Search (48 results, page 1 of 3)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Informationsdienstleistungen"
  1. Fattahi, R.; Dokhtesmati, M.; Saberi, M.: ¬A survey of internet searching skills among intermediate school students : how librarians can help (2010) 0.08
    0.0801318 = product of:
      0.12019769 = sum of:
        0.058109686 = weight(_text_:search in 4673) [ClassicSimilarity], result of:
          0.058109686 = score(doc=4673,freq=6.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.33256388 = fieldWeight in 4673, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4673)
        0.062088005 = product of:
          0.12417601 = sum of:
            0.12417601 = weight(_text_:engines in 4673) [ClassicSimilarity], result of:
              0.12417601 = score(doc=4673,freq=6.0), product of:
                0.25542772 = queryWeight, product of:
                  5.080822 = idf(docFreq=746, maxDocs=44218)
                  0.05027291 = queryNorm
                0.4861493 = fieldWeight in 4673, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  5.080822 = idf(docFreq=746, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4673)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    The advent and development of the Internet has changed students' pattern of information seeking behaviors. That is also the case in Iran. The current research was carried out by interviewing with and observing of 20 intermediate girl students to assess their information seeking behavior on the web environment through a qualitative approach. Findings indicate an acceptable level of access to the Internet and vast use of web search engines by the girl students in Tehran. However, students' knowledge of the concept and how search engines work and also about the methods and tools of retrieving information from electronic sources other than the search engines is poor. The study also shows that, compared to the Internet, the role of libraries and librarians are gradually diminishing in fulfilling the students' information needs. Authors recommend that school librarians can provide different instructional and information literacy programs to help students improve their information seeking behavior and their knowledge of the Internet.
  2. Bertram, J.: Informationen verzweifelt gesucht : Enterprise Search in österreichischen Großunternehmen (2011) 0.08
    0.07523036 = product of:
      0.11284554 = sum of:
        0.08876401 = weight(_text_:search in 2657) [ClassicSimilarity], result of:
          0.08876401 = score(doc=2657,freq=14.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.5079997 = fieldWeight in 2657, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2657)
        0.024081532 = product of:
          0.048163064 = sum of:
            0.048163064 = weight(_text_:22 in 2657) [ClassicSimilarity], result of:
              0.048163064 = score(doc=2657,freq=4.0), product of:
                0.17604718 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.05027291 = queryNorm
                0.27358043 = fieldWeight in 2657, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2657)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Die Arbeit geht dem Status quo der unternehmensweiten Suche in österreichischen Großunternehmen nach und beleuchtet Faktoren, die darauf Einfluss haben. Aus der Analyse des Ist-Zustands wird der Bedarf an Enterprise-Search-Software abgeleitet und es werden Rahmenbedingungen für deren erfolgreiche Einführung skizziert. Die Untersuchung stützt sich auf eine im Jahr 2009 durchgeführte Onlinebefragung von 469 österreichischen Großunternehmen (Rücklauf 22 %) und daran anschließende Leitfadeninterviews mit zwölf Teilnehmern der Onlinebefragung. Der theoretische Teil verortet die Arbeit im Kontext des Informations- und Wissensmanagements. Der Fokus liegt auf dem Ansatz der Enterprise Search, ihrer Abgrenzung gegenüber der Suche im Internet und ihrem Leistungsspektrum. Im empirischen Teil wird zunächst aufgezeigt, wie die Unternehmen ihre Informationen organisieren und welche Probleme dabei auftreten. Es folgt eine Analyse des Status quo der Informati-onssuche im Unternehmen. Abschließend werden Bekanntheit und Einsatz von Enterprise-Search-Software in der Zielgruppe untersucht sowie für die Einführung dieser Software nötige Rahmenbedingungen benannt. Defizite machen die Befragten insbesondere im Hinblick auf die übergreifende Suche im Unternehmen und die Suche nach Kompetenzträgern aus. Hier werden Lücken im Wissensmanagement offenbar. 29 % der Respondenten der Onlinebefragung geben zu-dem an, dass es in ihren Unternehmen gelegentlich bis häufig zu Fehlentscheidungen infolge defizitärer Informationslagen kommt. Enterprise-Search-Software kommt in 17 % der Unternehmen, die sich an der Onlinebefragung beteiligten, zum Einsatz. Die durch Enterprise-Search-Software bewirkten Veränderungen werden grundsätzlich posi-tiv beurteilt. Alles in allem zeigen die Ergebnisse, dass Enterprise-Search-Strategien nur Erfolg haben können, wenn man sie in umfassende Maßnahmen des Informations- und Wissensmanagements einbettet.
    Date
    22. 1.2016 20:40:31
  3. Franke, F; Klein, A.; Schüller-Zwierlein, A.: Schlüsselkompetenzen : Literatur recherchieren in Bibliotheken und Internet (2010) 0.05
    0.05234187 = product of:
      0.0785128 = sum of:
        0.037957087 = weight(_text_:search in 4721) [ClassicSimilarity], result of:
          0.037957087 = score(doc=4721,freq=4.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.21722981 = fieldWeight in 4721, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.03125 = fieldNorm(doc=4721)
        0.04055571 = product of:
          0.08111142 = sum of:
            0.08111142 = weight(_text_:engines in 4721) [ClassicSimilarity], result of:
              0.08111142 = score(doc=4721,freq=4.0), product of:
                0.25542772 = queryWeight, product of:
                  5.080822 = idf(docFreq=746, maxDocs=44218)
                  0.05027291 = queryNorm
                0.31755137 = fieldWeight in 4721, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  5.080822 = idf(docFreq=746, maxDocs=44218)
                  0.03125 = fieldNorm(doc=4721)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    LCSH
    Web search engines
    Subject
    Web search engines
  4. Smith, C.L.; Matteson, M.L.: Information literacy in the age of machines that learn : desiderata for machines that teach (2018) 0.05
    0.051579654 = product of:
      0.07736948 = sum of:
        0.056935627 = weight(_text_:search in 4954) [ClassicSimilarity], result of:
          0.056935627 = score(doc=4954,freq=4.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.3258447 = fieldWeight in 4954, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.046875 = fieldNorm(doc=4954)
        0.020433856 = product of:
          0.040867712 = sum of:
            0.040867712 = weight(_text_:22 in 4954) [ClassicSimilarity], result of:
              0.040867712 = score(doc=4954,freq=2.0), product of:
                0.17604718 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.05027291 = queryNorm
                0.23214069 = fieldWeight in 4954, 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=4954)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    With the use of machine learning and other advances, modern information search systems make it easy for searchers to access information to meet their most frequent information needs. Building from Kuhlthau's concepts of exploration and differentiating, this article argues that along with the benefits of greater accessibility, these advances impede the development of information literacy, conceptualized as processes for planning, accessing, judging and communicating information. It is argued that information literacy emerges during interaction with search systems and modern system designs hide or render unworkable the contextual information needed for the judgment processes of information literacy. In response to these concerns, the article contributes desiderata for new designs that facilitate the discovery, navigation and use of context information.
    Date
    16. 3.2019 14:33:22
  5. Bertram, J.: Stand der unternehmensweiten Suche in österreichischen Großunternehmen (2013) 0.05
    0.046104938 = product of:
      0.06915741 = sum of:
        0.04025957 = weight(_text_:search in 2658) [ClassicSimilarity], result of:
          0.04025957 = score(doc=2658,freq=2.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.230407 = fieldWeight in 2658, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.046875 = fieldNorm(doc=2658)
        0.028897839 = product of:
          0.057795677 = sum of:
            0.057795677 = weight(_text_:22 in 2658) [ClassicSimilarity], result of:
              0.057795677 = score(doc=2658,freq=4.0), product of:
                0.17604718 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.05027291 = queryNorm
                0.32829654 = fieldWeight in 2658, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2658)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Dass eine erfolgreiche Suche nach im Unternehmen vorhandenen Informationen oftmals schwieriger zu bewerkstelligen ist als eine Suche im Internet, wird in der Privatwirtschaft zunehmend als Problem gesehen. Enterprise Search ist eine Strategie, diesem Problem zu begegnen. In einer Studie mit explorativem Charakter wurde der Frage nachgegangen, wie es um den Stand unternehmensweiten Suche in österreichischen Unternehmen bestellt ist. m Rahmen einer Onlinebefragung wurden dazu im März / April 2009 469 Unternehmen befragt. Es beteiligten sich 104 Unternehmen. Das entspricht einem Rücklauf von 22 %. Dieser Beitrag gibt Auskunft über Status quo der unternehmensweiten Informationsorganisation und -suche in Österreich und benennt unternehmens- bzw. personengebundene Faktoren, die darauf Einfluss haben. Im einzelnen werden Ergebnisse zu folgenden Aspekten präsentiert: Regelung der Informationsorganisation; Anreicherung unstrukturierter Informationen mit Metadaten; Probleme bei der Suche nach unternehmensinternen Informationen; täglicher Zeitaufwand für die Suche; vorhandene, wünschenswerte und benötigte Suchfunktionalitäten; Zufriedenheit mit der Suche und der Informationsorganisation Unternehmen.
    Date
    22. 1.2016 19:00:02
  6. Sahib, N.G.; Tombros, A.; Stockman, T.: ¬A comparative analysis of the information-seeking behavior of visually impaired and sighted searchers (2012) 0.04
    0.037090525 = product of:
      0.11127157 = sum of:
        0.11127157 = weight(_text_:search in 4989) [ClassicSimilarity], result of:
          0.11127157 = score(doc=4989,freq=22.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.6368113 = fieldWeight in 4989, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4989)
      0.33333334 = coord(1/3)
    
