Search (72 results, page 1 of 4)

0.00978818 = product of:
  0.07830544 = sum of:
    0.07830544 = product of:
      0.11745816 = sum of:
        0.058994424 = weight(_text_:29 in 3339) [ClassicSimilarity], result of:
          0.058994424 = score(doc=3339,freq=2.0), product of:
            0.108422816 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.030822188 = queryNorm
            0.5441145 = fieldWeight in 3339, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.109375 = fieldNorm(doc=3339)
        0.058463734 = weight(_text_:22 in 3339) [ClassicSimilarity], result of:
          0.058463734 = score(doc=3339,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.5416616 = fieldWeight in 3339, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=3339)
      0.6666667 = coord(2/3)
  0.125 = coord(1/8)

Date

22. 5.2005 19:52:29

0.0064261304 = product of:
  0.025704522 = sum of:
    0.017352559 = product of:
      0.052057672 = sum of:
        0.052057672 = weight(_text_:problem in 3450) [ClassicSimilarity], result of:
          0.052057672 = score(doc=3450,freq=4.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.39792046 = fieldWeight in 3450, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.046875 = fieldNorm(doc=3450)
      0.33333334 = coord(1/3)
    0.008351962 = product of:
      0.025055885 = sum of:
        0.025055885 = weight(_text_:22 in 3450) [ClassicSimilarity], result of:
          0.025055885 = score(doc=3450,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.23214069 = fieldWeight in 3450, 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=3450)
      0.33333334 = coord(1/3)
  0.25 = coord(2/8)

Abstract

Most information systems share a common assumption: information seeking is discrete. Such an assumption neither reflects real-life information seeking processes nor conforms to the perspective of phenomenology, "life is a journey constituted by continuous acquisition of knowledge." Thus, this study develops and validates a theoretical model that explains successive search experience for essentially the same information problem. The proposed model is called Multiple Information Seeking Episodes (MISE), which consists of four dimensions: problematic situation, information problem, information seeking process, episodes. Eight modes of multiple information seeking episodes are identified and specified with properties of the four dimensions of MISE. The results partially validate MISE by finding that the original MISE model is highly accurate, but less sufficient in characterizing successive searches; all factors in the MISE model are empirically confirmed, but new factors are identified as weIl. The revised MISE model is shifted from the user-centered to the interaction-centered perspective, taking into account factors of searcher, system, search activity, search context, information attainment, and information use activities.

Date

10. 4.2005 14:52:22

0.0043381397 = product of:
  0.034705117 = sum of:
    0.034705117 = product of:
      0.104115345 = sum of:
        0.104115345 = weight(_text_:problem in 991) [ClassicSimilarity], result of:
          0.104115345 = score(doc=991,freq=16.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.7958409 = fieldWeight in 991, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.046875 = fieldNorm(doc=991)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

Multitasking is the human ability to handle the demands of multiple tasks. Multitasking behavior involves the ordering of multiple tasks and switching between tasks. People often multitask when using information retrieval (IR) technologies as they seek information on more than one information problem over single or multiple search episodes. However, limited studies have examined how people order their information problems, especially during their Web search engine interaction. The aim of our exploratory study was to investigate assigned information problem ordering by forty (40) study participants engaged in Web search. Findings suggest that assigned information problem ordering was influenced by the following factors, including personal interest, problem knowledge, perceived level of information available on the Web, ease of finding information, level of importance and seeking information on information problems in order from general to specific. Personal interest and problem knowledge were the major factors during assigned information problem ordering. Implications of the findings and further research are discussed. The relationship between information problem ordering and gratification theory is an important area for further exploration.

