Search (4 results, page 1 of 1)

  • × theme_ss:"Suchtaktik"
  • × year_i:[2020 TO 2030}
  1. Berget, G.; MacFarlane, A.: What Is known about the impact of impairments on information seeking and searching? (2020) 0.01
    0.0061617517 = product of:
      0.049294014 = sum of:
        0.049294014 = weight(_text_:studies in 5817) [ClassicSimilarity], result of:
          0.049294014 = score(doc=5817,freq=4.0), product of:
            0.15812531 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.03962768 = queryNorm
            0.3117402 = fieldWeight in 5817, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5817)
      0.125 = coord(1/8)
    
    Abstract
    Information seeking and access are essential for users in all walks of life, from addressing personal needs such as finding flights to locating information needed to complete work tasks. Over the past decade or so, the general needs of people with impairments have increasingly been recognized as something to be addressed, an issue embedded both in international treaties and in state legislation. The same tendency can be found in research, where a growing number of user studies including people with impairments have been conducted. The purpose of these studies is typically to uncover potential barriers for access to information, especially in the context of inaccessible search user interfaces. This literature review provides an overview of research on the information seeking and searching of users with impairments. The aim is to provide an overview to both researchers and practitioners who work with any of the user groups identified. Some diagnoses are relatively well represented in the literature (for instance, visual impairment), but there is very little work in other areas (for instance, autism) and in some cases no work at all (for instance, aphasia). Gaps are identified in the research, and suggestions are made regarding areas where further research is needed.
  2. Granikov, V.; El Sherif, R.; Bouthillier, F.; Pluye, P.: Factors and outcomes of collaborative information seeking : a mixed studies review with a framework synthesis (2022) 0.01
    0.0061617517 = product of:
      0.049294014 = sum of:
        0.049294014 = weight(_text_:studies in 528) [ClassicSimilarity], result of:
          0.049294014 = score(doc=528,freq=4.0), product of:
            0.15812531 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.03962768 = queryNorm
            0.3117402 = fieldWeight in 528, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=528)
      0.125 = coord(1/8)
    
    Abstract
    Despite being necessary, keeping up to date with new information and trends remains challenging in many fields due to information overload, time constraints, and insufficient evaluation skills. Collaboration, or sharing the effort among group members, may be a solution, but more knowledge is needed. To guide future research on the potential role of collaboration in keeping up to date, we conducted a systematic literature review with a framework synthesis aimed to adapt the conceptual framework for environmental scanning to a collaborative context. Our specific objectives were to identify the factors and outcomes of collaborative information seeking (CIS) and use them to propose an adapted conceptual framework. Fifty-one empirical studies were included and synthesized using a hybrid thematic synthesis. The adapted framework includes seven types of influencing factors and five types of outcomes. Our review contributes to the theoretical expansion of knowledge on CIS in general and provides a conceptual framework to study collaboration in keeping up to date. Overall, our findings will be useful to researchers, practitioners, team leaders, and system designers implementing and evaluating collaborative information projects.
  3. Dumitrescu, A.; Santini, S.: Full coverage of a reader's interests in context-based information filtering (2021) 0.00
    0.0039860546 = product of:
      0.031888437 = sum of:
        0.031888437 = product of:
          0.06377687 = sum of:
            0.06377687 = weight(_text_:area in 327) [ClassicSimilarity], result of:
              0.06377687 = score(doc=327,freq=2.0), product of:
                0.1952553 = queryWeight, product of:
                  4.927245 = idf(docFreq=870, maxDocs=44218)
                  0.03962768 = queryNorm
                0.32663327 = fieldWeight in 327, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.927245 = idf(docFreq=870, maxDocs=44218)
                  0.046875 = fieldNorm(doc=327)
          0.5 = coord(1/2)
      0.125 = coord(1/8)
    
    Abstract
    We present a collection of algorithms to filter a stream of documents in such a way that the filtered documents will cover as well as possible the interest of a person, keeping in mind that, at any given time, the offered documents should not only be relevant, but should also be diversified, in the sense of covering all the interests of the person. We use a modification of the WEBSOM algorithm to create a user model based on a self-organizing network trained using a collection of documents representative of the person's interests. We introduce the concepts of freshness and coverage. A document is fresh if it belongs to a semantic area of interest to a person for which no documents were seen in the recent past; a group of documents has coverage to the extent to which it is a good representation of all the interests of a person. Our tests show that these algorithms can effectively increase the coverage of the documents that are shown to the user without overly affecting precision.
  4. Hoeber, O.: ¬A study of visually linked keywords to support exploratory browsing in academic search (2022) 0.00
    0.0035436437 = product of:
      0.02834915 = sum of:
        0.02834915 = weight(_text_:libraries in 644) [ClassicSimilarity], result of:
          0.02834915 = score(doc=644,freq=2.0), product of:
            0.13017908 = queryWeight, product of:
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.03962768 = queryNorm
            0.2177704 = fieldWeight in 644, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2850544 = idf(docFreq=4499, maxDocs=44218)
              0.046875 = fieldNorm(doc=644)
      0.125 = coord(1/8)
    
    Abstract
    While the search interfaces used by common academic digital libraries provide easy access to a wealth of peer-reviewed literature, their interfaces provide little support for exploratory browsing. When faced with a complex search task (such as one that requires knowledge discovery), exploratory browsing is an important first step in an exploratory search process. To more effectively support exploratory browsing, we have designed and implemented a novel academic digital library search interface (KLink Search) with two new features: visually linked keywords and an interactive workspace. To study the potential value of these features, we have conducted a controlled laboratory study with 32 participants, comparing KLink Search to a baseline digital library search interface modeled after that used by IEEE Xplore. Based on subjective opinions, objective performance, and behavioral data, we show the value of adding lightweight visual and interactive features to academic digital library search interfaces to support exploratory browsing.