    Abstract
    Understanding search behavior is important and leads to more effective interfaces that support searchers throughout the search process. In this article, through an observational user study, we investigate the search behavior of 15 visually impaired and 15 sighted searchers while they complete complex search tasks online. We study complex search tasks because they are challenging, cognitively intensive and affect performance of searchers. We compare the behavior of the two groups of searchers at four stages of the information-seeking process namely, Query Formulation, Search Results Exploration, Query Reformulation, and Search Results Management. For each stage, we identify research questions to investigate the impact of speech-based screen readers on the information-seeking behavior of visually impaired users. Significant differences were observed during query formulation and in the use of query-level support features such as query suggestions and spelling suggestions. In addition, screen-reader users submitted a lower number of queries and displayed comparatively limited exploratory behavior during search results exploration. We investigate how a lack of visual cues affected visually impaired searchers' approach towards query reformulation and observed different strategies to manage and use information encountered during the search process. We discuss the implications that our findings have for the design of search interfaces and propose a set of design guidelines to consider when designing interfaces that are usable and accessible with screen readers. This work also enhances our understanding of search behavior when using an auditory interface and could be useful when designing audio-based information retrieval systems.
  7. Hughes, B.; Wareham, J.; Joshi, I.: Doctors' online information needs, cognitive search strategies, and judgments of information quality and cognitive authority : how predictive judgments introduce bias into cognitive search models (2010) 0.04
    0.035364427 = product of:
      0.10609328 = sum of:
        0.10609328 = weight(_text_:search in 3417) [ClassicSimilarity], result of:
          0.10609328 = score(doc=3417,freq=20.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.60717577 = fieldWeight in 3417, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3417)
      0.33333334 = coord(1/3)
    
