Search (110 results, page 2 of 6)

0.008539819 = product of:
  0.034159277 = sum of:
    0.034159277 = weight(_text_:information in 4891) [ClassicSimilarity], result of:
      0.034159277 = score(doc=4891,freq=22.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.38596505 = fieldWeight in 4891, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4891)
  0.25 = coord(1/4)

Abstract

Purpose - This paper proposes a conceptual framework for creative information seeking drawing upon Weisberg's argument that creativity exists in everyone, and mapping the creative process described in the holistic model of creativity to the information seeking activities identified in the behavioural model of information seeking. Design/methodology/approach - Using scenarios of information seeking behaviour, mappings between the creative process and information seeking activities were refined and six stages for creative information seeking were proposed. Scenarios were also used to provide theoretical justifications for stages in creative information seeking. Findings - Evidence gathered from the scenarios seemed to indicate that the type of information seeking task may have an impact on the extent to which an information seeker exhibits all stages in the framework. This is on-going research. Part II of this paper aims to conduct empirical studies and gather evidence to verify the framework and examine this observation in more detail. Originality/value - Proposes a framework for creative information seeking.

0.008539819 = product of:
  0.034159277 = sum of:
    0.034159277 = weight(_text_:information in 1320) [ClassicSimilarity], result of:
      0.034159277 = score(doc=1320,freq=22.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.38596505 = fieldWeight in 1320, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=1320)
  0.25 = coord(1/4)

Abstract

User studies provide libraries with invaluable insight into their users' information needs and behaviors, allowing them to develop services that correspond to these needs. This insight has become even more important for libraries since the advent of the Internet. The Internet has brought about a development of information technologies and electronic information sources that have had a great impact on both the ways users search for information and the ways libraries manage information. Although humanists represent an important group of users for academic libraries, research studies into their information-seeking behavior since the advent of the Internet have been quite scarce (Ellis & Oldman, 2005) in the past decade. This study presents updated research on a group of humanists, Jewish studies scholars living in Israel, as information users in the digital age based on two categories: (a) the use of formal and informal information channels, and (b) the use of information technologies and their impact on humanistic research.

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2269-2279

0.008142399 = product of:
  0.032569595 = sum of:
    0.032569595 = weight(_text_:information in 4861) [ClassicSimilarity], result of:
      0.032569595 = score(doc=4861,freq=20.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.36800325 = fieldWeight in 4861, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4861)
  0.25 = coord(1/4)

Abstract

Research has demonstrated that people engage in multiple types of information-seeking strategies when using IR systems; unfortunately, current IR systems are designed to support only one type of information-seeking strategy: specifying queries. The limitation of existing IR systems calls for the need to investigate how to support users as they shift from one information-seeking strategy to another in their attemps to achieve their information-seeking goals. The focus of this study is on the in-depth investigation of shifts in the mico-level of user goals - 'interactive intention' and information-seeking strategies that users engage in within an information-seeking episode. 40 cases of library uses were selected from 4 different types of libraries for this study. The qualitative and quantitative analysis of the data identifies 4 types of shifts of interactive intentions and 3 types of information-seeking strategies. The results of the study are discussed to understand the nature of the interactive IR process, and to further suggest their implications for the design of adaptive IR systems

Source

Journal of the American Society for Information Science. 51(2000) no.9, S.841-857

0.008142399 = product of:
  0.032569595 = sum of:
    0.032569595 = weight(_text_:information in 5120) [ClassicSimilarity], result of:
      0.032569595 = score(doc=5120,freq=20.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.36800325 = fieldWeight in 5120, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=5120)
  0.25 = coord(1/4)

Abstract

The conceptual issues of information use are discussed by reviewing the major ideas of sense-making methodology developed by Brenda Dervin. Sense-making methodology approaches the phenomena of information use by drawing on the metaphor of gap-bridging. The nature of this metaphor is explored by utilizing the ideas of metaphor analysis suggested by Lakoff and Johnson. First, the source domain of the metaphor is characterized by utilizing the graphical illustrations of sense-making metaphors. Second, the target domain of the metaphor is analyzed by scrutinizing Dervin's key writings on information seeking and use. The metaphor of gap-bridging does not suggest a substantive conception of information use; the metaphor gives methodological and heuristic guidance to posit contextual questions as to how people interpret information to make sense of it. Specifically, these questions focus on the ways in which cognitive, affective, and other elements useful for the sense-making process are constructed and shaped to bridge the gap. Ultimately, the key question of information use studies is how people design information in context.