0.0043120594 = product of:
  0.017248238 = sum of:
    0.010225092 = product of:
      0.030675275 = sum of:
        0.030675275 = weight(_text_:problem in 5242) [ClassicSimilarity], result of:
          0.030675275 = score(doc=5242,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.23447686 = fieldWeight in 5242, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5242)
      0.33333334 = coord(1/3)
    0.007023146 = product of:
      0.021069437 = sum of:
        0.021069437 = weight(_text_:29 in 5242) [ClassicSimilarity], result of:
          0.021069437 = score(doc=5242,freq=2.0), product of:
            0.108422816 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.030822188 = queryNorm
            0.19432661 = fieldWeight in 5242, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5242)
      0.33333334 = coord(1/3)
  0.25 = coord(2/8)

Abstract

In "Part 3. Successive Searching.'' where Spink is the primary author, after a review of the work on successive searching, a portion of the Texas generated data is reviewed for insights on how frequently successive searching occurred, the motivation for its occurrence, and any distinctive characteristics of the successive search pattern. Of 18 mediated searches, half requested a second search and a quarter a third search. All but one seeker reported a need to refine and enhance the previous results. Second searches while characterized as refinements included a significantly higher number of items retrieved and more search cycles. Third searches had the most cycles but less retrieved items than the second. Number of terms utilized did not change significantly and overlap was limited to about one in five terms between first and second searches. No overlap occurred between the second and third searches. Problem solving stage shifts did occur with 2 moving to a later stage after the first search, 5 remaining in the same stage and one reverting to a previous stage. Precision did not increase over successive searches, but partial relevant judgments decreased between the second and third search.

Date

21. 7.2006 14:29:18

0.004296265 = product of:
  0.01718506 = sum of:
    0.010225092 = product of:
      0.030675275 = sum of:
        0.030675275 = weight(_text_:problem in 2680) [ClassicSimilarity], result of:
          0.030675275 = score(doc=2680,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.23447686 = fieldWeight in 2680, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2680)
      0.33333334 = coord(1/3)
    0.0069599687 = product of:
      0.020879906 = sum of:
        0.020879906 = weight(_text_:22 in 2680) [ClassicSimilarity], result of:
          0.020879906 = score(doc=2680,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.19345059 = fieldWeight in 2680, 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=2680)
      0.33333334 = coord(1/3)
  0.25 = coord(2/8)

Abstract

This study addresses the impact of domain expertise (i.e. of prior knowledge of the domain) on the performance and query strategies used by users while searching for information. Twenty-four experts (psychology students) and 24 non-experts (students from other disciplines) had to search for psychology information from the Universalis website in order to perform six information problems of varying complexity: two simple problems (the keywords required to complete the task were provided in the problem statement), two more difficult problems (the keywords required had to be inferred) and two impossible problems (no answer was provided by the website). The results showed that participants with prior knowledge in the domain (experts in psychology) performed better (i.e. reached more correct answers after shorter search times) than non-experts. This difference was stronger as the complexity of the problems increased. This study also showed that experts and non-experts displayed different query strategies. Experts reformulated the impossible problems more often than non-experts, because they produced new queries with psychology-related keywords. The participants rarely used thematic category tool and when they did so this did not enhance their performance.

Date

25. 1.2016 18:46:22

0.0041949344 = product of:
  0.033559475 = sum of:
    0.033559475 = product of:
      0.05033921 = sum of:
        0.025283325 = weight(_text_:29 in 3612) [ClassicSimilarity], result of:
          0.025283325 = score(doc=3612,freq=2.0), product of:
            0.108422816 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.030822188 = queryNorm
            0.23319192 = fieldWeight in 3612, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.046875 = fieldNorm(doc=3612)
        0.025055885 = weight(_text_:22 in 3612) [ClassicSimilarity], result of:
          0.025055885 = score(doc=3612,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.23214069 = fieldWeight in 3612, 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=3612)
      0.6666667 = coord(2/3)
  0.125 = coord(1/8)

Date

2. 7.2005 12:22:50

Source

Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase

0.003437012 = product of:
  0.013748048 = sum of:
    0.008180073 = product of:
      0.02454022 = sum of:
        0.02454022 = weight(_text_:problem in 296) [ClassicSimilarity], result of:
          0.02454022 = score(doc=296,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.1875815 = fieldWeight in 296, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.03125 = fieldNorm(doc=296)
      0.33333334 = coord(1/3)
    0.005567975 = product of:
      0.016703924 = sum of:
        0.016703924 = weight(_text_:22 in 296) [ClassicSimilarity], result of:
          0.016703924 = score(doc=296,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.15476047 = fieldWeight in 296, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=296)
      0.33333334 = coord(1/3)
  0.25 = coord(2/8)