    Abstract
    Literature examining information judgments and Internet search behaviors notes a number of major research gaps, including how users actually make these judgments outside of experiments or researcher-defined tasks, and how search behavior is impacted by a user's judgment of online information. Using the medical setting, where doctors face real consequences in applying the information found, we examine how information judgments employed by doctors to mitigate risk impact their cognitive search. Diaries encompassing 444 real clinical information search incidents, combined with semistructured interviews across 35 doctors, were analyzed via thematic analysis. Results show that doctors, though aware of the need for information quality and cognitive authority, rarely make evaluative judgments. This is explained by navigational bias in information searches and via predictive judgments that favor known sites where doctors perceive levels of information quality and cognitive authority. Doctors' mental models of the Internet sites and Web experience relevant to the task type enable these predictive judgments. These results suggest a model connecting online cognitive search and information judgment literatures. Moreover, this implies a need to understand cognitive search through longitudinal- or learning-based views for repeated search tasks, and adaptations to medical practitioner training and tools for online search.
  8. Cleverley, P.H.; Burnett, S.; Muir, L.: Exploratory information searching in the enterprise : a study of user satisfaction and task performance (2017) 0.04
    0.035364427 = product of:
      0.10609328 = sum of:
        0.10609328 = weight(_text_:search in 3319) [ClassicSimilarity], result of:
          0.10609328 = score(doc=3319,freq=20.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.60717577 = fieldWeight in 3319, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3319)
      0.33333334 = coord(1/3)
    