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.8, S.1116-1125

Theme

Information

0.008028513 = product of:
  0.03211405 = sum of:
    0.03211405 = weight(_text_:information in 2034) [ClassicSimilarity], result of:
      0.03211405 = score(doc=2034,freq=28.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3628561 = fieldWeight in 2034, product of:
          5.2915025 = tf(freq=28.0), with freq of:
            28.0 = termFreq=28.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2034)
  0.25 = coord(1/4)

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.

Source

Information processing and management. 44(2008) no.1, S.274-293

0.007947822 = product of:
  0.03179129 = sum of:
    0.03179129 = weight(_text_:information in 245) [ClassicSimilarity], result of:
      0.03179129 = score(doc=245,freq=14.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3592092 = fieldWeight in 245, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=245)
  0.25 = coord(1/4)

Abstract

A study of the "real world" Web information searching behavior of 206 college students over a 10-month period showed that, contrary to expectations, the users adopted a more passive or browsing approach to Web information searching and became more eclectic in their selection of Web hosts as they gained experience. The study used a longitudinal transaction log analysis of the URLs accessed during 5,431 user days of Web information searching to detect changes in information searching behavior associated with increased experience of using the Web. The findings have implications for the design of future Web information retrieval tools

Source

Journal of the American Society for Information Science and technology. 53(2002) no.2, S.67-78

0.007947822 = product of:
  0.03179129 = sum of:
    0.03179129 = weight(_text_:information in 6004) [ClassicSimilarity], result of:
      0.03179129 = score(doc=6004,freq=14.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3592092 = fieldWeight in 6004, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=6004)
  0.25 = coord(1/4)

Abstract

This article investigates whether information seeking patterns can be related to discipline differences, study approaches, and personality traits. A quantitative study of 305 master's thesis students' information behavior found that their information seeking tended to be either exploratory or precise. Statistical analyses showed that inner traits seemed more influential than discipline characteristics an information behavior. Exploration or specificity was manifested in terms of both the level and scope of information students wished to retrieve and the way they searched for it.

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.11, S.1440-1450

0.0077364687 = product of:
  0.030945875 = sum of:
    0.030945875 = weight(_text_:information in 600) [ClassicSimilarity], result of:
      0.030945875 = score(doc=600,freq=26.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.34965688 = fieldWeight in 600, product of:
          5.0990195 = tf(freq=26.0), with freq of:
            26.0 = termFreq=26.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=600)
  0.25 = coord(1/4)

Abstract

Recent studies show that humans engage in multitasking behaviors as they seek and search information retrieval (IR) systems for information on more than one topic at the same time. For example, a Web search session by a single user may consist of searching on single topics or multitasking. Findings are presented from four separate studies of the prevalence of multitasking information seeking and searching by Web, IR system, and library users. Incidence of multitasking identified in the four different studies included: (1) users of the Excite Web search engine who completed a survey form, (2) Excite Web search engine users filtered from an Excite transaction log from 20 December 1999, (3) mediated on-line databases searches, and (4) academic library users. Findings include: (1) multitasking information seeking and searching is a common human behavior, (2) users may conduct information seeking and searching on related or unrelated topics, (3) Web or IR multitasking search sessions are longer than single topic sessions, (4) mean number of topics per Web search ranged of 1 to more than 10 topics with a mean of 2.11 topic changes per search session, and (4) many Web search topic changes were from hobbies to shopping and vice versa. A more complex model of human seeking and searching levels that incorporates multitasking information behaviors is presented, and a theoretical framework for human information coordinating behavior (HICB) is proposed. Multitasking information seeking and searching is developing as major research area that draws together IR and information seeking studies toward a focus on IR within the context of human information behavior. Implications for models of information seeking and searching, IR/Web systems design, and further research are discussed.

Source

Journal of the American Society for Information Science and technology. 53(2002) no.8, S.639-652

0.0072827823 = product of:
  0.02913113 = sum of:
    0.02913113 = weight(_text_:information in 2561) [ClassicSimilarity], result of:
      0.02913113 = score(doc=2561,freq=16.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3291521 = fieldWeight in 2561, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=2561)
  0.25 = coord(1/4)

Abstract

During the fall 2001 semester 15 first-year undergraduates were interviewed about their information-seeking behavior. Undergraduates completed a short-answer questionnaire, the Measure of Epistemological Reflection, measuring their epistemological beliefs and searched the Web and an online public access catalog using tasks from the Reflective Judgment Interview that assessed their reflective judgment level. Undergraduates talked aloud while searching digital environments about the decisions they were making about the information they encountered while transaction analyses software (Lotus ScreenCam) recorded both their search moves and their decision-making through verbal protocol analysis. Analyses included examining the relationship between undergraduates' epistemological beliefs and reflective judgment and how they searched for information in these digital environments. Results indicated that there was a relationship between epistemological beliefs and reflective judgment and information-seeking behavior. Undergraduates' at higher stages of epistemological development exhibited the ability to handle conflicting information sources and to recognize authoritative information sources.