Abstract

Previous empirical studies of searcher behaviour have drawn attention to a wide variety of factors that affect performance; for instance, the display of retrieved results can alter search strategies (Allen 1991, 1994), the information need type influences search behaviour, (Elkerton et al 1984, Marchionini 1995); while the task complexity, reflected in the information need can affect user's search behaviour (Large et al 1994). Furthermore, information source selection (Bassilli 1977), and the user's model of the system and domain impact on the search process (Michel 1994); while motivation (Solomon 1993, Jacobsen et al 1992) and the importance of the information need (Wendt 1969) also influence search duration and the effort a user will employ. Rouse and Rouse (1984) in a review of empirical studies, summarise a wide variety of variables that can effect searching behaviour, including payoff, costs of searching, resource available, amount of information sought, characteristics of the data and conflicts between documents. It appears that user behaviour is inconsistent in the search strategies adopted even for the same search need and system (Davidson 1977, Iivonen 1995). Theories of searcher behaviour have been proposed that provide explanations of aspects of end-user behaviour, such as the evolution of the user's information need and the problems of articulating a query, [Bates (1979, 1989), Markey and Atherton 1978], effective search strategies in browsing and goal directed searches [Marchionini 1995, Belkin (1987, 1993)], the linguistic problem of matching search terms with indexing terms or content of target documents through an expert intermediary (Ingwersen 1982) or cognitive aspects of IR (Kulthau 1984, Ingwersen 1996).

Date

22. 3.2002 9:54:13

0.0034296005 = product of:
  0.027436804 = sum of:
    0.027436804 = product of:
      0.08231041 = sum of:
        0.08231041 = weight(_text_:problem in 5239) [ClassicSimilarity], result of:
          0.08231041 = score(doc=5239,freq=10.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.6291675 = fieldWeight in 5239, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.046875 = fieldNorm(doc=5239)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

In "Part 4. Cognitive Styles in Information Seeking,'' where Ford is the primary author, the results of the application of the Riding's Cognitive Styles Analysis and the Pask's holist/serialist portion of the Ford's Study Process Questionnaire to the 111 U.K. participants. were correlated using Spearman's coefficient with reports of focused thinking, degree of change in the intermediary's perception of the problem and personal knowledge, problem stage, degree of differentiating activity, change in problem perception, engagement in exploring activity, changes in questioning, valuing of serendipitous information, and other variables. The results would indicate that field independent individuals report clearer more focused thinking, see themselves in an earlier problem stage, and report higher levels of change in perception of the problem. Holists value serendipity and report engagement in Kuhlthau's exploring stage. They are seen by intermediaries as exhibiting fewer changes in questioning behavior. A fifth section will appear in a later issue.

0.0027839874 = product of:
  0.0222719 = sum of:
    0.0222719 = product of:
      0.0668157 = sum of:
        0.0668157 = weight(_text_:22 in 1448) [ClassicSimilarity], result of:
          0.0668157 = score(doc=1448,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.61904186 = fieldWeight in 1448, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.125 = fieldNorm(doc=1448)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Date

22. 5.2005 19:53:09

0.0026565571 = product of:
  0.021252457 = sum of:
    0.021252457 = product of:
      0.06375737 = sum of:
        0.06375737 = weight(_text_:problem in 5232) [ClassicSimilarity], result of:
          0.06375737 = score(doc=5232,freq=6.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.48735106 = fieldWeight in 5232, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.046875 = fieldNorm(doc=5232)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

In "Part 2. Uncertainty and Its Correlates,'' where Wilson is the primary author, after a review of uncertainty as a concept in information seeking and decision research, it is hypothesized that if the Kuhlthau problem solving stage model is appropriate the searchers will recognize the stage in which they currently are operating. Secondly to test Wilson's contention that operationalized uncertainty would be useful in characterizing users, it is hypothesized that uncertainty will decrease as the searcher proceeds through problem stages and after the completion of the search. A review of pre and post search interviews reveals that uncertainty can be operationalized, and that academic researchers have no difficulty with a stage model of the information seeking process. Uncertainty is unrelated to sex, age, or discipline, but is related to problem stage and domain knowledge. Both concepts appear robust.

