Search (6 results, page 1 of 1)

  • × author_ss:"Hoeber, O."
  1. Hoeber, O.: ¬A study of visually linked keywords to support exploratory browsing in academic search (2022) 0.01
    0.014229717 = product of:
      0.03913172 = sum of:
        0.0061991126 = weight(_text_:a in 644) [ClassicSimilarity], result of:
          0.0061991126 = score(doc=644,freq=14.0), product of:
            0.030653298 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.026584605 = queryNorm
            0.20223314 = fieldWeight in 644, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=644)
        0.011090843 = product of:
          0.044363372 = sum of:
            0.044363372 = weight(_text_:o in 644) [ClassicSimilarity], result of:
              0.044363372 = score(doc=644,freq=2.0), product of:
                0.13338262 = queryWeight, product of:
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.026584605 = queryNorm
                0.33260235 = fieldWeight in 644, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.046875 = fieldNorm(doc=644)
          0.25 = coord(1/4)
        0.00294612 = weight(_text_:s in 644) [ClassicSimilarity], result of:
          0.00294612 = score(doc=644,freq=4.0), product of:
            0.028903782 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.026584605 = queryNorm
            0.101928525 = fieldWeight in 644, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.046875 = fieldNorm(doc=644)
        0.018895645 = weight(_text_:u in 644) [ClassicSimilarity], result of:
          0.018895645 = score(doc=644,freq=2.0), product of:
            0.08704981 = queryWeight, product of:
              3.2744443 = idf(docFreq=4547, maxDocs=44218)
              0.026584605 = queryNorm
            0.21706703 = fieldWeight in 644, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2744443 = idf(docFreq=4547, maxDocs=44218)
              0.046875 = fieldNorm(doc=644)
      0.36363637 = coord(4/11)
    
    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.
    Editor
    Shukla, S.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.8, S.1171-1191
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  2. Hoeber, O.; Harvey, M.; Dewan Sagar, S.A.; Pointon, M.: ¬The effects of simulated interruptions on mobile search tasks (2022) 0.01
    0.009005718 = product of:
      0.024765722 = sum of:
        0.004782719 = weight(_text_:a in 563) [ClassicSimilarity], result of:
          0.004782719 = score(doc=563,freq=12.0), product of:
            0.030653298 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.026584605 = queryNorm
            0.15602624 = fieldWeight in 563, 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=563)
        0.00924237 = product of:
          0.03696948 = sum of:
            0.03696948 = weight(_text_:o in 563) [ClassicSimilarity], result of:
              0.03696948 = score(doc=563,freq=2.0), product of:
                0.13338262 = queryWeight, product of:
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.026584605 = queryNorm
                0.27716863 = fieldWeight in 563, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=563)
          0.25 = coord(1/4)
        0.0017360178 = weight(_text_:s in 563) [ClassicSimilarity], result of:
          0.0017360178 = score(doc=563,freq=2.0), product of:
            0.028903782 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.026584605 = queryNorm
            0.060061958 = fieldWeight in 563, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.0390625 = fieldNorm(doc=563)
        0.009004618 = product of:
          0.018009236 = sum of:
            0.018009236 = weight(_text_:22 in 563) [ClassicSimilarity], result of:
              0.018009236 = score(doc=563,freq=2.0), product of:
                0.09309476 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.026584605 = queryNorm
                0.19345059 = fieldWeight in 563, 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=563)
          0.5 = coord(1/2)
      0.36363637 = coord(4/11)
    