Source

Information processing and management. 40(2004) no.1, S.97-111

0.0072827823 = product of:
  0.02913113 = sum of:
    0.02913113 = weight(_text_:information in 4440) [ClassicSimilarity], result of:
      0.02913113 = score(doc=4440,freq=16.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3291521 = fieldWeight in 4440, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4440)
  0.25 = coord(1/4)

Abstract

Collating data from a number of log and questionnaire studies conducted largely into the use of a range of consumer health digital information platforms, Centre for Information Behaviour and the Evaluation of Research (Ciber) researchers describe some new thoughts on characterising (and naming) information seeking behaviour in the digital environment, and in so doing, suggest a new typology of digital users. The characteristic behaviour found is one of bouncing in which users seldom penetrate a site to any depth, tend to visit a number of sites for any given information need and seldom return to sites they once visited. They tend to "feed" for information horizontally, and whether they search a site of not depends heavily on "digital visibility", which in turn creates all the conditions for "bouncing". The question whether this type of information seeking represents a form of "dumbing down or up", and what it all means for publishers, librarians and information providers, who might be working on other, possible outdated usage paradigms, is discussed.

0.0072827823 = product of:
  0.02913113 = sum of:
    0.02913113 = weight(_text_:information in 4451) [ClassicSimilarity], result of:
      0.02913113 = score(doc=4451,freq=16.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3291521 = fieldWeight in 4451, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4451)
  0.25 = coord(1/4)

Abstract

Information seeking does not occur in a vacuum but invariably is motivated by some wider task. It is well accepted that to understand information seeking we must understand the task context within which it takes place. Writing is amongst the most common tasks within which information seeking is embedded. This paper considers how writing can be understood in order to account for embedded information seeking. Following Sharples, the paper treats writing as a design activity and explore parallels between the psychology of design and information seeking. Significant parallels can be found and ideas from the psychology of design offer explanations for a number of information seeking phenomena. Next, a design-oriented representation of writing tasks as a means of providing an account of phenomena such as information seeking uncertainty and focus refinement is developed. The paper illustrates the representation with scenarios describing the work of newspaper journalists.

0.0072827823 = product of:
  0.02913113 = sum of:
    0.02913113 = weight(_text_:information in 4493) [ClassicSimilarity], result of:
      0.02913113 = score(doc=4493,freq=16.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3291521 = fieldWeight in 4493, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4493)
  0.25 = coord(1/4)

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.

0.0072827823 = product of:
  0.02913113 = sum of:
    0.02913113 = weight(_text_:information in 3819) [ClassicSimilarity], result of:
      0.02913113 = score(doc=3819,freq=16.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3291521 = fieldWeight in 3819, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3819)
  0.25 = coord(1/4)

Abstract

The information search process (ISP) is a six-stage model of the users' holistic experience in the process of information seeking. The ISP model, based on two decades of empirical research, identifies three realms of experience: the affective (feelings), the cognitive (thoughts), and the physical (actions) common to each stage. These studies were among the first to investigate the affective aspects or the feelings of a person in the process of information seeking along with the cognitive and physical aspects. Central to the ISP is the notion that uncertainty, both affective and cognitive, increases and decreases in the process of information seeking. A principle of uncertainty for information seeking is proposed that states that information commonly increases uncertainty in the early stages of the search process. Increased uncertainty indicates a zone of intervention for intermediaries and system designers.

Source

Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates

0.006866273 = product of:
  0.027465092 = sum of:
    0.027465092 = weight(_text_:information in 4497) [ClassicSimilarity], result of:
      0.027465092 = score(doc=4497,freq=32.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3103276 = fieldWeight in 4497, product of:
          5.656854 = tf(freq=32.0), with freq of:
            32.0 = termFreq=32.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=4497)
  0.25 = coord(1/4)

Abstract

This book provides practical strategies which enable the advanced web user to locate information effectively and to form a precise evaluation of the accuracy of that information. Although the book provides a brief but thorough review of the technologies which are currently available for these purposes, most of the book concerns practical `future-proof' techniques which are independent of changes in the tools available. For example, the book covers: how to retrieve salient information quickly; how to remove or compensate for bias; and tuition of novice Internet users.