0.002556273 = product of:
  0.020450184 = sum of:
    0.020450184 = product of:
      0.06135055 = sum of:
        0.06135055 = weight(_text_:problem in 2034) [ClassicSimilarity], result of:
          0.06135055 = score(doc=2034,freq=8.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.46895373 = fieldWeight in 2034, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2034)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

The study focuses on the ways in which people define their source preferences in the context of seeking problem-specific information for non-work purposes. The conceptual framework draws on two major concepts, that is, information source horizon and information pathways. The former denotes the ways information sources are mapped in preference order in an imaginary field, while information pathways refers to the sequences in which sources placed on the information source horizon are actually used. The empirical part of the study draws on semi-structured interviews with 18 individuals active in environmental issues. Human sources and the Internet were preferred most strongly in seeking for problem-based information. The major source preferences were content of information, and availability and accessibility. Usability of information sources and user characteristics were mentioned less frequently as preference criteria. Typically, information pathways consisted of the use of 3-4 sources. On average, human and networked sources were favored in the early phases of information seeking. Printed media such as magazines and organizational sources were often used to complement information received from human sources and the Internet. However, the source preferences varied considerably, depending on the requirements of the problem at hand.

0.002435989 = product of:
  0.019487912 = sum of:
    0.019487912 = product of:
      0.058463734 = sum of:
        0.058463734 = weight(_text_:22 in 3924) [ClassicSimilarity], result of:
          0.058463734 = score(doc=3924,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.5416616 = fieldWeight in 3924, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=3924)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Source

Library and information science research. 22(2000) no.4, S.371-382

0.0021690698 = product of:
  0.017352559 = sum of:
    0.017352559 = product of:
      0.052057672 = sum of:
        0.052057672 = weight(_text_:problem in 4493) [ClassicSimilarity], result of:
          0.052057672 = score(doc=4493,freq=4.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.39792046 = fieldWeight in 4493, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.046875 = fieldNorm(doc=4493)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

The aim of this article is threefold: (1) to give a summary of empirical results reported earlier on relations between students' problem stages in the course of writing their research proposals for a master's thesis and the information sought, choice of search terms and tactics and relevance assessments of the information found for that task; (2) to show how the findings of the study refine Kuhlthau's model of the information search process in the field of information retrieval (IR); and (3) to construe a tentative theory of a task-based IR process based on the supported hypotheses. The results of the empirical studies show that there is a close connection between the students' problem stages (mental model) in the task performance and the information sought, the search tactics used and the assessment of the relevance and utility of the information found. The corroborated hypotheses expand the ideas in Kuhlthau's model in the domain of IR. A theory of task-based information searching based on the empirical findings of the study is presented.

0.0021690698 = product of:
  0.017352559 = sum of:
    0.017352559 = product of:
      0.052057672 = sum of:
        0.052057672 = weight(_text_:problem in 5233) [ClassicSimilarity], result of:
          0.052057672 = score(doc=5233,freq=4.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.39792046 = fieldWeight in 5233, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.046875 = fieldNorm(doc=5233)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

Ellis, et alia, now provide part five of their study on mediated searching which is treated separately here because of the presence of additional authors. The data source remains cases collected from 198 individuals, 87 in Texas and 111 in Sheffield in the U.K. but the focus here is on seeker/intermediary interaction utilizing the Saracevic triadic IR model, and the method is the analysis of discourse. While the pre-search interview stressed problem definition, interaction during the search in terms of relevance and magnitude continued to develop the problem statement. The user and intermediary focused on search tactics, review and relevance, while the intermediary interaction with the system was comprised of terminology and answers. The interaction clearly affected the search process. Users and intermediaries considered the process effective and users felt the intermediary increased their overall satisfaction.

