Search (41 results, page 1 of 3)

  • × language_ss:"e"
  • × theme_ss:"Benutzerstudien"
  • × theme_ss:"Suchtaktik"
  • × year_i:[2000 TO 2010}
  1. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.05
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    Source
    Library and information science research. 22(2000) no.4, S.371-382
    Type
    a
  2. Cothey, V.: ¬A longitudinal study of World Wide Web users' information-searching behavior (2002) 0.01
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    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
    Type
    a
  3. Nicholas, D.; Huntington, P.; Williams, P.; Dobrowolski, T.: Re-appraising information seeking behaviour in a digital environment : bouncers, checkers, returnees and the like (2004) 0.01
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    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.
    Type
    a
  4. Spink, A.; Ozmutlu, H.C.; Ozmutlu, S.: Multitasking information seeking and searching processes (2002) 0.01
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    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
    Type
    a
  5. Baruchson-Arbib, S.; Bronstein, J.: Humanists as information users in the digital age : the case of Jewish studies scholars in Israel (2007) 0.01
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    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
    Type
    a
  6. Spink, A.; Park, M.; Koshman, S.: Factors affecting assigned information problem ordering during Web search : an exploratory study (2006) 0.01
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    Abstract
    Multitasking is the human ability to handle the demands of multiple tasks. Multitasking behavior involves the ordering of multiple tasks and switching between tasks. People often multitask when using information retrieval (IR) technologies as they seek information on more than one information problem over single or multiple search episodes. However, limited studies have examined how people order their information problems, especially during their Web search engine interaction. The aim of our exploratory study was to investigate assigned information problem ordering by forty (40) study participants engaged in Web search. Findings suggest that assigned information problem ordering was influenced by the following factors, including personal interest, problem knowledge, perceived level of information available on the Web, ease of finding information, level of importance and seeking information on information problems in order from general to specific. Personal interest and problem knowledge were the major factors during assigned information problem ordering. Implications of the findings and further research are discussed. The relationship between information problem ordering and gratification theory is an important area for further exploration.
    Source
    Information processing and management. 42(2006) no.5, S.1366-1378
    Type
    a
  7. 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.
    Source
    Journal of the American Society for Information Science and Technology. 53(2002) no.9, S.695-703
    Type
    a
  8. Heinström, J.: Fast surfing, broad scanning and deep diving : the influence of personality and study approach on students' information-seeking behavior (2005) 0.01
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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.
    Type
    a
  9. Heinström, J.: Broad exploration or precise specificity : two basic information seeking patterns among students (2006) 0.01
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    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
    Type
    a
  10. Whitmire, E.: ¬The relationship between undergraduates' epistemological beliefs, reflective judgment, and their information-seeking behavior (2004) 0.01
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    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
    Type
    a
  11. Wilson, T.D.; Ford, N.; Ellis, D.; Foster, A.; Spink, A.: Information seeking and mediated searching : Part 2: uncertainty and Its correlates (2002) 0.01
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    Abstract
    In "Part 2. Uncertainty and Its Correlates,'' where Wilson is the primary author, after a review of uncertainty as a concept in information seeking and decision research, it is hypothesized that if the Kuhlthau problem solving stage model is appropriate the searchers will recognize the stage in which they currently are operating. Secondly to test Wilson's contention that operationalized uncertainty would be useful in characterizing users, it is hypothesized that uncertainty will decrease as the searcher proceeds through problem stages and after the completion of the search. A review of pre and post search interviews reveals that uncertainty can be operationalized, and that academic researchers have no difficulty with a stage model of the information seeking process. Uncertainty is unrelated to sex, age, or discipline, but is related to problem stage and domain knowledge. Both concepts appear robust.
    Source
    Journal of the American Society for Information Science and Technology. 53(2002) no.9, S.704-715
    Type
    a
  12. Ford, N.; Wilson, T.D.; Foster, A.; Ellis, D.; Spink, A.: Information seeking and mediated searching : Part 4: cognitive styles in information seeking (2002) 0.01
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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.
    Source
    Journal of the American Society for Information Science and Technology. 53(2002) no.9, S.728-735
    Type
    a
  13. Meho, L.I.; Tibbo, H.R.: Modeling the information-seeking behavior of social scientists Ellis's study revisited (2003) 0.01
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    Abstract
    Meho and Tibbo show that the Ellis model of information seeking applies to a web environment by way of a replication of his study in this case using behavior of social science faculty studying stateless nations, a group diverse in skills, origins, and research specialities. Data were collected by way of e-mail interviews. Material on stateless nations was limited to papers in English on social science topics published between 1998 and 2000. Of these 251 had 212 unique authors identified as academic scholars and had sufficient information to provide e-mail addresses. Of the 139 whose addresses were located, 9 who were physically close were reserved for face to face interviews, and of the remainder 60 agreed to participate and responded to the 25 open ended question interview. Follow up questions generated a 75% response. Of the possible face to face interviews five agreed to participate and provided 26 thousand words as opposed to 69 thousand by the 45 e-mail participants. The activities of the Ellis model are confirmed but four additional activities are also identified. These are accessing, i.e. finding the material identified in indirect sources of information; networking, or the maintaining of close contacts with a wide range of colleagues and other human sources; verifying, i.e. checking the accuracy of new information; and information managing, the filing and organizing of collected information. All activities are grouped into four stages searching, accessing, processing, and ending.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.6, S.569-586
    Type
    a
  14. Whitmire, E.: Disciplinary differences and undergraduates' information-seeking behavior (2002) 0.01
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    Abstract
    This study applied the Biglan model of disciplinary differences to the information-seeking behavior patterns of 5,175 undergraduates responding to questions on the College Student Experiences Questionnaire (CSEQ). The Biglan model categorizes academic disciplines along three dimensions: (1) hard-soft, (2) pure-applied, and (3) life-nonlife systems. Using t-tests, this model proved to be valid for distinguishing differences in undergraduates' information-seeking behavior patterns among various academic disciplines. The results indicate that the Biglan model has implications for the redesign of academic library services and use as a valid theoretical framework for future library and information science research.