    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.
  9. Lercher, A.: Efficiency of scientific communication : a survey of world science (2010) 0.03
    0.03371857 = product of:
      0.050577857 = sum of:
        0.03354964 = weight(_text_:search in 3997) [ClassicSimilarity], result of:
          0.03354964 = score(doc=3997,freq=2.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.19200584 = fieldWeight in 3997, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3997)
        0.017028214 = product of:
          0.03405643 = sum of:
            0.03405643 = weight(_text_:22 in 3997) [ClassicSimilarity], result of:
              0.03405643 = score(doc=3997,freq=2.0), product of:
                0.17604718 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.05027291 = queryNorm
                0.19345059 = fieldWeight in 3997, 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=3997)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    The aim of this study was to measure the efficiency of the system by which scientists worldwide communicate results to each other, providing one measure of the degree to which the system, including all media, functions well. A randomly selected and representative sample of 246 active research scientists worldwide was surveyed. The main measure was the reported rate of "late finds": scientific literature that would have been useful to scientists' projects if it had been found at the beginning of these projects. The main result was that 46% of the sample reported late finds (±6.25%, p0.05). Among respondents from European Union countries or other countries classified as "high income" by the World Bank, 42% reported late finds. Among respondents from low- and middle-income countries, 56% reported late finds. The 42% rate in high-income countries in 2009 can be compared with results of earlier surveys by Martyn (1964a, b, 1987). These earlier surveys found a rate of 22% late finds in 1963-1964 and a rate of 27% in 1985-1986. Respondents were also queried about search habits, but this study failed to support any explanations for this increase in the rate of late finds. This study also permits a crude estimate of the cost in time and money of the increase in late finds.
  10. Smith, C.L.: Domain-independent search expertise : a description of procedural knowledge gained during guided instruction (2015) 0.03
    0.0328718 = product of:
      0.0986154 = sum of:
        0.0986154 = weight(_text_:search in 2034) [ClassicSimilarity], result of:
          0.0986154 = score(doc=2034,freq=12.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.5643796 = fieldWeight in 2034, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.475677 = idf(docFreq=3718, 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.
  11. Li, Y.; Belkin, N.J.: ¬An exploration of the relationships between work task and interactive information search behavior (2010) 0.03
    0.031630907 = product of:
      0.09489272 = sum of:
        0.09489272 = weight(_text_:search in 3980) [ClassicSimilarity], result of:
          0.09489272 = score(doc=3980,freq=16.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.54307455 = fieldWeight in 3980, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3980)
      0.33333334 = coord(1/3)
    
    Abstract
    This study explores the relationships between work task and interactive information search behavior. Work task was conceptualized based on a faceted classification of task. An experiment was conducted with six work-task types and simulated work-task situations assigned to 24 participants. The results indicate that users present different behavior patterns to approach useful information for different work tasks: They select information systems to search based on the work tasks at hand, different work tasks motivate different types of search tasks, and different facets controlled in the study play different roles in shaping users' interactive information search behavior. The results provide empirical evidence to support the view that work tasks and search tasks play different roles in a user's interaction with information systems and that work task should be considered as a multifaceted variable. The findings provide a possibility to make predictions of a user's information search behavior from his or her work task, and vice versa. Thus, this study sheds light on task-based information seeking and search, and has implications in adaptive information retrieval (IR) and personalization of IR.
  12. Zhang, X.; Liu, J.; Cole, M.; Belkin, N.: Predicting users' domain knowledge in information retrieval using multiple regression analysis of search behaviors (2015) 0.03
    0.031630907 = product of:
      0.09489272 = sum of:
        0.09489272 = weight(_text_:search in 1822) [ClassicSimilarity], result of:
          0.09489272 = score(doc=1822,freq=16.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.54307455 = fieldWeight in 1822, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1822)
      0.33333334 = coord(1/3)
    