0.0018075579 = product of:
  0.014460463 = sum of:
    0.014460463 = product of:
      0.04338139 = sum of:
        0.04338139 = weight(_text_:problem in 300) [ClassicSimilarity], result of:
          0.04338139 = score(doc=300,freq=4.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.33160037 = fieldWeight in 300, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0390625 = fieldNorm(doc=300)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

This paper presents the initial stages of the development of a three-dimensional model as a theoretical framework for conceptualizing and exploring interactive information retrieval (IR) with an information seeking context. The model, displayed in Figure 1, includes a Plane of Judgment within a Plane of Interaction within a Plane of Time. The Plane of Judgment includes levels and regions of relevance judgments, and other user judgments during interactive IR, e.g., magnitude or strategy feedback, tactics, search strategies, or search terms. The Plane of Judgment exists within a Plane of Interaction. The Plane of Interaction consists of interactive IR models, including Ingwersen (1992, 1996), Belkin, Cool, Stein and Theil (1995), and Saracevic (1996b, 1997). The Plane of Interaction includes movement or shifts within interactions or search episodes, e.g., tactics, information problem, strategies, terms, feedback, goal states, or uncertainty. IR interactions that occur within a Plane of Interaction exist within a Plane of Time. The Plane of Time includes users' information seeking stages, represented in the model by Kuhlthau's Information Search Process Model (1993) and users' successive searches over time related to the same or evolving information problem (Spink, 1996). The three-dimensional model is a framework for the development of theoretical and empirical research to: 1. Integrate interactive IR research within information-seeking context 2. Explore users' interactive IR episodes within their changing information-seeking contexts 3. Examine relevance judgments within users' information seeking processes 4. Broaden relevance research to include the concurrent exploration of relevance judgment level, region and time

0.0018075579 = product of:
  0.014460463 = sum of:
    0.014460463 = product of:
      0.04338139 = sum of:
        0.04338139 = weight(_text_:problem in 301) [ClassicSimilarity], result of:
          0.04338139 = score(doc=301,freq=4.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.33160037 = fieldWeight in 301, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0390625 = fieldNorm(doc=301)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

This paper presents the initial stages of the development of a three-dimensional model as a theoretical framework for conceptualizing and exploring interactive information retrieval (IR) with an information seeking context. The model, displayed in Figure 1, includes a Plane of Judgment within a Plane of Interaction within a Plane of Time. The Plane of Judgment includes levels and regions of relevance judgments, and other user judgments during interactive IR, e.g., magnitude or strategy feedback, tactics, search strategies, or search terms. The Plane of Judgment exists within a Plane of Interaction. The Plane of Interaction consists of interactive IR models, including Ingwersen (1992, 1996), Belkin, Cool, Stein and Theil (1995), and Saracevic (1996b, 1997). The Plane of Interaction includes movement or shifts within interactions or search episodes, e.g., tactics, information problem, strategies, terms, feedback, goal states, or uncertainty. IR interactions that occur within a Plane of Interaction exist within a Plane of Time. The Plane of Time includes users' information seeking stages, represented in the model by Kuhlthau's Information Search Process Model (1993) and users' successive searches over time related to the same or evolving information problem (Spink, 1996). The three-dimensional model is a framework for the development of theoretical and empirical research to: 1. Integrate interactive IR research within information-seeking context 2. Explore users' interactive IR episodes within their changing information-seeking contexts 3. Examine relevance judgments within users' information seeking processes 4. Broaden relevance research to include the concurrent exploration of relevance judgment level, region and time

0.0018075579 = product of:
  0.014460463 = sum of:
    0.014460463 = product of:
      0.04338139 = sum of:
        0.04338139 = weight(_text_:problem in 2458) [ClassicSimilarity], result of:
          0.04338139 = score(doc=2458,freq=4.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.33160037 = fieldWeight in 2458, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2458)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