    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.8, S.631-638
    Type
    a
  15. Ford, N.; Miller, D.; Moss, N.: Web search strategies and human individual differences : cognitive and demographic factors, Internet attitudes, and approaches (2005) 0.01
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    Abstract
    The research reported here was an exploratory study that sought to discover the effects of human individual differences an Web search strategy. These differences consisted of (a) study approaches, (b) cognitive and demographic features, and (c) perceptions of and preferred approaches to Web-based information seeking. Sixtyeight master's students used AItaVista to search for information an three assigned search topics graded in terms of complexity. Five hundred seven search queries were factor analyzed to identify relationships between the individual difference variables and Boolean and best-match search strategies. A number of consistent patterns of relationship were found. As task complexity increased, a number of strategic shifts were also observed an the part of searchers possessing particular combinations of characteristics. A second article (published in this issue of JASIST; Ford, Miller, & Moss, 2005) presents a combined analyses of the data including a series of regression analyses.
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.741-756
    Type
    a
  16. Taylor, A.; Zhang, X.; Amadio, W.J.: Examination of relevance criteria choices and the information search process (2009) 0.01
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    Abstract
    Purpose - The purpose of this paper is to examine changes in relevance assessments, specifically the selection of relevance criteria by subjects as they move through the information search process. Design/methodology/approach - The paper examines the relevance criteria choices of 39 subjects in relation to search stage. Subjects were assigned a specific search task in a controlled test. Statistics were collected and analyzed using descriptive statistics and the chi-square goodness-of-fit tests. Findings - The statistically significant findings identified a number of commonly reported relevance criteria, which varied over an information search process for relevant and partially relevant judgments. These results provide statistical confirmations of previous studies, and extend these findings identifying specific criteria for both relevant and partially relevant judgments. Research limitations/implications - The study only examines a short duration search process and since the convenience sample of subjects were from similar backgrounds and were assigned similar tasks, the study did not explicitly examine the impact of contextual factors such as user experience, background or task in relation to relevance criteria choices. Practical implications - The paper has implications for the development of search systems which are adaptive and recognize the cognitive changes which occur during the information search process. Examining and identifying relevance criteria beyond topicality and the importance of those criteria to a user can help in the generation of better search queries. Originality/value - The paper adds more rigorous statistical analysis to the study of relevance criteria and the information search process.
    Type
    a
  17. Fourie, I.: ¬A theoretical model for studying Web information seeking / searching behaviour (2003) 0.01
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  18. 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.
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.757-764
    Type
    a
  19. Spink, A.; Wilson, T.D.; Ford, N.; Foster, A.; Ellis, D.: Information seeking and mediated searching : Part 3: successive searching (2002) 0.01
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    Abstract
    In "Part 3. Successive Searching.'' where Spink is the primary author, after a review of the work on successive searching, a portion of the Texas generated data is reviewed for insights on how frequently successive searching occurred, the motivation for its occurrence, and any distinctive characteristics of the successive search pattern. Of 18 mediated searches, half requested a second search and a quarter a third search. All but one seeker reported a need to refine and enhance the previous results. Second searches while characterized as refinements included a significantly higher number of items retrieved and more search cycles. Third searches had the most cycles but less retrieved items than the second. Number of terms utilized did not change significantly and overlap was limited to about one in five terms between first and second searches. No overlap occurred between the second and third searches. Problem solving stage shifts did occur with 2 moving to a later stage after the first search, 5 remaining in the same stage and one reverting to a previous stage. Precision did not increase over successive searches, but partial relevant judgments decreased between the second and third search.
    Source
    Journal of the American Society for Information Science and Technology. 53(2002) no.9, S.716-727
    Type
    a
  20. Wang, P.; Berry, M.W.; Yang, Y.: Mining longitudinal Web queries : trends and patterns (2003) 0.01
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    Abstract
    This project analyzed 541,920 user queries submitted to and executed in an academic Website during a four-year period (May 1997 to May 2001) using a relational database. The purpose of the study is three-fold: (1) to understand Web users' query behavior; (2) to identify problems encountered by these Web users; (3) to develop appropriate techniques for optimization of query analysis and mining. The linguistic analyses focus an query structures, lexicon, and word associations using statistical measures such as Zipf distribution and mutual information. A data model with finest granularity is used for data storage and iterative analyses. Patterns and trends of querying behavior are identified and compared with previous studies.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.8, S.743-758
    Type
    a