    Abstract
    While it is clear that using a mobile device can interrupt real-world activities such as walking or driving, the effects of interruptions on mobile device use have been under-studied. We are particularly interested in how the ambient distraction of walking while using a mobile device, combined with the occurrence of simulated interruptions of different levels of cognitive complexity, affect web search activities. We have established an experimental design to study how the degree of cognitive complexity of simulated interruptions influences both objective and subjective search task performance. In a controlled laboratory study (n = 27), quantitative and qualitative data were collected on mobile search performance, perceptions of the interruptions, and how participants reacted to the interruptions, using a custom mobile eye-tracking app, a questionnaire, and observations. As expected, more cognitively complex interruptions resulted in increased overall task completion times and higher perceived impacts. Interestingly, the effect on the resumption lag or the actual search performance was not significant, showing the resiliency of people to resume their tasks after an interruption. Implications from this study enhance our understanding of how interruptions objectively and subjectively affect search task performance, motivating the need for providing explicit mobile search support to enable recovery from interruptions.
    Date
    3. 5.2022 13:22:33
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.6, S.777-796
    Type
    a
  3. Hoeber, O.: Human-centred Web search (2012) 0.01
    0.005021801 = product of:
      0.01841327 = sum of:
        0.0052392064 = weight(_text_:a in 102) [ClassicSimilarity], result of:
          0.0052392064 = score(doc=102,freq=10.0), product of:
            0.030653298 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.026584605 = queryNorm
            0.1709182 = fieldWeight in 102, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=102)
        0.011090843 = product of:
          0.044363372 = sum of:
            0.044363372 = weight(_text_:o in 102) [ClassicSimilarity], result of:
              0.044363372 = score(doc=102,freq=2.0), product of:
                0.13338262 = queryWeight, product of:
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.026584605 = queryNorm
                0.33260235 = fieldWeight in 102, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.046875 = fieldNorm(doc=102)
          0.25 = coord(1/4)
        0.0020832212 = weight(_text_:s in 102) [ClassicSimilarity], result of:
          0.0020832212 = score(doc=102,freq=2.0), product of:
            0.028903782 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.026584605 = queryNorm
            0.072074346 = fieldWeight in 102, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.046875 = fieldNorm(doc=102)
      0.27272728 = coord(3/11)
    
    Abstract
    People commonly experience difficulties when searching the Web, arising from an incomplete knowledge regarding their information needs, an inability to formulate accurate queries, and a low tolerance for considering the relevance of the search results. While simple and easy to use interfaces have made Web search universally accessible, they provide little assistance for people to overcome the difficulties they experience when their information needs are more complex than simple fact-verification. In human-centred Web search, the purpose of the search engine expands from a simple information retrieval engine to a decision support system. People are empowered to take an active role in the search process, with the search engine supporting them in developing a deeper understanding of their information needs, assisting them in crafting and refining their queries, and aiding them in evaluating and exploring the search results. In this chapter, recent research in this domain is outlined and discussed.
    Pages
    S.217-238
    Type
    a
  4. Hoeber, O.; Yang, X.D.: HotMap : supporting visual exploration of Web search results (2009) 0.00
    0.0045916354 = product of:
      0.016835997 = sum of:
        0.0058576106 = weight(_text_:a in 2700) [ClassicSimilarity], result of:
          0.0058576106 = score(doc=2700,freq=18.0), product of:
            0.030653298 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.026584605 = queryNorm
            0.19109234 = fieldWeight in 2700, 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=2700)
        0.00924237 = product of:
          0.03696948 = sum of:
            0.03696948 = weight(_text_:o in 2700) [ClassicSimilarity], result of:
              0.03696948 = score(doc=2700,freq=2.0), product of:
                0.13338262 = queryWeight, product of:
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.026584605 = queryNorm
                0.27716863 = fieldWeight in 2700, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2700)
          0.25 = coord(1/4)
        0.0017360178 = weight(_text_:s in 2700) [ClassicSimilarity], result of:
          0.0017360178 = score(doc=2700,freq=2.0), product of:
            0.028903782 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.026584605 = queryNorm
            0.060061958 = fieldWeight in 2700, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2700)
      0.27272728 = coord(3/11)
    
    Abstract
    Although information retrieval techniques used by Web search engines have improved substantially over the years, the results of Web searches have continued to be represented in simple list-based formats. Although the list-based representation makes it easy to evaluate a single document for relevance, it does not support the users in the broader tasks of manipulating or exploring the search results as they attempt to find a collection of relevant documents. HotMap is a meta-search system that provides a compact visual representation of Web search results at two levels of detail, and it supports interactive exploration via nested sorting of Web search results based on query term frequencies. An evaluation of the search results for a set of vague queries has shown that the re-sorted search results can provide a higher portion of relevant documents among the top search results. User studies show an increase in speed and effectiveness and a reduction in missed documents when comparing HotMap to the list-based representation used by Google. Subjective measures were positive, and users showed a preference for the HotMap interface. These results provide evidence for the utility of next-generation Web search results interfaces that promote interactive search results exploration.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.1, S.90-110
    Type
    a
  5. Hoeber, O.; Yang, X.D.: Evaluating WordBars in exploratory Web search scenarios (2008) 0.00
    0.0042984835 = product of:
      0.015761105 = sum of:
        0.004782719 = weight(_text_:a in 2046) [ClassicSimilarity], result of:
          0.004782719 = score(doc=2046,freq=12.0), product of:
            0.030653298 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.026584605 = queryNorm
            0.15602624 = fieldWeight in 2046, 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=2046)
        0.00924237 = product of:
          0.03696948 = sum of:
            0.03696948 = weight(_text_:o in 2046) [ClassicSimilarity], result of:
              0.03696948 = score(doc=2046,freq=2.0), product of:
                0.13338262 = queryWeight, product of:
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.026584605 = queryNorm
                0.27716863 = fieldWeight in 2046, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2046)
          0.25 = coord(1/4)
        0.0017360178 = weight(_text_:s in 2046) [ClassicSimilarity], result of:
          0.0017360178 = score(doc=2046,freq=2.0), product of:
            0.028903782 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.026584605 = queryNorm
            0.060061958 = fieldWeight in 2046, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2046)
      0.27272728 = coord(3/11)
    
