Search (35 results, page 1 of 2)

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Abstract

Previous studies have shown that users' cognitive styles play an important role during web searching. However, only a limited number of studies have showed the relationship between cognitive styles and web search behavior. Most importantly, it is not clear which components of web search behavior are influenced by cognitive styles. This article examines the relationships between users' cognitive styles and their web searching and develops a model that portrays the relationship. The study uses qualitative and quantitative analyses based on data gathered from 50 participants. A questionnaire was utilized to collect participants' demographic information, and Riding's (1991) Cognitive Styles Analysis (CSA) test to assess their cognitive styles. Results show that users' cognitive styles influenced their information-searching strategies, query reformulation behavior, web navigational styles, and information-processing approaches. The user model developed in this study depicts the fundamental relationships between users' web search behavior and their cognitive styles. Modeling web search behavior with a greater understanding of users' cognitive styles can help information science researchers and information systems designers to bridge the semantic gap between the user and the systems. Implications of the research for theory and practice, and future work, are discussed.

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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

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Abstract

The rapid evolution of hypermedia technology makes it possible to access an immense volume of information in an educational setting. This research examines the relationship between individual differences (in particular, cognitive styles) and navigation strategies using a WWW-based hyper-media learning system. The hypermedia learning system was used at Sheffield University's Department of Information Studies. 20 Master students were pre-tested for their cognitive styles. Dependent variables included navigation patterns, selection of navigation tools, and reactions to the hypermedia system. the results indicated that students with differing cognitive styles and individual characteristics selected different access facilities and applied different navigation patterns. The implication of these findings and the role of individual differences in designing hypermedia-based learning systems are discussed

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Abstract

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

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Abstract

Search engines are very popular tools for collecting information from distributed resources. They provide not only search facilities, but they also offer directories for users to browse content divided into groups. In this paper, we've adopted an individual differences approach to explore user's attitudes towards various interface features provided by existing Web directories. Among a variety of individual differences, cognitive style is a particularly important characteristic that influences the effectiveness of information seeking. Empirical results indicate that users' cognitive styles influence their reactions to the organization of subject categories, presentation of the results, and screen layout. We developed a set of design guidelines an the basis of these results, and propose a flexible interface that adopts these guidelines to accommodate the preferences of different cognitive style groups.

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Abstract

Purpose - To explore information behavior from a psychological perspective by relating information seeking to personality traits and study approaches. Design/methodology/approach - The research design was quantitative and consisted of statistical analysis of three questionnaires, i.e. the NEO Five-Factor Inventory measuring personality, the ASSIST test measuring approaches to studying, and a questionnaire regarding information behavior. A total of 305 university students who were in the process of writing a Master's thesis responded to the questionnaires. Findings - Three information-seeking patterns - fast surfing, broad scanning and deep diving - emerged from the statistical analyses. Fast surfing could be related to a surface study approach and emotionality, as well as to low openness to experience and low conscientiousness. Broad scanning was linked to extraversion, openness, and competitiveness, whereas deep diving was a search pattern typical of analytical students with a deep and strategic study approach. Research limitations/implications - The results are based on descriptions of behaviour, not actual observations. Although the statistical results were significant, generalisable conclusions would have required more convincing figures. Further research is recommended in order to explore the three search styles in other populations and contexts. Originality/value - Information-seeking behaviour has not previously been studied in relation to the five-factor model, which is regarded as the most modern personality theory to date. Understanding of the psychological reasons behind different information-seeking styles is important for a holistic view of information behavior. These insights are valuable for researchers interested in user behavior as well as for practitioners like teachers and information professionals.

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Abstract

This article reports the results of a study of the role of individual differences in Internet searching. The dimensions of individual differences forming the focus of the research consisted of: cognitive styles; levels of prior experience; Internet perceptions; study approaches; age; and gender. Sixty-nine Masters students searched for information on a prescribed topic using the AItaVista search engine. Results were assessed using simple binary relevance judgements. Factor analysis and multiple regression revealed interesting differences, retrieval effectiveness being linked to: male gender; low cognitive complexity; an imager (as opposed to verbalizer) cognitive style; and a number of Internet perceptions and study approaches grouped here as indicating low self-efficacy. The implications of these findings for system development and for future research are discussed.

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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.

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Abstract

This article explores the effects of undergraduate students' mental models of the Web on their online searching behavior. Forty-four undergraduate students, mainly freshmen and sophomores, participated in the study. Subjects' mental models of the Web were treated as equally good styles and operationalized as drawings of their perceptions about the Web. Four types of mental models of the Web were identified based on the drawings and the associated descriptions: technical view, functional view, process view, and connection view. In the study, subjects were required to finish two search tasks. Searching behavior was measured from four aspects: navigation and performance, subjects' feelings about tasks and their own performances, query construction, and search patterns. The four mental model groups showed different navigation and querying behaviors, but the differences were not significant. Subjects' satisfaction with their own performances was found to be significantly correlated with the time to complete the task. The results also showed that the familiarity of the task to subjects had a major effect on their ways to start interaction, query construction, and search patterns.

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Date

22. 5.2005 19:53:09

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Date

22. 5.2005 19:52:29

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Source

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

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Date

5. 8.2006 13:22:44

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Date

25.12.1998 19:22:31

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Date

22. 3.2002 9:53:10

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Date

10. 4.2005 14:52:22

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Date

2. 7.2005 12:22:50

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Date

5. 6.2006 11:22:23

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Date

27. 5.2007 13:55:22

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Date

23.12.2007 12:22:16