Search (9 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) 0.01
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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.: ¬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
  3. Ford, N.: Introduction to information behaviour (2015) 0.01
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    Date
    22. 1.2017 16:45:48
  4. Ford, N.: Expert systems and artificial intelligence : an information manager's guide (1991) 0.01
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    Abstract
    A guide to database management, online searching, text retrieval, data analysis, intelligent documents and more ...
  5. Ford, N.; Ford, R.: Towards a cognitive theory of information accessing : an empirical study (1993) 0.01
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    Source
    Information processing and management. 29(1993) no.5, S.569-585
  6. 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
  7. Ford, N.; Miller, D.; Moss, N.: Web search strategies and retrieval effectiveness : an empirical study (2002) 0.01
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    Abstract
    This paper reports the results of a study funded by the Arts and Humanities Research Board which sought to investigate links between Web search strategies and retrieval effectiveness. A total of 68 students, enrolled on masters programmes in librarianship, information management and information systems, searched for two topics using the AltaVista search engine. Logs of the resultant 341 queries, along with relevance judgements for over 4,000 retrieved items, were analysed using factor analysis and regression. The differing but complementary types and strengths of evidence produced by these two forms of analysis are discussed and presented. Retrieval effectiveness was associated positively with best-match searching and negatively with Boolean searching. The implications of these findings for Web searching are discussed.
  8. Li, X.; Cox, A.; Ford, N.; Creaser, C.; Fry, J.; Willett, P.: Knowledge construction by users : a content analysis framework and a knowledge construction process model for virtual product user communities (2017) 0.01
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    Abstract
    Purpose The purpose of this paper is to develop a content analysis framework and from that derive a process model of knowledge construction in the context of virtual product user communities, organization sponsored online forums where product users collaboratively construct knowledge to solve their technical problems. Design/methodology/approach The study is based on a deductive and qualitative content analysis of discussion threads about solving technical problems selected from a series of virtual product user communities. Data are complemented with thematic analysis of interviews with forum members. Findings The research develops a content analysis framework for knowledge construction. It is based on a combination of existing codes derived from frameworks developed for computer-supported collaborative learning and new categories identified from the data. Analysis using this framework allows the authors to propose a knowledge construction process model showing how these elements are organized around a typical "trial and error" knowledge construction strategy. Practical implications The research makes suggestions about organizations' management of knowledge activities in virtual product user communities, including moderators' roles in facilitation. Originality/value The paper outlines a new framework for analysing knowledge activities where there is a low level of critical thinking and a model of knowledge construction by trial and error. The new framework and model can be applied in other similar contexts.
  9. Ford, N.; Miller, D.; Moss, N.: Web search strategies and approaches to studying (2003) 0.00
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    Abstract
    In this issue Ford, Miller and Moss utilize 68 volunteers from a population of 250 Master's students to complete on the web three search tasks with clear fact based goals and three or less facets. One task required broadening the search concepts from those given, a second provided a specific terminology for one facet but required a second facet that would require translation, and the third required general to specific transformation. The students were measured as to their performance on Entewistle's Revised Inventory of Approaches to Studying providing values for ten study variables and asked to assess their experience on the Internet, with Alta Vista, and with Boolean search. Searches were conducted on Alta Vista using Netscape Navigator 4 with participants free to choose and switch Boolean, best match or combined search modes at will while a front end script recorded all submitted searches and help access. Search related variables extracted were from Boolean only queries, best match only queries, and combined queries. Factor analyses were conducted on all variables for each search mode for each search. In task one Boolean is differentiated from best match search by sharing high loads on active interest, intention to reproduce, fear of failure, and relating ideas. The combined searcher is linked with the best match searcher with low active interest, low intention to reproduce and low fear of failure. In task 2 Boolean is differentiated from best match search by sharing high loads on intention to reproduce and low on intention to understand. Best match loads positively with intention to understand and negatively with intention to reproduce. Combined searching linked with both good and with poor time management. In task 3 the loads mimic task 1. It seems Boolean is consistently linked to a reproductive rather than a meaning seeking approach, but also with high levels of interest and fear of failure. Best match associates with the converse of these measures.