    Abstract
    User domain knowledge affects search behaviors and search success. Predicting a user's knowledge level from implicit evidence such as search behaviors could allow an adaptive information retrieval system to better personalize its interaction with users. This study examines whether user domain knowledge can be predicted from search behaviors by applying a regression modeling analysis method. We identify behavioral features that contribute most to a successful prediction model. A user experiment was conducted with 40 participants searching on task topics in the domain of genomics. Participant domain knowledge level was assessed based on the users' familiarity with and expertise in the search topics and their knowledge of MeSH (Medical Subject Headings) terms in the categories that corresponded to the search topics. Users' search behaviors were captured by logging software, which includes querying behaviors, document selection behaviors, and general task interaction behaviors. Multiple regression analysis was run on the behavioral data using different variable selection methods. Four successful predictive models were identified, each involving a slightly different set of behavioral variables. The models were compared for the best on model fit, significance of the model, and contributions of individual predictors in each model. Each model was validated using the split sampling method. The final model highlights three behavioral variables as domain knowledge level predictors: the number of documents saved, the average query length, and the average ranking position of the documents opened. The results are discussed, study limitations are addressed, and future research directions are suggested.
  13. Wan-Chik, R.; Clough, P.; Sanderson, M.: Investigating religious information searching through analysis of a search engine log (2013) 0.03
    0.030007713 = product of:
      0.09002314 = sum of:
        0.09002314 = weight(_text_:search in 1129) [ClassicSimilarity], result of:
          0.09002314 = score(doc=1129,freq=10.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.51520574 = fieldWeight in 1129, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.046875 = fieldNorm(doc=1129)
      0.33333334 = coord(1/3)
    
    Abstract
    In this paper we present results from an investigation of religious information searching based on analyzing log files from a large general-purpose search engine. From approximately 15 million queries, we identified 124,422 that were part of 60,759 user sessions. We present a method for categorizing queries based on related terms and show differences in search patterns between religious searches and web searching more generally. We also investigate the search patterns found in queries related to 5 religions: Christianity, Hinduism, Islam, Buddhism, and Judaism. Different search patterns are found to emerge. Results from this study complement existing studies of religious information searching and provide a level of detailed analysis not reported to date. We show, for example, that sessions involving religion-related queries tend to last longer, that the lengths of religion-related queries are greater, and that the number of unique URLs clicked is higher when compared to all queries. The results of the study can serve to provide information on what this large population of users is actually searching for.
  14. Lin, S.; Xie, I.: Behavioral changes in transmuting multisession successive searches over the web (2013) 0.03
    0.026839714 = product of:
      0.08051914 = sum of:
        0.08051914 = weight(_text_:search in 959) [ClassicSimilarity], result of:
          0.08051914 = score(doc=959,freq=8.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.460814 = fieldWeight in 959, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.046875 = fieldNorm(doc=959)
      0.33333334 = coord(1/3)
    
    Abstract
    Multisession successive information searches are common but little research has focused on quantitative analysis. This article enhances our understanding of successive information searches by employing an experimental method to observe whether and how the behavioral characteristics of searchers statistically significantly changed over sessions. It focuses on a specific type of successive search called transmuting successive searches, in which searchers learn about and gradually refine their information problems during the course of the information search. The results show that searchers' behavioral characteristics indeed exhibit different patterns in different sessions. The identification of the behavioral characteristics can help information retrieval systems to detect stages or sessions of the information search process. The findings also help validate a theoretical framework to explain successive searches and suggest system requirements for supporting the associated search behavior. The study is one of the first to not only test for statistical significance among research propositions concerning successive searches but to also apply the research principles of implicit relevance feedback to successive searches.
  15. Borlund, P.; Dreier, S.: ¬An investigation of the search behaviour associated with Ingwersen's three types of information needs (2014) 0.03
    0.026839714 = product of:
      0.08051914 = sum of:
        0.08051914 = weight(_text_:search in 2691) [ClassicSimilarity], result of:
          0.08051914 = score(doc=2691,freq=8.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.460814 = fieldWeight in 2691, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.046875 = fieldNorm(doc=2691)
      0.33333334 = coord(1/3)
    
    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.
  16. Freund, L.: Contextualizing the information-seeking behavior of software engineers (2015) 0.02
    0.022366427 = product of:
      0.06709928 = sum of:
        0.06709928 = weight(_text_:search in 2120) [ClassicSimilarity], result of:
          0.06709928 = score(doc=2120,freq=8.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.3840117 = fieldWeight in 2120, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2120)
      0.33333334 = coord(1/3)
    
