Search (19 results, page 1 of 1)

  • × theme_ss:"Benutzerstudien"
  • × theme_ss:"Suchtaktik"
  • × type_ss:"a"
  1. Fourie, I.: ¬A theoretical model for studying Web information seeking / searching behaviour (2003) 0.04
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    Source
    Tendencias de investigación en organización del conocimient: IV Cologuio International de Ciencas de la Documentación , VI Congreso del Capitulo Espanol de ISKO = Trends in knowledge organization research. Eds.: J.A. Frias u. C. Travieso
  2. Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015) 0.02
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    Date
    25. 1.2016 18:46:22
  3. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.01
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    Source
    Library and information science research. 22(2000) no.4, S.371-382
  4. Whitmire, E.: Undergraduates' information seeking behavior : the role of epistemological development theories and models (1999) 0.01
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    Abstract
    Researchers in the discipline of Higher Education have examined philosophical and psychological literature to develop epistemological development theories and models. They are primarily interested in understanding: "how individuals come to know, the theories and beliefs they hold about knowing, and the manner in which such epistemological premises are a part of and an influence on the cognitive processes of thinking and reasoning" (Hofer & Pintrinch, 1997). I propose to develop a theoretical framework for undergraduates' information seeking behavior based upon the insights into their knowledge construction offered through these models and theories of epistemological development. Epistemology is defined as "the philosophical study of the nature, sources, and limits of knowledge' (Moser, Mulder, & Trout, 1998). I will focus my paper on four major theories and models of undergraduates' epistemological development. I will present a new model of information seeking behavior incorporating these theories and models about how undergraduates construct knowledge and the consequent influence on their information seeking behavior
  5. Wilson, T.D.: Exploring models of information behaviour : the 'uncertainty' project (1999) 0.01
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    Abstract
    My original intention in this Keynote Paper was to talk about models of information behaviour, and I shall do that to some extent. However, both Carol Kuhlthau and Amanda Spink address this general conceptual level of research into information-seeking behaviour and I thought it would more appropriate to present my current research.
  6. Hsieh-Yee, I.: Research on Web-search behavior (2001) 0.01
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  7. Tenopir, C.; Nahl-Jakobovits, D.; Howard, D.L.: Strategies and assessments online : novices' experience (1991) 0.01
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  8. Mann, L.; Ball, C.: ¬The relationship between search strategy and risky choice (1994) 0.01
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  9. Lee, H.-L.: Navigating hierarchies vs. searching by keyword : two cultural perspectives (2006) 0.01
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    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
  10. 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.
  11. White, R.W.; Jose, J.M.; Ruthven, I.: ¬A task-oriented study on the influencing effects of query-biased summarisation in web searching (2003) 0.01
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  12. Xie, I.; Joo, S.: Transitions in search tactics during the Web-based search process (2010) 0.01
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  13. Vuong, T.; Saastamoinen, M.; Jacucci, G.; Ruotsalo, T.: Understanding user behavior in naturalistic information search tasks (2019) 0.01
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    Abstract
    Understanding users' search behavior has largely relied on the information available from search engine logs, which provide limited information about the contextual factors affecting users' behavior. Consequently, questions such as how users' intentions, task goals, and substances of the users' tasks affect search behavior, as well as what triggers information needs, remain largely unanswered. We report an experiment in which naturalistic information search behavior was captured by analyzing 24/7 continuous recordings of information on participants' computer screens. Written task diaries describing the participants' tasks were collected and used as real-life task contexts for further categorization. All search tasks were extracted and classified under various task categories according to users' intentions, task goals, and substances of the tasks. We investigated the effect of different task categories on three behavioral factors: search efforts, content-triggers, and application context. Our results suggest four findings: (i) Search activity is integrally associated with the users' creative processes. The content users have seen prior to searching more often triggers search, and is used as a query, within creative tasks. (ii) Searching within intellectual and creative tasks is more time-intensive, while search activity occurring as a part of daily routine tasks is associated with more frequent searching within a search task. (iii) Searching is more often induced from utility applications in tasks demanding a degree of intellectual effort. (iv) Users' leisure information-seeking activity is occurring inherently within social media services or comes from social communication platforms. The implications of our findings for information access and management systems are discussed.
  14. Byström, K.: Information seekers in context : an analysis of the 'doer' in INSU studies (1999) 0.01
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    Date
    22. 3.2002 9:55:52
  15. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.01
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    Date
    26. 1.2014 18:48:22
  16. Pu, H.-T.; Chuang, S.-L.; Yang, C.: Subject categorization of query terms for exploring Web users' search interests (2002) 0.00
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  17. Kellar, M.; Watters, C.; Shepherd, M.: ¬A field study characterizing Web-based information seeking tasks (2007) 0.00
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  18. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.00
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  19. Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999) 0.00
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    Date
    22. 3.2002 9:54:13