Search (10 results, page 1 of 1)

0.0452892 = product of:
  0.0679338 = sum of:
    0.038683258 = weight(_text_:management in 2739) [ClassicSimilarity], result of:
      0.038683258 = score(doc=2739,freq=2.0), product of:
        0.17312427 = queryWeight, product of:
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.051362853 = queryNorm
        0.22344214 = fieldWeight in 2739, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.046875 = fieldNorm(doc=2739)
    0.029250536 = product of:
      0.058501072 = sum of:
        0.058501072 = weight(_text_:system in 2739) [ClassicSimilarity], result of:
          0.058501072 = score(doc=2739,freq=6.0), product of:
            0.16177002 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.051362853 = queryNorm
            0.36163113 = fieldWeight in 2739, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.046875 = fieldNorm(doc=2739)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)

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.

Source

Information processing and management. 48(2012) no.2, S.254-270

0.020980377 = product of:
  0.06294113 = sum of:
    0.06294113 = sum of:
      0.02814634 = weight(_text_:system in 2737) [ClassicSimilarity], result of:
        0.02814634 = score(doc=2737,freq=2.0), product of:
          0.16177002 = queryWeight, product of:
            3.1495528 = idf(docFreq=5152, maxDocs=44218)
            0.051362853 = queryNorm
          0.17398985 = fieldWeight in 2737, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.1495528 = idf(docFreq=5152, maxDocs=44218)
            0.0390625 = fieldNorm(doc=2737)
      0.03479479 = weight(_text_:22 in 2737) [ClassicSimilarity], result of:
        0.03479479 = score(doc=2737,freq=2.0), product of:
          0.17986396 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.051362853 = queryNorm
          0.19345059 = fieldWeight in 2737, 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=2737)
  0.33333334 = coord(1/3)

Abstract

To date, there has been little empirical research investigating the specific types of help-seeking situations that arise when people interact with information in new searching environments such as digital libraries. This article reports the results of a project focusing on the identification of different types of help-seeking situations, along with types of factors that precipitate them among searchers of two different digital libraries. Participants (N = 120) representing the general public in Milwaukee and New York City were selected for this study. Based on the analysis of multiple sources of data, the authors identify 15 types of help-seeking situations among this sample of novice digital library users. These situations are related to the searching activities involved in getting started, identifying relevant digital collections, browsing for information, constructing search statements, refining searches, monitoring searches, and evaluating results. Multiple factors that determine the occurrences of each type of help-seeking situation also are identified. The article concludes with a model that represents user, system, task, and interaction outcome as codeterminates in the formation of help-seeking situations, and presents the theoretical and practical implications of the study results.

Date

22. 3.2009 12:49:20

0.014834426 = product of:
  0.04450328 = sum of:
    0.04450328 = product of:
      0.08900656 = sum of:
        0.08900656 = weight(_text_:system in 3594) [ClassicSimilarity], result of:
          0.08900656 = score(doc=3594,freq=20.0), product of:
            0.16177002 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.051362853 = queryNorm
            0.5502043 = fieldWeight in 3594, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3594)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

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.

0.00859628 = product of:
  0.025788838 = sum of:
    0.025788838 = weight(_text_:management in 3970) [ClassicSimilarity], result of:
      0.025788838 = score(doc=3970,freq=2.0), product of:
        0.17312427 = queryWeight, product of:
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.051362853 = queryNorm
        0.14896142 = fieldWeight in 3970, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.03125 = fieldNorm(doc=3970)
  0.33333334 = coord(1/3)

Content

Introduction to digital libraries - Digital library initiatives and international projects - Collection development - Techniques and technologies for multimedia storage and retrieval - Digitization - Knowledge representation and organization - Digital Library Content Management Systems - Interface design and evaluation - Sustainability and preservation - User needs and information retrieval - Evaluation of digital libraries - Impact, challenges, and trends for the future

0.00859628 = product of:
  0.025788838 = sum of:
    0.025788838 = weight(_text_:management in 5046) [ClassicSimilarity], result of:
      0.025788838 = score(doc=5046,freq=2.0), product of:
        0.17312427 = queryWeight, product of:
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.051362853 = queryNorm
        0.14896142 = fieldWeight in 5046, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.3706124 = idf(docFreq=4130, maxDocs=44218)
          0.03125 = fieldNorm(doc=5046)
  0.33333334 = coord(1/3)

Source

Information processing and management. 54(2018) no.6, S.985-1001

0.008125149 = product of:
  0.024375446 = sum of:
    0.024375446 = product of:
      0.048750892 = sum of:
        0.048750892 = weight(_text_:system in 4097) [ClassicSimilarity], result of:
          0.048750892 = score(doc=4097,freq=6.0), product of:
            0.16177002 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.051362853 = queryNorm
            0.30135927 = fieldWeight in 4097, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4097)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

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.