Content

Key Features - Importantly, the book enables readers to develop strategies which will continue to be useful despite the rapidly-evolving state of the Internet and Internet technologies - it is not about technological `tricks'. - Enables readers to be aware of and compensate for bias and errors which are ubiquitous an the Internet. - Provides contemporary information an the deficiencies in web skills of novice users as well as practical techniques for teaching such users. The Authors Dr Alison Stacey works at the Learning Resource Centre, Cambridge Regional College. Dr Adrian Stacey, formerly based at Cambridge University, is a software programmer. Readership The book is aimed at a wide range of librarians and other information professionals who need to retrieve information from the Internet efficiently, to evaluate their confidence in the information they retrieve and/or to train others to use the Internet. It is primarily aimed at intermediate to advanced users of the Internet. Contents Fundamentals of information retrieval from the Internet - why learn web searching technique; types of information requests; patterns for information retrieval; leveraging the technology: Search term choice: pinpointing information an the web - why choose queries carefully; making search terms work together; how to pick search terms; finding the 'unfindable': Blas an the Internet - importance of bias; sources of bias; usergenerated bias: selecting information with which you already agree; assessing and compensating for bias; case studies: Query reformulation and longer term strategies - how to interact with your search engine; foraging for information; long term information retrieval: using the Internet to find trends; automating searches: how to make your machine do your work: Assessing the quality of results- how to assess and ensure quality: The novice user and teaching internet skills - novice users and their problems with the web; case study: research in a college library; interpreting 'second hand' web information.

0.006812419 = product of:
  0.027249675 = sum of:
    0.027249675 = weight(_text_:information in 580) [ClassicSimilarity], result of:
      0.027249675 = score(doc=580,freq=14.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3078936 = fieldWeight in 580, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=580)
  0.25 = coord(1/4)

Abstract

This article presents the research findings of a study on task complexity and information-seeking activities in real-life work tasks. The focus was on perceived task complexity, which was determined according to the task performers' prior knowledge about the task ahead. This view on task complexity is closely related to research considering task uncertainty and analyzability. Information-seeking activities considered were a need to acquire different types of information and the subsequent use of different types of sources. The research data were mainly collected by (1) self-recorded journals that were filled out by municipal administrators in the course of performing their ordinary work duties (altogether 78 task diaries), and (2) subsequent interviews. The results indicated that there is a relatively strong relationship between types of information and types of sources. The effects of task complexity made experts more attractive as a source than other people and all types of documentary sources.

Source

Journal of the American Society for Information Science and technology. 53(2002) no.7, S.581-591

0.006812419 = product of:
  0.027249675 = sum of:
    0.027249675 = weight(_text_:information in 333) [ClassicSimilarity], result of:
      0.027249675 = score(doc=333,freq=14.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3078936 = fieldWeight in 333, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=333)
  0.25 = coord(1/4)

Abstract

Human information-seeking behavior is complicated. Activity theory is a powerful theoretical instrument to untangle the "complications." Based on activity theory, a comprehensive framework is proposed in Part I (Y. Xu, 2007) of this report to describe interactive information retrieval (IIR) behavior. A set of propositions is also proposed to describe the mechanisms governing users' cognitive activity and the interaction between users' cognitive states and manifested retrieval behavior. An empirical study is carried out to verify the propositions. The authors' experimental simulation of 81 participants in one search session indicates the propositions are largely supported. Their findings indicate IIR behavior is planned. Users adopt a divide-and-conquer strategy in information retrieval. The planning of information retrieval activity is also partially manifested in query revision tactics. Users learn from previously read documents. A user's interaction with a system ultimately changes the user's information need and the resulting relevance judgment, but the dynamics of topicality perception and novelty perception occur at different paces.

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.7, S.987-998

0.006812419 = product of:
  0.027249675 = sum of:
    0.027249675 = weight(_text_:information in 923) [ClassicSimilarity], result of:
      0.027249675 = score(doc=923,freq=14.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3078936 = fieldWeight in 923, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=923)
  0.25 = coord(1/4)

Abstract

Engineers face a wide range of gaps when trying to identify, acquire, and utilize information from the Web. To be able to avoid creating such gaps, it is essential to understand them in detail. This paper reports the results of a study of the real life gaps in information usage processes of 17 engineers. Using the critical incident interviewing technique, 65 examples of information usage processes were uncovered. An inductive analysis of these data, using the constant comparison method, yields five classes of identification gaps, of acquisition gaps, and of utilization gaps. Within these fifteen gap classes, 79 types of information usage gaps are identified. The results of this study confirm and extend existing studies on information usage gaps. Future research should examine whether such gaps need to be bridged and, if so, how they could be bridged.

