Search (35 results, page 2 of 2)

  • × author_ss:"Cole, C."
  • × language_ss:"e"
  1. Cole, C.; Leide, J.E.; Large, A,; Beheshti, J.; Brooks, M.: Putting it together online : information need identification for the domain novice user (2005) 0.01
    0.009301366 = product of:
      0.027904097 = sum of:
        0.027904097 = weight(_text_:information in 3469) [ClassicSimilarity], result of:
          0.027904097 = score(doc=3469,freq=20.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.30666938 = fieldWeight in 3469, 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=3469)
      0.33333334 = coord(1/3)
    
    Abstract
    Domain novice users in the beginning stages of researching a topic find themselves searching for information via information retrieval (IR) systems before they have identified their information need. Pre-Internet access technologies adapted by current IR systems poorly serve these domain novice users, whose behavior might be characterized as rudderless and without a compass. In this article we describe a conceptual design for an information retrieval system that incorporates standard information need identification classification and subject cataloging schemes, called the INIIReye System, and a study that tests the efficacy of the innovative part of the INIIReye System, called the Associative Index. The Associative Index helps the user put together his or her associative thoughts-Vannevar Bush's idea of associative indexing for his Memex machine that he never actually described. For the first time, data from the study reported here quantitatively supports the theoretical notion that the information seeker's information need is identified through transformation of his/her knowledge structure (i.e., the seeker's cognitive map or perspective an the task far which information is being sought).
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.684-694
  2. Cole, C.; Mandelblatt, B.: Using Kintsch's discourse comprehension theory to model the user's coding of an informative message from an enabling information retrieval system (2000) 0.01
    0.008319394 = product of:
      0.02495818 = sum of:
        0.02495818 = weight(_text_:information in 5161) [ClassicSimilarity], result of:
          0.02495818 = score(doc=5161,freq=16.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.27429342 = fieldWeight in 5161, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5161)
      0.33333334 = coord(1/3)
    
    Abstract
    With new interactive technology, information science can use its traditional information focus to increase user satisfaction by designing information retrieval systems (IRSs) that inform the user about her task, and help the user get the task done, while the user is on-line interacting with the system. By doing so, the system enables the user to perform the task for which the information is being sought. In previous articles, we modeled the information flow and coding operations of a user who has just received an informative IRS message, dividing the user's processing of the IRS message into three subsystem levels. In this article, we use Kintsch's proposition-based construction-integration theory of discourse comprehension to further detail the user coding operations that occur in each of the three subsystems. Our enabling devices are designed to facilitate a specific coding operation in a specific subsystem. In this article, we describe an IRS device made up of two separate parts that enable the user's (1) decoding and (2) encoding of an IRS message in the Comprehension subsystem
    Source
    Journal of the American Society for Information Science. 51(2000) no.11, S.1033-1046
    Theme
    Information
  3. Cole, C.: ¬A rebuttal of the book review of the book titled "The Consciousness' Drive: Information Need and the Search for Meaning" : mapping cognitive and document spaces (2020) 0.01
    0.008319394 = product of:
      0.02495818 = sum of:
        0.02495818 = weight(_text_:information in 5656) [ClassicSimilarity], result of:
          0.02495818 = score(doc=5656,freq=4.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.27429342 = fieldWeight in 5656, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.078125 = fieldNorm(doc=5656)
      0.33333334 = coord(1/3)
    
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.2, S.242
  4. Spink, A.; Cole, C.: New directions in cognitive information retrieval : introduction (2005) 0.01
    0.007804283 = product of:
      0.023412848 = sum of:
        0.023412848 = weight(_text_:information in 647) [ClassicSimilarity], result of:
          0.023412848 = score(doc=647,freq=22.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.25731003 = fieldWeight in 647, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03125 = fieldNorm(doc=647)
      0.33333334 = coord(1/3)
    
