0.018945174 = score(doc=4373,freq=8.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.23274569 = fieldWeight in 4373, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4373)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    This paper reports on a transaction log analysis of the type and topic of search queries entered into the search engine Google (Australia). Two aspects, in particular, set this apart from previous studies: the sampling and analysis take account of the distribution of search queries, and lifestyle information of the searcher was matched with each search query. A surprising finding was that there was no observed statistically significant difference in search type or topics for different segments of the online population. It was found that queries about popular culture and Ecommerce accounted for almost half of all search engine queries and that half of the queries were entered with a particular Website in mind. The findings of this study also suggest that the Internet search engine is not only an interface to information or a shortcut to Websites, it is equally a site of leisure. This study has implications for the design and evaluation of search engines as well as our understanding of search engine use.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.4, S.761-775
    Type
    a
  14. Vuong, T.; Saastamoinen, M.; Jacucci, G.; Ruotsalo, T.: Understanding user behavior in naturalistic information search tasks (2019) 0.01
    0.007782334 = product of:
      0.019455835 = sum of:
        0.0076151006 = weight(_text_:a in 5419) [ClassicSimilarity], result of:
          0.0076151006 = score(doc=5419,freq=10.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.14243183 = fieldWeight in 5419, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5419)
        0.011840734 = product of:
          0.023681467 = sum of:
            0.023681467 = weight(_text_:information in 5419) [ClassicSimilarity], result of:
              0.023681467 = score(doc=5419,freq=18.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = 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)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    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
    Type
    a
  15. McKay, D.; Chang, S.; Smith, W.; Buchanan, G.: ¬The things we talk about when we talk about browsing : an empirical typology of library browsing behavior (2019) 0.01
    0.007616916 = product of:
      0.01904229 = sum of:
        0.01021673 = weight(_text_:a in 5440) [ClassicSimilarity], result of:
          0.01021673 = score(doc=5440,freq=18.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.19109234 = fieldWeight in 5440, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5440)
        0.008825562 = product of:
          0.017651124 = sum of:
            0.017651124 = weight(_text_:information in 5440) [ClassicSimilarity], result of:
              0.017651124 = score(doc=5440,freq=10.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.21684799 = fieldWeight in 5440, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5440)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    Libraries increasingly offer much of their collection online, rendering it invisible or unavailable to readers who, for reasons of information experience, prefer to browse the shelves. Although the evidence that shelf browsing is an important part of information behavior is increasing, information browsing as a behavior is somewhat of a black box (in contrast to web browsing, which is relatively well understood). It seems likely from early work that browsing is not, in fact, a monolithic behavior, but rather a set of behaviors and goals. The typologies presented in these works, however, are of a too high level to offer much insight into what support is needed for successful online browsing. In contrast, a recent spate of speculative browsing technologies meet some browsing needs, but offer little theoretical understanding of how systems support browsing. The major contribution of this article is a new typology of library browsing behavior based on recent observations of browsing behavior in libraries. The secondary contribution is an understanding of the interface features that would support these types of information browsers in an online environment.
    Footnote
    Part of a special issue for research on people's engagement with technology.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.12, S.1383-1394
    Type
    a
  16. Gwizdka, J.: Distribution of cognitive load in Web search (2010) 0.01
    0.007471291 = product of:
      0.018678227 = sum of:
        0.009010308 = weight(_text_:a in 4095) [ClassicSimilarity], result of:
          0.009010308 = score(doc=4095,freq=14.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.1685276 = fieldWeight in 4095, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4095)
        0.009667919 = product of:
          0.019335838 = sum of:
            0.019335838 = weight(_text_:information in 4095) [ClassicSimilarity], result of:
