Search (17 results, page 1 of 1)

  • × author_ss:"Ford, N."
  1. Spink, A.; Wilson, T.; Ellis, D.; Ford, N.: Modeling users' successive searches in digital environments : a National Science Foundation/British Library funded study (1998) 0.11
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    Abstract
    As digital libraries become a major source of information for many people, we need to know more about how people seek and retrieve information in digital environments. Quite commonly, users with a problem-at-hand and associated question-in-mind repeatedly search a literature for answers, and seek information in stages over extended periods from a variety of digital information resources. The process of repeatedly searching over time in relation to a specific, but possibly an evolving information problem (including changes or shifts in a variety of variables), is called the successive search phenomenon. The study outlined in this paper is currently investigating this new and little explored line of inquiry for information retrieval, Web searching, and digital libraries. The purpose of the research project is to investigate the nature, manifestations, and behavior of successive searching by users in digital environments, and to derive criteria for use in the design of information retrieval interfaces and systems supporting successive searching behavior. This study includes two related projects. The first project is based in the School of Library and Information Sciences at the University of North Texas and is funded by a National Science Foundation POWRE Grant <http://www.nsf.gov/cgi-bin/show?award=9753277>. The second project is based at the Department of Information Studies at the University of Sheffield (UK) and is funded by a grant from the British Library <http://www.shef. ac.uk/~is/research/imrg/uncerty.html> Research and Innovation Center. The broad objectives of each project are to examine the nature and extent of successive search episodes in digital environments by real users over time. The specific aim of the current project is twofold: * To characterize progressive changes and shifts that occur in: user situational context; user information problem; uncertainty reduction; user cognitive styles; cognitive and affective states of the user, and consequently in their queries; and * To characterize related changes over time in the type and use of information resources and search strategies particularly related to given capabilities of IR systems, and IR search engines, and examine changes in users' relevance judgments and criteria, and characterize their differences. The study is an observational, longitudinal data collection in the U.S. and U.K. Three questionnaires are used to collect data: reference, client post search and searcher post search questionnaires. Each successive search episode with a search intermediary for textual materials on the DIALOG Information Service is audiotaped and search transaction logs are recorded. Quantitative analysis includes statistical analysis using Likert scale data from the questionnaires and log-linear analysis of sequential data. Qualitative methods include: content analysis, structuring taxonomies; and diagrams to describe shifts and transitions within and between each search episode. Outcomes of the study are the development of appropriate model(s) for IR interactions in successive search episodes and the derivation of a set of design criteria for interfaces and systems supporting successive searching.
  2. Ford, N.: Developing an automated extensible reference service (1997) 0.04
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    Abstract
    Reports results of a project to develop guidelines, based on the development of a prototype system in the field of medicine, for producing computerized reference services capable of increasing the range and quality of responses to information needs. For instance, an automatic system that can be available 24 hours a day simultaneously to multiple enquirers over an intranet or the Internet. Genuine information requests from a variety of medical information settings were collected and analyzed to form a typology of needs, focusing particularly on qualitative aspects. The typology was mapped on to computerized techniques to form a system specification and developed into a prototype WWW system
    Imprint
    London : British Library
    Series
    British Library research and innovation report; 75
  3. Ford, N.: Towards the evidence-based electronic library (1997) 0.02
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    Abstract
    The evidence based electronic library is defines as one which exploits the potential of electronic technology to enable users to make informed decisions based on the best available evidence
    Source
    Electronic library and visual information research: Proceedings of the 4th ELVIRA Conference (ELVIRA 4), Electronic Library and Visual Information Research, De Montfort University, Milton Keynes, May 1997. Ed. by C. Davies u. A. Ramsden
  4. Ford, N.; Lloyd-Williams, M.; Morris, C.: Intelligent adaptive systems for information delivery in the electronic library (1995) 0.01
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    Abstract
    Proposes the development of an 'intelligent document' as a key component of the future electronic library; in which the intelligent documents in a library collection may be thought of as the ability of documents or a collection of documents to adapt to differing characteristics of individual information seekers and users. Proposes the sort of intelligent document that could: identify particular learning strategies being used by individual users; classify them in terms of a model of learning capable of making explicit relationships between strategies, individual differences, learning tasks, and learning outcomes; and offer, on the basis of this model, individualized strategic advice (or take individualized strategic action) relating to how the user might most productively go forward. Describes results obtained during the study, conducted at the Department of Information Studies, Sheffield University, UK, involving PRECIS documents, fuzzy data analysis and artificial neural networks