    Abstract
    Humans have used electronic information retrieval (IR) systems for more than 50 years as they evolved from experimental systems to full-scale Web search engines and digital libraries. The fields of library and information science (LIS), cognitive science, human factors and computer science have historically been the leading disciplines in conducting research that seeks to model human interaction with IR systems for all kinds of information related behaviors. As technology problems have been mastered, the theoretical and applied framework for studying human interaction with IR systems has evolved from systems-centered to more user-centered, or cognitive-centered approaches. However, cognitive information retrieval (CIR) research that focuses on user interaction with IR systems is still largely under-funded and is often not included at computing and systems design oriented conferences. But CIR-focused research continues, and there are signs that some IR systems designers in academia and the Web search business are realizing that user behavior research can provide valuable insights into systems design and evaluation. The goal of our book is to provide an overview of new CIR research directions. This book does not provide a history of the research field of CIR. Instead, the book confronts new ways of looking at the human information condition with regard to our increasing need to interact with IR systems. The need has grown due to a number of factors, including the increased importance of information to more people in this information age. Also, IR was once considered document-oriented, but has now evolved to include multimedia, text, and other information objects. As a result, IR systems and their complexity have proliferated as users and user purposes for using them have also proliferated. Human interaction with IR systems can often be frustrating as people often lack an understanding of IR system functionality.
    Series
    The information retrieval series, vol. 19
    Source
    New directions in cognitive information retrieval. Eds.: A. Spink, C. Cole
  5. Leide, J.E.; Cole, C.; Beheshti, J.; Large, A.; Lin, Y.: Task-based information retrieval : structuring undergraduate history essays for better course evaluation using essay-type visualizations (2007) 0.01
    0.00778208 = product of:
      0.02334624 = sum of:
        0.02334624 = weight(_text_:information in 460) [ClassicSimilarity], result of:
          0.02334624 = score(doc=460,freq=14.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.256578 = fieldWeight in 460, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=460)
      0.33333334 = coord(1/3)
    
    Abstract
    When domain novices are in C.C. Kuhlthau's (1993) Stage 3, the exploration stage of researching an assignment, they often do not know their information need; this causes them to go back to Stage 2, the topic-selection stage, when they are selecting keywords to formulate their query to an Information Retrieval (IR) system. Our hypothesis is that instead of going backward, they should be going forward toward a goal state-the performance of the task for which they are seeking the information. If they can somehow construct their goal state into a query, this forward-looking query better operationalizes their information need than does a topic-based query. For domain novice undergraduates seeking information for a course essay, we define their task as selecting a high-impact essay structure which will put the students' learning on display for the course instructor who will evaluate the essay. We report a study of first-year history undergraduate students which tested the use and effectiveness of "essay type" as a task-focused query-formulation device. We randomly assigned 78 history undergraduates to an intervention group and a control group. The dependent variable was essay quality, based on (a) an evaluation of the student's essay by a research team member, and (b) the marks given to the student's essay by the course instructor. We found that conscious or formal consideration of essay type is inconclusive as a basis of a task-focused query-formulation device for IR.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.9, S.1227-1241
  6. Cole, C.; Beheshti, J.; Abuhimed, D.; Lamoureux, I.: ¬The end game in Kuhlthau's ISP Model : knowledge construction for grade 8 students researching an inquiry-based history project (2015) 0.01
    0.00778208 = product of:
      0.02334624 = sum of:
        0.02334624 = weight(_text_:information in 2265) [ClassicSimilarity], result of:
          0.02334624 = score(doc=2265,freq=14.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.256578 = fieldWeight in 2265, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2265)
      0.33333334 = coord(1/3)
    
    Abstract
    This article reports on a field study of the information behavior of Grade 8 students researching an inquiry-based class history project. Kuhlthau's 7-stage Information Search Process (ISP) model forms the conceptual framework for the study. The aim of the study was to define an end game for the ISP model by answering the following question: How do the student participants' feelings, thoughts, and information behavior lead to the construction of new knowledge? Study findings tentatively indicate that knowledge construction results from an iterative process between the student and information, which can be divided into 3 phases. In the first phase, the students formulate questions from their previous knowledge to start knowledge construction; in the second phase, newly found topic information causes students to ask questions; and in the third phase, the students answer the questions asked by this newly found topic information. Based on these results and Kuhlthau's own ISP stage 7 assessment definition of the ISP model end game, we propose a model of knowledge construction inserted as an extra row in the ISP model framework.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2249-2266
  7. Cole, C.; Leide, J.; Beheshti, J.; Large, A.; Brooks, M.: Investigating the Anomalous States of Knowledge hypothesis in a real-life problem situation : a study of history and psychology undergraduates seeking information for a course essay (2005) 0.01
    0.0072048064 = product of:
      0.02161442 = sum of:
        0.02161442 = weight(_text_:information in 4814) [ClassicSimilarity], result of:
          0.02161442 = score(doc=4814,freq=12.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.23754507 = fieldWeight in 4814, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4814)
      0.33333334 = coord(1/3)
    
