Search (5 results, page 1 of 1)

  • × author_ss:"Xie, I."
  • × year_i:[2010 TO 2020}
  1. Xie, I.; Joo, S.: Transitions in search tactics during the Web-based search process (2010) 0.00
    0.0020808585 = product of:
      0.008323434 = sum of:
        0.008323434 = product of:
          0.033293735 = sum of:
            0.033293735 = weight(_text_:based in 4097) [ClassicSimilarity], result of:
              0.033293735 = score(doc=4097,freq=4.0), product of:
                0.14144066 = queryWeight, product of:
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.04694356 = queryNorm
                0.23539014 = fieldWeight in 4097, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4097)
          0.25 = coord(1/4)
      0.25 = coord(1/4)
    
    Abstract
    Although many studies have identified search tactics, few studies have explored tactic transitions. This study investigated the transitions of search tactics during the Web-based search process. Bringing their own 60 search tasks, 31 participants, representing the general public with different demographic characteristics, participated in the study. Data collected from search logs and verbal protocols were analyzed by applying both qualitative and quantitative methods. The findings of this study show that participants exhibited some unique Web search tactics. They overwhelmingly employed accessing and evaluating tactics; they used fewer tactics related to modifying search statements, monitoring the search process, organizing search results, and learning system features. The contributing factors behind applying most and least frequently employed search tactics are in relation to users' efforts, trust in information retrieval (IR) systems, preference, experience, and knowledge as well as limitation of the system design. A matrix of search-tactic transitions was created to show the probabilities of transitions from one tactic to another. By applying fifth-order Markov chain, the results also presented the most common search strategies representing patterns of tactic transition occurring at the beginning, middle, and ending phases within one search session. The results of this study generated detailed and useful guidance for IR system design to support the most frequently applied tactics and transitions, to reduce unnecessary transitions, and support transitions at different phases.
  2. Xie, I.; Joo, S.: Factors affecting the selection of search tactics : tasks, knowledge, process, and systems (2012) 0.00
    0.0017656671 = product of:
      0.0070626684 = sum of:
        0.0070626684 = product of:
          0.028250674 = sum of:
            0.028250674 = weight(_text_:based in 2739) [ClassicSimilarity], result of:
              0.028250674 = score(doc=2739,freq=2.0), product of:
                0.14144066 = queryWeight, product of:
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.04694356 = queryNorm
                0.19973516 = fieldWeight in 2739, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2739)
          0.25 = coord(1/4)
      0.25 = coord(1/4)
    
    Abstract
    This study investigated whether and how different factors in relation to task, user-perceived knowledge, search process, and system affect users' search tactic selection. Thirty-one participants, representing the general public with their own tasks, were recruited for this study. Multiple methods were employed to collect data, including pre-questionnaire, verbal protocols, log analysis, diaries, and post-questionnaires. Statistical analysis revealed that seven factors were significantly associated with tactic selection. These factors consist of work task types, search task types, familiarity with topic, search skills, search session length, search phases, and system types. Moreover, the study also discovered, qualitatively, in what ways these factors influence the selection of search tactics. Based on the findings, the authors discuss practical implications for system design to support users' application of multiple search tactics for each factor.
  3. Chen, J.; Wang, D.; Xie, I.; Lu, Q.: Image annotation tactics : transitions, strategies and efficiency (2018) 0.00
    0.0016646868 = product of:
      0.0066587473 = sum of:
        0.0066587473 = product of:
          0.02663499 = sum of:
            0.02663499 = weight(_text_:based in 5046) [ClassicSimilarity], result of:
              0.02663499 = score(doc=5046,freq=4.0), product of:
                0.14144066 = queryWeight, product of:
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.04694356 = queryNorm
                0.18831211 = fieldWeight in 5046, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.03125 = fieldNorm(doc=5046)
          0.25 = coord(1/4)
      0.25 = coord(1/4)
    