              0.019335838 = score(doc=4095,freq=12.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.23754507 = fieldWeight in 4095, 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=4095)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    The search task and the system both affect the demand on cognitive resources during information search. In some situations the demands may become too high for a person. This article has a three-fold goal. First, it presents and critiques methods to measure cognitive load. Second, it explores the distribution of load across search task stages. Finally, it seeks to improve our understanding of factors affecting cognitive load levels in information search. To this end, a controlled Web search experiment with 48 participants was conducted. Interaction logs were used to segment search tasks semiautomatically into task stages. Cognitive load was assessed using a new variant of the dual-task method. Average cognitive load was found to vary by search task stages. It was significantly higher during query formulation and user description of a relevant document as compared to examining search results and viewing individual documents. Semantic information shown next to the search results lists in one of the studied interfaces was found to decrease mental demands during query formulation and examination of the search results list. These findings demonstrate that changes in dynamic cognitive load can be detected within search tasks. Dynamic assessment of cognitive load is of core interest to information science because it enriches our understanding of cognitive demands imposed on people engaged in the search process by a task and the interactive information retrieval system employed.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.11, S.2167-2187
    Type
    a
  17. Watson, C.: ¬An exploratory study of secondary students' judgments of the relevance and reliability of information (2014) 0.01
    0.0072230585 = product of:
      0.018057646 = sum of:
        0.0076151006 = weight(_text_:a in 1305) [ClassicSimilarity], result of:
          0.0076151006 = score(doc=1305,freq=10.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.14243183 = fieldWeight in 1305, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1305)
        0.010442546 = product of:
          0.020885091 = sum of:
            0.020885091 = weight(_text_:information in 1305) [ClassicSimilarity], result of:
              0.020885091 = score(doc=1305,freq=14.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.256578 = fieldWeight in 1305, product of:
                  3.7416575 = tf(freq=14.0), with freq of:
                    14.0 = termFreq=14.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1305)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    This qualitative investigation is situated in the field of information seeking and use, and decision-making theory provided a framework for the study. In a naturalistic setting and across a range of curriculum areas, it investigated the behavior of secondary school students undertaking information search tasks. Research questions focused on students' criteria for assessing the relevance and reliability of information. Thirty-seven students between 14 and 17 years of age from a southeastern Australian school participated. The study collected data from journals; interviews, including video-stimulated recall interviews; think-aloud reports; video screen captures; and questionnaires. Data analysis culminated in grounded theory. Initial judgments of an item's relevance were based on comprehensibility, completeness of source, whether the item needed to be purchased, whether video sources were suitable, and whether factual or opinionative material met students' needs. Participants preferred information that provided topic overviews, information that linked to prior knowledge, and sources that treated topics in acceptable depth and were structured to facilitate accessibility. Students derived clues about reliability from URLs and considered the reputation of sources. The ability of an item to corroborate prior knowledge, its graphic design, its style of writing, and the perceived authority of its creators influenced participants' decisions about reliability.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1385-1408
    Type
    a
  18. Williams, P.; Hennig, C.: Effect of web page menu orientation on retrieving information by people with learning disabilities (2015) 0.01
    0.0070104985 = product of:
      0.017526247 = sum of:
        0.009632425 = weight(_text_:a in 1723) [ClassicSimilarity], result of:
          0.009632425 = score(doc=1723,freq=16.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.18016359 = fieldWeight in 1723, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1723)
        0.007893822 = product of:
          0.015787644 = sum of:
            0.015787644 = weight(_text_:information in 1723) [ClassicSimilarity], result of:
              0.015787644 = score(doc=1723,freq=8.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.19395474 = fieldWeight in 1723, 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=1723)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    The Internet facilitates the provision of accessible information to people with learning disabilities. However, problems with navigation and retrieval represent a barrier for this cohort. This article addresses one aspect of page design, testing whether a horizontal or vertical contents arrangement facilitates faster access to content for people with learning disabilities. Participants were timed as they looked for one-word "dummy" menu entries appearing in various locations along a horizontal or vertical grid. The words corresponded to images shown at random in a word-search type activity. Results were analyzed using mixed effects models. Results showed that mean search times increased as the position shifted from left to right and from top to bottom. Thus, participants undertook the test as if it were a reading exercise, despite the images appearing in the center of the page and the words appearing at random positions. The research also suggests that a horizontal menu may be more effective than a vertical one, with the most important links placed on the left. The propensity to imbibe information "serially" (word-for-word) rather than to skim or look "globally" has important website design implications.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.4, S.674-683