    Abstract
    The authors present a study of the real-life information needs of 59 McGill University undergraduates researching essay topics for either a history or psychology course, interviewed just after they had selected their essay topic. The interview's purpose was to transform the undergraduate's query from general topic terms, based an vague conceptions of their essay topic, to an information need-based query. To chart the transformation, the authors investigate N. J. Belkin, R. N. Oddy, and H. M. Brooks' Anomalous States of Knowledge (ASK) hypothesis (1982a, 1982b), which links the user's ASK to a relevant document set via a common code based an structural facets. In the present study an interoperable structural code based an eight essay styles is created, then notions of structural facets compatible with a highimpact essay structure are presented. The important findings of the study are: (a) the undergraduates' topic statements and terms derived from it do not constitute an effective information need statement because for most of the subjects in the study the topic terms conformed to a low-impact essay style; (b) essay style is an effective interoperable structural code for charting the evolution of the undergraduate's knowledge state from ASK to partial resolution of the ASK in an information need statement.
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.14, S.1544-1554
  8. Kennedy, L.; Cole, C.; Carter, S.: Connecting online search strategies and information needs : a user-centered, focus-labeling approach (1997) 0.01
    0.007132395 = product of:
      0.021397185 = sum of:
        0.021397185 = weight(_text_:information in 627) [ClassicSimilarity], result of:
          0.021397185 = score(doc=627,freq=6.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.23515764 = fieldWeight in 627, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0546875 = fieldNorm(doc=627)
      0.33333334 = coord(1/3)
    
    Abstract
    When assisting undergraduate students in accessing materials, academic librarians must balance the task of conducting reference interviews with instructing students on how to use databases (OPACs, CD-ROM and online databases). Presents a method for connecting these tasks via the construction of a search strategy which is wholly dependent on the user's information needs. Using this method, the librarian assesses and explicitly labels the student's information need (using a diagnostoc tool based on Kuhlthau's and Taylor's concept of 'focus'), then assigns the most appropriate online search strategy for the satisfaction of this need
  9. Cole, C.; Leide, J.E.: Using the user's mental model to guide the integration of information space into information need (2003) 0.01
    0.0065770587 = product of:
      0.019731175 = sum of:
        0.019731175 = weight(_text_:information in 1237) [ClassicSimilarity], result of:
          0.019731175 = score(doc=1237,freq=10.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.21684799 = fieldWeight in 1237, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1237)
      0.33333334 = coord(1/3)
    
    Abstract
    The study reported here tested the efficacy of an information retrieval system output summary and visualization scheme for undergraduates taking a Vietnam War history who were in Kuhlthau's Stage 3 of researching a history essay. The visualization scheme consisted of (a) the undergraduate's own visualization of his or her essay topic, drawn by the student an the bottom half of a sheet of paper, and (b) a visualization of the information space (determined by index term counting) an the tophalf of the same page. To test the visualization scheme, students enrolled in a Vietnam War history course were randomly assigned to either the visualization scheme group, who received a high recall search output, or the nonvisualization group, who received a high precision search output. The dependent variable was the mark awarded the essay by the course instructor. There was no significant difference between the mean marks for the two groups. We were pleasantly surprised with this result given the bad reputation of high recall as a practical search strategy. We hypothesize that a more proactive visualization system is needed that takes the student through the process of using the visualization scheme, including steps that induce student cognition about task-subject objectives.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.1, S.39-46
  10. Spink, A.; Cole, C.: New directions in cognitive information retrieval : conclusion and further research (2005) 0.01
    0.006225664 = product of:
      0.018676993 = sum of:
        0.018676993 = weight(_text_:information in 637) [ClassicSimilarity], result of:
          0.018676993 = score(doc=637,freq=14.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.20526241 = fieldWeight in 637, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03125 = fieldNorm(doc=637)
      0.33333334 = coord(1/3)
    
    Abstract
    New Directions in Cognitive Information Retrieval (IR) gathers user or cognitive approaches to IR research into one volume. The group of researchers focus on a middleground perspective between system and user. They ask the question: What is the nexus between the wider context of why and how humans behave when seeking information and the technological and other constraints that determine the interaction between user and machine? These researchers' concern for the application of user/cognitive-oriented research to IR system design thus serves as a meeting ground linking computer scientists with their largely system performance concerns and the social science research that examines human information behavior in the wider context of how human perception and cognitive mechanisms function, and the work and social frameworks in which we live. The researchers in this volume provide an in-depth revaluation of the concepts that form the basis of current IR retrieval system design. Current IR systems are in a certain sense based on design conceptualizations that view - the user's role in the user-system interaction as an input and monitoring mechanism for system performance; - the system's role in the user-system interaction as a data acquisition system, not an information retrieval system; and - the central issue in the user-system interaction as the efficacy of the system's matching algorithms, matching the user request statement to representations of the document set contained in the system's database. But the era of matching-focused approaches to interactive IR appears to be giving way to a concern for developing interactive systems to facilitate collaboration between users in the performance of their work and social tasks. There is room for cognitive approaches to interaction to break in here.
    Series
    The information retrieval series, vol. 19
    Source
    New directions in cognitive information retrieval. Eds.: A. Spink, C. Cole
  11. Cole, C.: Name collection by Ph.D. history students : inducing expertise (2000) 0.01
    0.0058827 = product of:
      0.017648099 = sum of:
        0.017648099 = weight(_text_:information in 4588) [ClassicSimilarity], result of:
          0.017648099 = score(doc=4588,freq=8.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.19395474 = fieldWeight in 4588, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4588)
      0.33333334 = coord(1/3)
    