    Abstract
    Human interpretation of images during image annotation is complicated, but most existing interactive image annotation systems are generally operated based on social tagging, while ignoring that tags are insufficient to convey image semantics. Hence, it is critical to study the nature of image annotation behaviors and process. This study investigated annotation tactics, transitions, strategies and their efficiency during the image annotation process. A total of 90 participants were recruited to annotate nine pictures in three emotional dimensions with three interactive annotation methods. Data collected from annotation logs and verbal protocols were analyzed by applying both qualitative and quantitative methods. The findings of this study show that the cognitive process of human interpretation of images is rather complex, which reveals a probable bias in research involving image relevance feedback. Participants preferred applying scroll bar (Scr) and image comparison (Cim) tactics comparing with rating tactic (Val), and they did fewer fine tuning activities, which reflects the influence of perceptual level and users' cognitive load during image annotation. Annotation tactic transition analysis showed that Cim was more likely to be adopted at the beginning of each phase, and the most remarkable transition was from Cim to Scr. By applying sequence analysis, the authors found 10 most commonly used sequences representing four types of annotation strategies, including Single tactic strategy, Tactic combination strategy, Fix mode strategy and Shift mode strategy. Furthermore, two patterns, "quarter decreasing" and "transition cost," were identified based on time data, and both multiple tactics (e.g., the combination of Cim and Scr) and fine tuning activities were recognized as efficient tactic applications. Annotation patterns found in this study suggest more research needs to be done considering the need for multi-interactive methods and their influence. The findings of this study generated detailed and useful guidance for the interactive design in image annotation systems, including recommending efficient tactic applications in different phases, highlighting the most frequently applied tactics and transitions, and avoiding unnecessary transitions.
  4. Xie, I.; Benoit, E. III: Search result list evaluation versus document evaluation : similarities and differences (2013) 0.00
    0.0014713892 = product of:
      0.005885557 = sum of:
        0.005885557 = product of:
          0.023542227 = sum of:
            0.023542227 = weight(_text_:based in 1754) [ClassicSimilarity], result of:
              0.023542227 = score(doc=1754,freq=2.0), product of:
                0.14144066 = queryWeight, product of:
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.04694356 = queryNorm
                0.16644597 = fieldWeight in 1754, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1754)
          0.25 = coord(1/4)
      0.25 = coord(1/4)
    
    Abstract
    Purpose - The purpose of this study is to compare the evaluation of search result lists and documents, in particular evaluation criteria, elements, association between criteria and elements, pre/post and evaluation activities, and the time spent on evaluation. Design/methodology/approach - The study analyzed the data collected from 31 general users through prequestionnaires, think aloud protocols and logs, and post questionnaires. Types of evaluation criteria, elements, associations between criteria and elements, evaluation activities and their associated pre/post activities, and time were analyzed based on open coding. Findings - The study identifies the similarities and differences of list and document evaluation by analyzing 21 evaluation criteria applied, 13 evaluation elements examined, pre/post and evaluation activities performed and time spent. In addition, the authors also explored the time spent in evaluating lists and documents for different types of tasks. Research limitations/implications - This study helps researchers understand the nature of list and document evaluation. Additionally, this study connects elements that participants examined to criteria they applied, and further reveals problems associated with the lack of integration between list and document evaluation. The findings of this study suggest more elements, especially at list level, be available to support users applying their evaluation criteria. Integration of list and document evaluation and integration of pre, evaluation and post evaluation activities for the interface design is the absolute solution for effective evaluation. Originality/value - This study fills a gap in current research in relation to the comparison of list and document evaluation.
  5. Xie, I.; Joo, S.; Bennett-Kapusniak, R.: User involvement and system support in applying search tactics (2017) 0.00
    0.0014713892 = product of:
      0.005885557 = sum of:
        0.005885557 = product of:
          0.023542227 = sum of:
            0.023542227 = weight(_text_:based in 3594) [ClassicSimilarity], result of:
              0.023542227 = score(doc=3594,freq=2.0), product of:
                0.14144066 = queryWeight, product of:
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.04694356 = queryNorm
                0.16644597 = fieldWeight in 3594, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3594)
          0.25 = coord(1/4)
      0.25 = coord(1/4)
    
    Abstract
    Both user involvement and system support play important roles in applying search tactics. To apply search tactics in the information retrieval (IR) processes, users make decisions and take actions in the search process, while IR systems assist them by providing different system features. After analyzing 61 participants' information searching diaries and questionnaires we identified various types of user involvement and system support in applying different types of search tactics. Based on quantitative analysis, search tactics were classified into 3 groups: user-dominated, system-dominated, and balanced tactics. We further explored types of user involvement and types of system support in applying search tactics from the 3 groups. The findings show that users and systems play major roles in applying user-dominated and system-dominated tactics, respectively. When applying balanced tactics, users and systems must collaborate closely with each other. In this article, we propose a model that illustrates user involvement and system support as they occur in user-dominated tactics, system-dominated tactics, and balanced tactics. Most important, IR system design implications are discussed to facilitate effective and efficient applications of the 3 groups of search tactics.