0.0066341567 = product of:
  0.01990247 = sum of:
    0.01990247 = product of:
      0.03980494 = sum of:
        0.03980494 = weight(_text_:system in 4179) [ClassicSimilarity], result of:
          0.03980494 = score(doc=4179,freq=4.0), product of:
            0.16177002 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.051362853 = queryNorm
            0.24605882 = fieldWeight in 4179, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4179)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

A sight-centered digital library (DL) design with complex structures and multimedia formats poses significant challenges for blind users. This study is the first attempt to investigate the top three help-seeking situations as well as associated factors in blind users' DL interactions. A mixed-method approach was adopted for this study. Multiple methods were applied to collect data from 30 blind subjects: questionnaires, presearch interviews, think aloud protocols, transaction logs, and postsearch interviews. The paper identifies the top three help-seeking situations, and associated factors in relation to user, system, task, and interaction. Moreover, different types of main-level factors were tested to investigate if they are correlated to each type of top situation, and qualitative data of sublevel factors offer insight into how these factors are associated with various situations. Without a clear understanding of these situations and factors, the objective of universal access to information in DLs cannot be achieved. DL design implications are further discussed with the goal of providing system design recommendations for reducing blind users' help-seeking situations.

0.0066341567 = product of:
  0.01990247 = sum of:
    0.01990247 = product of:
      0.03980494 = sum of:
        0.03980494 = weight(_text_:system in 307) [ClassicSimilarity], result of:
          0.03980494 = score(doc=307,freq=4.0), product of:
            0.16177002 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.051362853 = queryNorm
            0.24605882 = fieldWeight in 307, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=307)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

This is the first study that compares types of orientation tactics that blind and sighted users applied in their initial interactions with a digital library (DL) and the associated factors. Multiple methods were employed for data collection: questionnaires, think-aloud protocols, and transaction logs. The paper identifies seven types of orientation tactics applied by the two groups of users. While sighted users focused on skimming DL content, blind users concentrated on exploring DL structure. Moreover, the authors discovered 13 types of system, user, and interaction factors that led to the use of orientation tactics. More system factors than user factors affect blind users' tactics in browsing DL structures. The findings of this study support the social model that the sight-centered design of DLs, rather than blind users' disability, prohibits them from effectively interacting with a DL. Simultaneously, the results reveal the limitation of existing interactive information retrieval models that do not take people with disabilities into consideration. DL design implications are discussed based on the identified factors.

0.0056292685 = product of:
  0.016887804 = sum of:
    0.016887804 = product of:
      0.03377561 = sum of:
        0.03377561 = weight(_text_:system in 3821) [ClassicSimilarity], result of:
          0.03377561 = score(doc=3821,freq=2.0), product of:
            0.16177002 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.051362853 = queryNorm
            0.20878783 = fieldWeight in 3821, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.046875 = fieldNorm(doc=3821)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Abstract

Key terms related to information searching and search models are defined. A historic context is provided to illustrate the evolution of the four main digital environments that users interact with in their search process to offer readers background information regarding the transition from manual information systems to computer-based information retrieval (IR) systems, as well as the transition from intermediary searching to end-user searching. Emphasis is placed on the review of different levels of information searching from search tactics/moves, search strategies, and usage patterns, to search models and associated factors in relation to task, user knowledge structure, IR system design, and social-organization context. Search models are further classified into two types, with one type illustrating information search process (ISP) and the other type emphasizing the factors that influence the process. In addition, unsolved problems and future research are discussed and suggested.

0.0056292685 = product of:
  0.016887804 = sum of:
    0.016887804 = product of:
      0.03377561 = sum of:
        0.03377561 = weight(_text_:system in 959) [ClassicSimilarity], result of:
          0.03377561 = score(doc=959,freq=2.0), product of:
            0.16177002 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.051362853 = queryNorm
            0.20878783 = fieldWeight in 959, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.046875 = fieldNorm(doc=959)
      0.5 = coord(1/2)
  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.