    Abstract
    This article reports a study of 45 Ph.D. history students and the effect of a technique of information seeking on their role as experts in training. It is assumed that the primary task of these students is to prove in their thesis that they have crossed over the line separating novice and expert, which they do by producing a thesis that makes both a substantial and original contribution to knowledge. Their information-seeking behavior, therefore, is a function of this primary task. It was observed that many of the Ph.D. students collected 'names' of people, places and things and assembled data about these names on 3x5 inch index cards. The 'names' were used as access points to the primary and secondary source material they had to read for their thesis. Besides using name collection as an information accessing technique, the larger importance of collecting 'names' is what it does for the Ph.D. student in terms of their primary task (to produce a thesis that proves they have become experts in their field). The article's thesis is that by inducing certain characteristics of expert thinking, the name collection technique's primary purpose is to push the student across the line into expert thinking
    Source
    Journal of the American Society for Information Science. 51(2000) no.5, S.444-455
  12. Yi, K.; Beheshti, J.; Cole, C.; Leide, J.E.; Large, A.: User search behavior of domain-specific information retrieval systems : an analysis of the query logs from PsycINFO and ABC-Clio's Historical Abstracts/America: History and Life (2006) 0.01
    0.0058827 = product of:
      0.017648099 = sum of:
        0.017648099 = weight(_text_:information in 197) [ClassicSimilarity], result of:
          0.017648099 = score(doc=197,freq=8.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.19395474 = fieldWeight in 197, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=197)
      0.33333334 = coord(1/3)
    
    Abstract
    The authors report the findings of a study that analyzes and compares the query logs of PsycINFO for psychology and the two history databases of ABC-Clio: Historical Abstracts and America: History and Life to establish the sociological nature of information need, searching, and seeking in history versus psychology. Two problems are addressed: (a) What level of query log analysis - by individual query terms, by co-occurrence of word pairs, or by multiword terms (MWTs) - best serves as data for categorizing the queries to these two subject-bound databases; and (b) how can the differences in the nature of the queries to history versus psychology databases aid in our understanding of user search behavior and the information needs of their respective users. The authors conclude that MWTs provide the most effective snapshot of user searching behavior for query categorization. The MWTs to ABC-Clio indicate specific instances of historical events, people, and regions, whereas the MWTs to PsycINFO indicate concepts roughly equivalent to descriptors used by PsycINFO's own classification scheme. The average length of queries is 3.16 terms for PsycINFO and 3.42 for ABC-Clio, which breaks from findings for other reference and scholarly search engine studies, bringing query length closer in line to findings for general Web search engines like Excite.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1208-1220
  13. Beheshti, J.; Cole, C.; Abuhimed, D.; Lamoureux, I.: Tracking middle school students' information behavior via Kuhlthau's ISP Model : temporality (2015) 0.01
    0.0058827 = product of:
      0.017648099 = sum of:
        0.017648099 = weight(_text_:information in 1819) [ClassicSimilarity], result of:
          0.017648099 = score(doc=1819,freq=8.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.19395474 = fieldWeight in 1819, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1819)
      0.33333334 = coord(1/3)
    
    Abstract
    The article reports a field study investigating the temporality of the information behavior of 44 grade 8 students from initiation to completion of their school inquiry-based history project. The conceptual framework for the study is Kuhlthau's 6-stage information-search process (ISP) model. The objective of the study is to test and extend ISP model concepts. As per other ISP model studies, our study measured the evolution of the feelings, thoughts, and actions of the study participants over the 3-month period of their class project. The unique feature of this study is the unlimited access the researchers had to a real-life history class, resulting in 12 separate measuring periods. We report 2 important findings of the study. First, through factor analysis, we determined 5 factors that define the temporality of completing an inquiry-based project for these grade 8 students. The second main finding is the importance of the students' consultations with their classmates, siblings, parents, and teachers in the construction of the knowledge necessary to complete their project.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.5, S.943-960
  14. Cole, C.; Beheshti, J.; Leide, J. E.; Large, A.: Interactive information retrieval : bringing the user to a selection state (2005) 0.01
    0.0052616466 = product of:
      0.01578494 = sum of:
        0.01578494 = weight(_text_:information in 36) [ClassicSimilarity], result of:
          0.01578494 = score(doc=36,freq=10.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.1734784 = fieldWeight in 36, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03125 = fieldNorm(doc=36)
      0.33333334 = coord(1/3)
    