    Abstract
    Information seeking in the workplace can vary substantially from one search to the next due to changes in the context of the search. Modeling these dynamic contextual effects is an important challenge facing the research community because it has the potential to lead to more responsive search systems. With this motivation, a study of software engineers was conducted to understand the role that contextual factors play in shaping their information-seeking behavior. Research was conducted in the field in a large technology company and comprised six unstructured interviews, a focus group, and 13 in-depth, semistructured interviews. Qualitative analysis revealed a set of contextual factors and related information behaviors. Results are formalized in the contextual model of source selection, the main contributions of which are the identification of two types of conditioning variables (requirements and constraints) that mediate between the contextual factors and source-selection decisions, and the articulation of dominant source-selection patterns. The study has implications for the design of context-sensitive search systems in this domain and may inform contextual approaches to information seeking in other professional domains.
  17. Balatsoukas, P.; Demian, P.: Effects of granularity of search results on the relevance judgment behavior of engineers : building systems for retrieval and understanding of context (2010) 0.02
    0.019369897 = product of:
      0.058109686 = sum of:
        0.058109686 = weight(_text_:search in 3419) [ClassicSimilarity], result of:
          0.058109686 = score(doc=3419,freq=6.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.33256388 = fieldWeight in 3419, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3419)
      0.33333334 = coord(1/3)
    
    Abstract
    Granularity is a novel concept for presenting information in search result interfaces of hierarchical query-driven information retrieval systems in a manner that can support understanding and exploration of the context of the retrieved information (e.g., by highlighting its position in the granular hierarchy and exposing its relationship with relatives in the hierarchy). Little research, however, has been conducted on the effects of granularity of search results on the relevance judgment behavior of engineers. Engineers are highly motivated information users who are particularly interested in understanding the context of the retrieved information. Therefore, it is hypothesized that the design of systems with careful regard for granularity would improve engineers' relevance judgment behavior. To test this hypothesis, a prototype system was developed and evaluated in terms of the time needed for users to find relevant information, the accuracy of their relevance judgment, and their subjective satisfaction. To evaluate the prototype, a user study was conducted where participants were asked to complete tasks, complete a satisfaction questionnaire, and be interviewed. The findings showed that participants performed better and were more satisfied when the prototype system presented only relevant information in context. Although this study presents some novel findings about the effects of granularity and context on user relevance judgment behavior, the results should be interpreted with caution. For example, participants in this research were recruited by convenience and performed a set of simulated tasks as opposed to real ones. However, suggestions for further research are presented.
  18. Savolainen, R.: ¬The interplay of affective and cognitive factors in information seeking and use : comparing Kuhlthau's and Nahl's models (2015) 0.02
    0.019369897 = product of:
      0.058109686 = sum of:
        0.058109686 = weight(_text_:search in 1789) [ClassicSimilarity], result of:
          0.058109686 = score(doc=1789,freq=6.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.33256388 = fieldWeight in 1789, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1789)
      0.33333334 = coord(1/3)
    
    Abstract
    Purpose - The purpose of this paper is to elaborate the conceptual picture of the relationships between the affective and cognitive factors in information seeking and use. Design/methodology/approach - Conceptual analysis focusing on the ways in which the affective and cognitive factors and their interplay are approached in the Information Search Process model developed by Carol Kuhlthau, and the Social-Biological Information Technology model elaborated by Diane Nahl. Findings - Kuhlthau's model approaches the cognitive factors (thoughts) and affective factors (feelings) and affective-cognitive factors (mood) as integral constituents of the six-stage information search process. Thoughts determine the valence of feelings (positive or negative), while mood opens or closes the range of possibilities in a search. Nahl's taxonomic model defines the affective and cognitive factors as components of a biologically determined process serving the ends of adaptation to information ecology. The interplay of the above factors is conceptualized by focusing on their mutual roles in the cognitive and affective appraisal of information. Research limitations/implications - The findings are based on the comparison of two models only. Originality/value - So far, information scientists have largely ignored the study of the interplay between affective and cognitive factors in information seeking and use. The findings indicate that the examination of these factors together rather than separately holds a good potential to elaborate the holistic picture of information seeking and use.
  19. Agarwal, N.K.: Exploring context in information behavior : seeker, situation, surroundings, and shared identities (2018) 0.02
    0.017893143 = product of:
      0.053679425 = sum of:
        0.053679425 = weight(_text_:search in 4992) [ClassicSimilarity], result of:
          0.053679425 = score(doc=4992,freq=8.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.30720934 = fieldWeight in 4992, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.03125 = fieldNorm(doc=4992)
      0.33333334 = coord(1/3)
    