    Source
    Electronic library and visual information research: Proceedings of the Second ELVIRA Conference (ELVIRA 2), Electronic Library and Visual Information Research, De Montfort University, Milton Keynes, May 1995. Ed. by M. Collier u, K. Arnold
  5. Ford, N.; Wood, F.: User modelling for the electronic library : a cognitive approach (1995) 0.01
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    Source
    Electronic library and visual information research: Proceedings of the First ELVIRA Conference (ELVIRA 1), Electronic Library and Visual Information Research, De Montfort University, Milton Keynes, May 1994. Ed. by M. Collier u, K. Arnold
  6. Ford, N.; Ford, R.: Towards a cognitive theory of information accessing : an empirical study (1993) 0.01
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    Abstract
    Reports on a project which aimed to simulate querying of an ideal system which could respond to any kind of questioning phrased in any way. 30 users accessed a system the knowledge base of which (unknown to them) included 2 human experts. The interactions between users and the system were logged and analyzed. The results reveal different information accessing strategies linked to individual user characteristics and retrieval effectiveness. Discusses implication for the design of improved information retrieval systems
  7. Ford, N.: Expert systems and artificial intelligence : an information manager's guide (1991) 0.01
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    Imprint
    London : Library Association
  8. Ford, N.: ¬The growth of understanding in information science : towards a developmental model (1999) 0.01
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    Date
    17. 1.2000 13:16:22
  9. Ford, N.: Introduction to information behaviour (2015) 0.01
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    Date
    22. 1.2017 16:45:48
  10. Ford, N.; Miller, D.; Moss, N.: Web search strategies and human individual differences : a combined analysis (2005) 0.01
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    Abstract
    This is the second of two articles published in this issue of JASIST reporting the results of a study investigating relationships between Web search strategies and a range of human individual differences. In this article we provide a combined analysis of the factor analyses previously presented separately in relation to each of three groups of human individual difference (study approaches, cognitive and demographic features, and perceptions of and approaches to Internet-based information seeking). It also introduces two series of regression analyses conducted an data spanning all three individual difference groups. The results are discussed in terms of the extent to which they satisfy the original aim of this exploratory research, namely to identify any relationships between search strategy and individual difference variables for which there is a prima facie case for more focused systematic study. It is argued that a number of such relationships do exist. The results of the project are summarized and suggestions are made for further research.
  11. Spink, A.; Wilson, T.D.; Ford, N.; Foster, A.; Ellis, D.: Information seeking and mediated searching : Part 1: theoretical framework and research design (2002) 0.01
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    Abstract
    In this issue we begin with the first of four parts of a five part series of papers by Spink, Wilson, Ford, Foster, and Ellis. Spink, et alia, in the first section of this report set forth the design of a project to test whether existing models of the information search process are appropriate for an environment of mediated successive searching which they believe characterizes much information seeking behavior. Their goal is to develop an integrated model of the process. Data were collected from 198 individuals, 87 in Texas and 111 in Sheffield in the U.K., with individuals with real information needs engaged in interaction with operational information retrieval systems by use of transaction logs, recordings of interactions with intermediaries, pre, and post search interviews, questionnaire responses, relevance judgments of retrieved text, and responses to a test of cognitive styles. Questionnaires were based upon the Kuhlthau model, the Saracevic model, the Ellis model, and incorporated a visual analog scale to avoid a consistency bias.
  12. Whittle, M.; Eaglestone, B.; Ford, N.; Gillet, V.J.; Madden, A.: Data mining of search engine logs (2007) 0.01
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    Abstract
    This article reports on the development of a novel method for the analysis of Web logs. The method uses techniques that look for similarities between queries and identify sequences of query transformation. It allows sequences of query transformations to be represented as graphical networks, thereby giving a richer view of search behavior than is possible with the usual sequential descriptions. We also perform a basic analysis to study the correlations between observed transformation codes, with results that appear to show evidence of behavior habits. The method was developed using transaction logs from the Excite search engine to provide a tool for an ongoing research project that is endeavoring to develop a greater understanding of Web-based searching by the general public.