    Abstract
    There have been various approaches to conceptualizing interactive information retrieval (IR), which can be generally divided into system and user approaches (Hearst, 1999; cf. also Spink, 1997). Both system and user approaches define user-system interaction in terms of the system and the user reacting to the actions or behaviors of the other: the system reacts to the user's input; the user to the output of the system (Spink, 1997). In system approach models of the interaction, e.g., Moran (1981), "[T]he user initiates an action or operation and the system responds in some way which in turn leads the user to initiate another action and so on" (Beaulieu, 2000, p. 433). In its purest form, the system approach models the user as a reactive part of the interaction, with the system taking the lead (Bates, 1990). User approaches, on the other hand, in their purest form wish to insert a model of the user in all its socio-cognitive dimensions, to the extent that system designers consider such approaches impractical (Vakkari and Jarvelin, 2005, Chap. 7, this volume). The cognitive approach to IR interaction attempts to overcome this divide (Ruthven, 2005, Chap. 4, this volume; Vakkari and Jarvelin, 2005 Chap. 7, this volume) by representing the cognitive elements of both system designers and the user in the interaction model (Larsen and Ingwersen, 2005 Chap. 3, this volume). There are cognitive approach researchers meeting in a central ground from both the system and user side. On the system side, are computer scientists employing cognitive research to design more effective IR systems from the point of view of the user's task (Nathan, 1990; Fischer, Henninger, and Redmiles, 1991; O'Day and Jeffries, 1993; Russell et al., 1993; Kitajima and Polson, 1996; Terwilliger and Polson, 1997). On the user side are cognitive approach researchers applying methods, concepts and models from psychology to design systems that are more in tune with how users acquire information (e.g., Belkin, 1980; Ford (2005, Chap. 5, this volume); Ingwersen (Larsen and Ingwersen, 2005, Chap. 3, this volume); Saracevic, 1996; Vakkari (Vakkari and Jarvelin, 2005, Chap. 7, this volume)).
    Series
    The information retrieval series, vol. 19
    Source
    New directions in cognitive information retrieval. Eds.: A. Spink, C. Cole
  15. Cole, C.; Lin, Y.; Leide, J.; Large, A.; Beheshti, J.: ¬A classification of mental models of undergraduates seeking information for a course essay in history and psychology : preliminary investigations into aligning their mental models with online thesauri (2007) 0.00
    0.0040756543 = product of:
      0.0122269625 = sum of:
        0.0122269625 = weight(_text_:information in 625) [ClassicSimilarity], result of:
          0.0122269625 = score(doc=625,freq=6.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.1343758 = fieldWeight in 625, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.03125 = fieldNorm(doc=625)
      0.33333334 = coord(1/3)
    
    Abstract
    The article reports a field study which examined the mental models of 80 undergraduates seeking information for either a history or psychology course essay when they were in an early, exploration stage of researching their essay. This group is presently at a disadvantage when using thesaurus-type schemes in indexes and online search engines because there is a disconnect between how domain novice users of IR systems represent a topic space and how this space is represented in the standard IR system thesaurus. The study attempted to (a) ascertain the coding language used by the 80 undergraduates in the study to mentally represent their topic and then (b) align the mental models with the hierarchical structure found in many thesauri. The intervention focused the undergraduates' thinking about their topic from a topic statement to a thesis statement. The undergraduates were asked to produce three mental model diagrams for their real-life course essay at the beginning, middle, and end of the interview, for a total of 240 mental model diagrams, from which we created a 12-category mental model classification scheme. Findings indicate that at the end of the intervention, (a) the percentage of vertical mental models increased from 24 to 35% of all mental models; but that (b) 3rd-year students had fewer vertical mental models than did 1st-year undergraduates in the study, which is counterintuitive. The results indicate that there is justification for pursuing our research based on the hypothesis that rotating a domain novice's mental model into a vertical position would make it easier for him or her to cognitively connect with the thesaurus's hierarchical representation of the topic area.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.2092-2104