    Abstract
    The field of human information behavior runs the gamut of processes from the realization of a need or gap in understanding, to the search for information from one or more sources to fill that gap, to the use of that information to complete a task at hand or to satisfy a curiosity, as well as other behaviors such as avoiding information or finding information serendipitously. Designers of mechanisms, tools, and computer-based systems to facilitate this seeking and search process often lack a full knowledge of the context surrounding the search. This context may vary depending on the job or role of the person; individual characteristics such as personality, domain knowledge, age, gender, perception of self, etc.; the task at hand; the source and the channel and their degree of accessibility and usability; and the relationship that the seeker shares with the source. Yet researchers have yet to agree on what context really means. While there have been various research studies incorporating context, and biennial conferences on context in information behavior, there lacks a clear definition of what context is, what its boundaries are, and what elements and variables comprise context. In this book, we look at the many definitions of and the theoretical and empirical studies on context, and I attempt to map the conceptual space of context in information behavior. I propose theoretical frameworks to map the boundaries, elements, and variables of context. I then discuss how to incorporate these frameworks and variables in the design of research studies on context. We then arrive at a unified definition of context. This book should provide designers of search systems a better understanding of context as they seek to meet the needs and demands of information seekers. It will be an important resource for researchers in Library and Information Science, especially doctoral students looking for one resource that covers an exhaustive range of the most current literature related to context, the best selection of classics, and a synthesis of these into theoretical frameworks and a unified definition. The book should help to move forward research in the field by clarifying the elements, variables, and views that are pertinent. In particular, the list of elements to be considered, and the variables associated with each element will be extremely useful to researchers wanting to include the influences of context in their studies.
  20. Pluye, P.; Grad, R.; Repchinsky, C.; Jovaisas, B.; Johnson-Lafleur, J.; Carrier, M.-E.; Granikov, V.; Farrell, B.; Rodriguez, C.; Bartlett, G.; Loiselle, C.; Légaré, F.: Four levels of outcomes of information-seeking : a mixed methods study in primary health care (2013) 0.02
    0.015815454 = product of:
      0.04744636 = sum of:
        0.04744636 = weight(_text_:search in 534) [ClassicSimilarity], result of:
          0.04744636 = score(doc=534,freq=4.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.27153727 = fieldWeight in 534, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=534)
      0.33333334 = coord(1/3)
    
    Abstract
    Primary health care practitioners routinely search for information within electronic knowledge resources. We proposed four levels of outcomes of information-seeking: situational relevance, cognitive impact, information use, and patient health outcomes. Our objective was to produce clinical vignettes for describing and testing these levels. We conducted a mixed methods study combining a quantitative longitudinal study and a qualitative multiple case study. Participants were 10 nurses, 10 medical residents, and 10 pharmacists. They had access to an online resource, and did 793 searches for treatment recommendations. Using the Information Assessment Method (IAM), participants rated their searches for each of the four levels. Rated searches were examined in interviews guided by log reports and a think-aloud protocol. Cases were defined as clearly described searches where clinical information was used for a specific patient. For each case, interviewees described the four levels of outcomes. Quantitative and qualitative data were merged into clinical vignettes. We produced 130 clinical vignettes. Specifically, 46 vignettes (35.4%) corresponded to clinical situations where information use was associated with one or more than one type of positive patient health outcome: increased patient knowledge (n = 28), avoidance of unnecessary or inappropriate intervention (n = 25), prevention of disease or health deterioration (n = 9), health improvement (n = 6), and increased patient satisfaction (n = 3). Results suggested information use was associated with perceived benefits for patients. This may encourage clinicians to search for information more often when they feel the need. Results supported the four proposed levels of outcomes, which can be transferable to other information-seeking contexts.

Languages

  • e 40
  • d 7

Types

  • a 43
  • m 4
  • el 1
  • x 1
  • More… Less…