This paper reports on the findings from a longitudinal case study exploring Kuhlthau's information search process (ISP)-model in a group based academic setting. The research focus is on group members' activities and cognitive and emotional experiences during the task process of writing an assignment. It is investigated if group members' information behavior differ from the individual information seeker in the ISP-model and to what extent this behavior is influenced by contextual (work task) and social (group work) factors. Three groups of LIS students were followed during a 14 weeks period in 2004/2005 (10 participants). Quantitative and qualitative methods were employed, such as demographic surveys, process surveys, diaries and interviews. Similarities in behavior were found between group members and the individual in Kuhlthau's ISP-model with regard to the general stages of information seeking, the cognitive pattern associated with focus formulation and the tendency towards an increase in writing activities while searching activities decreased. Differences in behavior were also found, which were associated with contextual and social factors beyond the mere search process. It is concluded that the ISP-model does not fully comply with group members' problem solving process and the involved information seeking behavior. Further, complex academic problem solving seems to be even more complex when it is performed in a group based setting. The study contributes with a new conceptual understanding of students' behavior in small groups.

0.0018075579 = product of:
  0.014460463 = sum of:
    0.014460463 = product of:
      0.04338139 = sum of:
        0.04338139 = weight(_text_:problem in 2727) [ClassicSimilarity], result of:
          0.04338139 = score(doc=2727,freq=4.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.33160037 = fieldWeight in 2727, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2727)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

Professional, workplace searching is different from general searching, because it is typically limited to specific facets and targeted to a single answer. We have developed the semantic component (SC) model, which is a search feature that allows searchers to structure and specify the search to context-specific aspects of the main topic of the documents. We have tested the model in an interactive searching study with family doctors with the purpose to explore doctors' querying behaviour, how they applied the means for specifying a search, and how these features contributed to the search outcome. In general, the doctors were capable of exploiting system features and search tactics during the searching. Most searchers produced well-structured queries that contained appropriate search facets. When searches failed it was not due to query structure or query length. Failures were mostly caused by the well-known vocabulary problem. The problem was exacerbated by using certain filters as Boolean filters. The best working queries were structured into 2-3 main facets out of 3-5 possible search facets, and expressed with terms reflecting the focal view of the search task. The findings at the same time support and extend previous results about query structure and exhaustivity showing the importance of selecting central search facets and express them from the perspective of search task. The SC model was applied in the highest performing queries except one. The findings suggest that the model might be a helpful feature to structure queries into central, appropriate facets, and in returning highly relevant documents.

0.001789391 = product of:
  0.014315128 = sum of:
    0.014315128 = product of:
      0.042945385 = sum of:
        0.042945385 = weight(_text_:problem in 7438) [ClassicSimilarity], result of:
          0.042945385 = score(doc=7438,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.3282676 = fieldWeight in 7438, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0546875 = fieldNorm(doc=7438)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

Reviews the form and application of information abstraction in an information retrieval interface. Discusses the results of an explanatory study undertaken to develop an understanding of the information search strategy and the decision strategy used, and whether these strategies were related. Describes the design of an experimental interface to evaluate its effects. Discusses an experiment where data were collected on the activities of subjects while they used an interface to solve an alternative ranking problem. Presents an analysis of the data, conclusions and implications of the study

0.001789391 = product of:
  0.014315128 = sum of:
    0.014315128 = product of:
      0.042945385 = sum of:
        0.042945385 = weight(_text_:problem in 2422) [ClassicSimilarity], result of:
          0.042945385 = score(doc=2422,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.3282676 = fieldWeight in 2422, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2422)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Abstract

The transaction logs of 53 medical students' searches of a factual database, INQUIRER, of microbiology facts and concepts were analysed in detail to determine: the overall frequency of search moves; the interaction between the problem statement and the students' search strategies; the search moves selected by individual students; and the tactics (combinations of moves) used by the students. Over 200 searches were conducted in response to clinical scenarios in microbiology and the searches were made up of 853 search moves. Results indicate that students used only a few distinct moves and that their selection of moves varied by individual and by search stimulus. Patterns also emerged in students' combinations of search moves into search tactics