    Abstract
    Web searchers commonly have difficulties crafting queries to fulfill their information needs; even after they are able to craft a query, they often find it challenging to evaluate the results of their Web searches. Sources of these problems include the lack of support for constructing and refining queries, and the static nature of the list-based representations of Web search results. WordBars has been developed to assist users in their Web search and exploration tasks. This system provides a visual representation of the frequencies of the terms found in the first 100 document surrogates returned from an initial query, in the form of a histogram. Exploration of the search results is supported through term selection in the histogram, resulting in a re-sorting of the search results based on the use of the selected terms in the document surrogates. Terms from the histogram can be easily added or removed from the query, generating a new set of search results. Examples illustrate how WordBars can provide valuable support for query refinement and search results exploration, both when vague and specific initial queries are provided. User evaluations with both expert and intermediate Web searchers illustrate the benefits of the interactive exploration features of WordBars in terms of effectiveness as well as subjective measures. Although differences were found in the demographics of these two user groups, both were able to benefit from the features of WordBars.
    Source
    Information processing and management. 44(2008) no.2, S.485-510
    Type
    a
  6. Hoque, E.; Hoeber, O.; Gong, M.: CIDER: Concept-based image diversification, exploration, and retrieval (2013) 0.00
    0.0041848347 = product of:
      0.015344393 = sum of:
        0.0043660053 = weight(_text_:a in 2716) [ClassicSimilarity], result of:
          0.0043660053 = score(doc=2716,freq=10.0), product of:
            0.030653298 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.026584605 = queryNorm
            0.14243183 = fieldWeight in 2716, 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=2716)
        0.00924237 = product of:
          0.03696948 = sum of:
            0.03696948 = weight(_text_:o in 2716) [ClassicSimilarity], result of:
              0.03696948 = score(doc=2716,freq=2.0), product of:
                0.13338262 = queryWeight, product of:
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.026584605 = queryNorm
                0.27716863 = fieldWeight in 2716, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.017288 = idf(docFreq=795, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2716)
          0.25 = coord(1/4)
        0.0017360178 = weight(_text_:s in 2716) [ClassicSimilarity], result of:
          0.0017360178 = score(doc=2716,freq=2.0), product of:
            0.028903782 = queryWeight, product of:
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.026584605 = queryNorm
            0.060061958 = fieldWeight in 2716, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.0872376 = idf(docFreq=40523, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2716)
      0.27272728 = coord(3/11)
    
    Abstract
    Many of the approaches to image retrieval on the Web have their basis in text retrieval. However, when searchers are asked to describe their image needs, the resulting query is often short and potentially ambiguous. The solution we propose is to perform automatic query expansion using Wikipedia as the source knowledge base, resulting in a diversification of the search results. The outcome is a broad range of images that represent the various possible interpretations of the query. In order to assist the searcher in finding images that match their specific intentions for the query, we have developed an image organization method that uses both the conceptual information associated with each image, and the visual features extracted from the images. This, coupled with a hierarchical organization of the concepts, provides an interactive interface that takes advantage of the searchers' abilities to recognize relevant concepts, filter and focus the search results based on these concepts, and visually identify relevant images while navigating within the image space. In this paper, we outline the key features of our image retrieval system (CIDER), and present the results of a preliminary user evaluation. The results of this study illustrate the potential benefits that CIDER can provide for searchers conducting image retrieval tasks.
    Source
    Information processing and management. 49(2013) no.5, S.1122-1138
    Type
    a