  13. Birdi, B.; Ford, N.: Towards a new sociological model of fiction reading (2018) 0.01
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    Abstract
    Although much previous research has considered how we read, less attention has been paid to why we read, and the influence not only of individual or text-related factors on a reader's intention to read, but also of broader societal factors. This article presents a novel, empirically-based model of fiction reading in a public library context, taking into account the characteristics differentiating the readers of individual fiction genres. It begins with a literature review of factors motivating a reading choice or habit, and of the effects of reading different fiction genres, before introducing three previous studies by the first author into readers' attitudes towards, and engagement with, fiction and selected fiction genres. The methodologies are then summarized both for the three previous studies and the present study. The authors present a combined analysis that integrates the findings of the previous studies in order to generate a new, evidence-based model for the reading of fiction genres. Incorporating both demographic and motivational aspects, this model illustrates how the broad themes of the fiction reader profile interrelate, giving them a new causal ordering. Finally, there is a discussion of the implications of this work for library and information science research and practitioner communities.
  14. Ford, N.; Wood, F.; Walsh, C.: Cognitive styles and searching (1994) 0.01
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    Abstract
    The primary aim of the study was to investigate the effect of the absence of postings information on online searches and searching behaviour and these results were reported in Journal of information science 20(1994) no.1. The secondary aim, reported here, was to assess the cognitive styles of the participants to ensure that the population was sufficiently vareid in this respect and to investigate possible correlations between cognitive ability and searching behaviour. Throughout the project, searches were made by postgraduates at the department of information studies, University of Sheffield using the LISA database on CD-ROM. A total of 67 searchers carried out 275 searches, both with and without postings information. Reports significant differences in both searching behaviour and search outcomes obtained by those with different learning styles, with and without postings information. Significant correlations were found between cognitice styles and online searching. Searchers characterized by different learning styles tend to adopt different search strategies and strategies associated with comprehension and operation learning styles result in qualitatively different searching performance. Searching approaches associated with a versatile style are the most effective. Making feedback in the form of postings available enables comprehension and operation learners, and field independent searchers, to change their apporach in qualitatively different ways. Other findings are reported and discussed
  15. Woods, F.; Walsh, C.; Ford, N.: Effects of postings information on user searching behaviour (1994) 0.01
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    Imprint
    London : British Library
  16. Wood, F.; Ford, N.; Miller, D.; Sobczyk, G.; Duffin, R.: Information skills, searching behaviour and cognitive styles for student-centred learning : a computer-assisted learning approach (1996) 0.01
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    Source
    Journal of information science. 22(1996) no.2, S.79-92
  17. Ford, N.: Web-based learning through educational informatics : information science meets educational computing (2008) 0.00
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    Content
    Inhalt: Learning: Basic Processes - Introduction - Basic Information Processes - Integrating Themes - Where do Integrating Themes come From? - Theory Generation and Testing - Learning: Individual Differences - Styles of Learning - Levels of Learning - References - Education - Educational Philosophies and Learning Design - Autonomy and Mediation - Library and Information Science - Standards for Supporting Resource Discovery - Information Seeking and Autonomous Learning - Information Seeking as Conversations - ICT Developments: Resource Discovery - Tools and Techniques to Support Information Seeking and Resource Discovery - Metadata - Ontologies and the Semantic Web - Educational Metadata and Ontologies - ICT Developments: Learning Design And Teaching - Intelligent and Adaptive Tutoring Systems - Learning Environments and Interoperability - General ICT-Based Developments - Educational Opportunities Afforded by ICT Developments - Educational Informatics Systems: Individual Approaches - Metadata-Enabled Learning Resource Discovery - Adaptive Systems for Personalised Resource Discovery - Open Corpus Resource Discovery - From Supplantation to Metacognition - Educational Informatics Systems: Social Approaches - Alternative Pedagogies - Educational Informatics Systems that Learn - Community-Based Learning - Real World Learning - Theory and Practice - Educational Informatics Support for Critical Thinking and Creativity - Making Sense of Research: Generating Useful Real World Knowledge - Going Forward: Research Issues and the Future - Different Perspectives on Educational Informatics Developments - Types Of Evidence - Contingent Dependencies, and Object and Meta Languages - Reality Checking For Quality Control - Towards the Learning Web