    Type
    a
  19. Cleverley, P.H.; Burnett, S.; Muir, L.: Exploratory information searching in the enterprise : a study of user satisfaction and task performance (2017) 0.01
    0.0070104985 = product of:
      0.017526247 = sum of:
        0.009632425 = weight(_text_:a in 3319) [ClassicSimilarity], result of:
          0.009632425 = score(doc=3319,freq=16.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.18016359 = fieldWeight in 3319, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3319)
        0.007893822 = product of:
          0.015787644 = sum of:
            0.015787644 = weight(_text_:information in 3319) [ClassicSimilarity], result of:
              0.015787644 = score(doc=3319,freq=8.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.19395474 = fieldWeight in 3319, 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=3319)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    No prior research has been identified that investigates the causal factors for workplace exploratory search task performance. The impact of user, task, and environmental factors on user satisfaction and task performance was investigated through a mixed methods study with 26 experienced information professionals using enterprise search in an oil and gas enterprise. Some participants found 75% of high-value items, others found none, with an average of 27%. No association was found between self-reported search expertise and task performance, with a tendency for many participants to overestimate their search expertise. Successful searchers may have more accurate mental models of both search systems and the information space. Organizations may not have effective exploratory search task performance feedback loops, a lack of learning. This may be caused by management bias towards technology, not capability, a lack of systems thinking. Furthermore, organizations may not "know" they "don't know" their true level of search expertise, a lack of knowing. A metamodel is presented identifying the causal factors for workplace exploratory search task performance. Semistructured qualitative interviews with search staff from the defense, pharmaceutical, and aerospace sectors indicates the potential transferability of the finding that organizations may not know their search expertise levels.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.62-76
    Type
    a
  20. Yuan, X.; Belkin, N.J.: Investigating information retrieval support techniques for different information-seeking strategies (2010) 0.01
    0.0069132075 = product of:
      0.017283019 = sum of:
        0.0076151006 = weight(_text_:a in 3699) [ClassicSimilarity], result of:
          0.0076151006 = score(doc=3699,freq=10.0), product of:
            0.053464882 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046368346 = queryNorm
            0.14243183 = fieldWeight in 3699, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3699)
        0.009667919 = product of:
          0.019335838 = sum of:
            0.019335838 = weight(_text_:information in 3699) [ClassicSimilarity], result of:
              0.019335838 = score(doc=3699,freq=12.0), product of:
                0.08139861 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046368346 = queryNorm
                0.23754507 = fieldWeight in 3699, 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=3699)
          0.5 = coord(1/2)
      0.4 = coord(2/5)
    
    Abstract
    We report on a study that investigated the efficacy of four different interactive information retrieval (IIR) systems, each designed to support a specific information-seeking strategy (ISS). These systems were constructed using different combinations of IR techniques (i.e., combinations of different methods of representation, comparison, presentation and navigation), each of which was hypothesized to be well suited to support a specific ISS. We compared the performance of searchers in each such system, designated experimental, to an appropriate baseline system, which implemented the standard specified query and results list model of current state-of-the-art experimental and operational IR systems. Four within-subjects experiments were conducted for the purpose of this comparison. Results showed that each of the experimental systems was superior to its baseline system in supporting user performance for the specific ISS (that is, the information problem leading to that ISS) for which the system was designed. These results indicate that an IIR system, which intends to support more than one kind of ISS, should be designed within a framework which allows the use and combination of different IR support techniques for different ISSs.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1543-1563
    Type
    a

Languages

  • e 59
  • d 6

Types

  • a 64
  • el 1
  • More… Less…