Source

Information processing and management. 43(2007) no.5, S.1368-1382

0.006785332 = product of:
  0.027141329 = sum of:
    0.027141329 = weight(_text_:information in 3684) [ClassicSimilarity], result of:
      0.027141329 = score(doc=3684,freq=20.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.30666938 = fieldWeight in 3684, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3684)
  0.25 = coord(1/4)

Abstract

The rapid development of Web sites providing extensive coverage of a topic, coupled with the development of powerful search engines (designed to help users find such Web sites), suggests that users can easily find comprehensive information about a topic. In domains such as consumer healthcare, finding comprehensive information about a topic is critical as it can improve a patient's judgment in making healthcare decisions, and can encourage higher compliance with treatment. However, recent studies show that despite using powerful search engines, many healthcare information seekers have difficulty finding comprehensive information even for narrow healthcare topics because the relevant information is scattered across many Web sites. To date, no studies have analyzed how facts related to a search topic are distributed across relevant Web pages and Web sites. In this study, the distribution of facts related to five common healthcare topics across high-quality sites is analyzed, and the reasons underlying those distributions are explored. The analysis revealed the existence of few pages that had many facts, many pages that had few facts, and no single page or site that provided all the facts. While such a distribution conforms to other information-related phenomena, a deeper analysis revealed that the distributions were caused by a trade-off between depth and breadth, leading to the existence of general, specialized, and sparse pages. Furthermore, the results helped to make explicit the knowledge needed by searchers to find comprehensive healthcare information, and suggested the motivation to explore distribution-conscious approaches for the development of future search systems, search interfaces, Web page designs, and training.

Source

Journal of the American Society for Information Science and Technology. 56(2005) no.9, S.989-1003

0.006785332 = product of:
  0.027141329 = sum of:
    0.027141329 = weight(_text_:information in 4904) [ClassicSimilarity], result of:
      0.027141329 = score(doc=4904,freq=20.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.30666938 = fieldWeight in 4904, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4904)
  0.25 = coord(1/4)

Abstract

Recent studies suggest that the wide variability in type, detail, and reliability of online information motivate expert searchers to develop procedural search knowledge. In contrast to prior research that has focused an finding relevant sources, procedural search knowledge focuses an how to order multiple relevant sources with the goal of retrieving comprehensive information. Because such procedural search knowledge is neither spontaneously inferred from the results of search engines, nor from the categories provided by domainspecific portals, the lack of such knowledge leads most novice searchers to retrieve incomplete information. In domains like healthcare, such incomplete information can lead to dangerous consequences. To address the above problem, a new kind of domain portal called a Strategy Hub was developed and tested. Strategy Hubs provide critical search procedures and associated high-quality links to enable users to find comprehensive and accurate information. We begin by describing how we collaborated with physicians to systematically identify generalizable search procedures to find comprehensive information about a disease, and how these search procedures were made available through the Strategy Hub. A controlled experiment suggests that this approach can improve the ability of novice searchers in finding comprehensive and accurate information, when compared to general-purpose search engines and domain-specific portals. We conclude with insights an how to refine and automate the Strategy Hub design, with the ultimate goal of helping users find more comprehensive information when searching in unfamiliar domains.

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.4-24

0.006785332 = product of:
  0.027141329 = sum of:
    0.027141329 = weight(_text_:information in 0) [ClassicSimilarity], result of:
      0.027141329 = score(doc=0,freq=20.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.30666938 = fieldWeight in 0, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=0)
  0.25 = coord(1/4)

Abstract

As information becomes more ubiquitous and the demands that searchers have on search systems grow, there is a need to support search behaviors beyond simple lookup. Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Exploratory search describes an information-seeking problem context that is open-ended, persistent, and multifaceted, and information-seeking processes that are opportunistic, iterative, and multitactical. Exploratory searchers aim to solve complex problems and develop enhanced mental capacities. Exploratory search systems support this through symbiotic human-machine relationships that provide guidance in exploring unfamiliar information landscapes. Exploratory search has gained prominence in recent years. There is an increased interest from the information retrieval, information science, and human-computer interaction communities in moving beyond the traditional turn-taking interaction model supported by major Web search engines, and toward support for human intelligence amplification and information use. In this lecture, we introduce exploratory search, relate it to relevant extant research, outline the features of exploratory search systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratory search. Exploratory search is a new frontier in the search domain and is becoming increasingly important in shaping our future world.

Series

Synthesis lectures on information concepts, retrieval & services; 3