Search (12 results, page 1 of 1)

  • × theme_ss:"Suchtaktik"
  • × year_i:[1990 TO 2000}
  1. Toms, E.G.: What motivates the browser? (1999) 0.06
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    Abstract
    Browsing is considered to be unstructured and human-driven, although not a cognitively intensive process. It is conducted using systems that facilitate considerable user-system interactivity. Cued by the content, people immerse themselves in a topic of interest and meander from topic to topic while concurrently recognising interesting and informative information en route. They seem to seek and gather information in a purposeless, illogical and indiscriminate manner. Typical examples of these ostensibly random acts are scanning a non-fiction book, examining the morning newspaper, perusing the contents of a business report and scavenging the World Wide Web. Often the result is the acquisition of new information, the rejection or confirmation of an idea, or the genesis of new, perhaps not-wholly-formed thoughts about a topic. Noteworthy about this approach is that people explore information without having consciously structured queries or explicit goals. This form of passive information interaction behaviour is defined as acquiring and gathering information while scanning an information space without a specific goal in mind (Waterworth & Chignell, 1991; Toms, 1997), and for the purposes of this study, is called browsing. Traditionally, browsing is thought of in two ways: as a physical process - the action taken when one scans a list, a document, or a set of linked information nodes (e.g., Fox & Palay, 1979; Thompson & Croft, 1989; Ellis, 1989), and as a conceptual process, information seeking when the goal is ill-defined (e.g., Cove & Walsh, 1987). Browsing is also combined with searching in an integrated information-seeking process for retrieving information (e.g., Ellis, 1989; Belkin, Marchetti & Cool, 1993; Marchionini, 1995; Chang, 1995). Each of these cases focuses primarily on seeking information when the objective ranges from fuzzy to explicit.
    Date
    22. 3.2002 9:44:47
  2. Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999) 0.05
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    Abstract
    Previous empirical studies of searcher behaviour have drawn attention to a wide variety of factors that affect performance; for instance, the display of retrieved results can alter search strategies (Allen 1991, 1994), the information need type influences search behaviour, (Elkerton et al 1984, Marchionini 1995); while the task complexity, reflected in the information need can affect user's search behaviour (Large et al 1994). Furthermore, information source selection (Bassilli 1977), and the user's model of the system and domain impact on the search process (Michel 1994); while motivation (Solomon 1993, Jacobsen et al 1992) and the importance of the information need (Wendt 1969) also influence search duration and the effort a user will employ. Rouse and Rouse (1984) in a review of empirical studies, summarise a wide variety of variables that can effect searching behaviour, including payoff, costs of searching, resource available, amount of information sought, characteristics of the data and conflicts between documents. It appears that user behaviour is inconsistent in the search strategies adopted even for the same search need and system (Davidson 1977, Iivonen 1995). Theories of searcher behaviour have been proposed that provide explanations of aspects of end-user behaviour, such as the evolution of the user's information need and the problems of articulating a query, [Bates (1979, 1989), Markey and Atherton 1978], effective search strategies in browsing and goal directed searches [Marchionini 1995, Belkin (1987, 1993)], the linguistic problem of matching search terms with indexing terms or content of target documents through an expert intermediary (Ingwersen 1982) or cognitive aspects of IR (Kulthau 1984, Ingwersen 1996).
    Date
    22. 3.2002 9:54:13
  3. Hsieh-Yee, I.: Search tactics of Web users in searching for texts, graphics, known items and subjects : a search simulation study (1998) 0.03
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    Date
    25.12.1998 19:22:31
  4. Ross, C.S.: Finding without seeking : what readers say about the role of pleasure-reading as a source of information (1999) 0.02
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    Abstract
    It is common to distinguish sharply between leisure reading undertaken purely for pleasure and utilitarian reading that satisfies what Peter Mann (1969, 53-61) has called `extrinsic' interests: reference materials for work and home such as medical books, cook books and repair manuals. We might suppose that information-seeking is concerned only with utilitarian reading. However, once we adopt a definition of information as something that fills in a gap in understanding or makes a difference to an individual's cognitive structure or helps people with their lives, it follows that we cannot deduce uses simply by looking at the texts themselves. Since meanings are constructed by readers, we must ask the readers about the uses they make of texts in the context of their lives. Findings from a research project focussed on 194 readers who read for pleasure indicate that for a broad understanding of the information behaviour of ordinary people, we need to think beyond reference books to include extended narrative forms, particularly biography, history, and fiction. People who are avid readers for pleasure report that during the course of wide reading they serendipitously encounter information that helps them in their lives
  5. Keane, D.: ¬The information behaviour of senior executives (1999) 0.01
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    Abstract
    For senior executives, the ability to work with large quantities of information - sorting the wheat from the chaff- has long been recognised as a key determinant of achievement. What an executive believes to be important information can have a significant influence on what they think and how they think about it. Senior executives, because of their critical leadership role, are challenged in their daily lives to develop effective ways of acquiring, using and sharing important information. Some executives are undoubtedly better than others in how they handle such information and there is a high level of interest in identifying those information behavior characteristics that lead to executive excellence (Davenport & Prusak, 1998). Because of their position within organizations, CEOs - those senior executives who have overall responsibility for the management of the organization or business unit - are particularly concerned with enhancing their information behavior. CEOs have the task of managing the organization so that it achieves its strategic goals and objectives. And a critical part of this task is becoming highly effective in managing a wide range of information and in developing skills of influence and decision making. It is therefore important for us to understand how senior executives handle information on a day-to-day basis. What information do they consider important? And why? Several studies have sought to address these questions with varying degrees of success. Some have set out to better understand what type of information senior executives need (McLeod & Jones, 1987) while other studies have attempted to provide a comprehensive theoretical base for executive work (Mintzberg, 1968; 1973; 1975). Yet other work has tried to devise various tools and methodologies for eliciting the unique information requirements of individual executives (Rockart, 1979).
  6. Pharo, N.: Web information search strategies : a model for classifying Web interaction (1999) 0.01
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  7. English, W.: ¬A short primer in conducting searches (1998) 0.01
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    Abstract
    Presents a brief guide to using Boolean operators and search engines to find information on the Web
  8. Carrière, J.; Kazman, R.: WebQuery : searching and visualizing the Web through connectivity (1996) 0.01
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    Abstract
    Finding information located somewhere on the WWW is an error-prone and frustrating task. The WebQuey system offers a powerful new method for searching the Web based on connectivity and content. We do this by examining links among the nodes returned in a keyword-based query. We then rank the nodes, giving the highest rank to the most highly connected nodes. By doing so, we are finding 'hot spots' on the Web that contain onformation germane to a user's query. WebQuery not only ranks and filters the results of a Web query, it also extends the result set beyond what the search engine retrieves, by finding 'interesting' sites that are hoghly connected to those sites returned by the original query. Even with WebQuery filtering and ranking query results, the result sets can be enourmous. So, wen need to visualize the returned information. We explore several techniques for visualizing this information - including cone trees, 2D graphs, 3D graphy, lists, and bullseyes - and discuss the criteria for using each of the techniques
  9. Zorn, P.: Advanced web searching : tricks of the trade (1996) 0.01
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  10. Bell, S.S.: Net search strategies (1997) 0.01
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    Abstract
    Discusses the difficulties in searching the Internet, with many different tools available, and varying features associated with each one. Drawing on personal experience of teaching Internet searching, suggests presenting users with strategies for each tool, rather than detailed recipes. This strategic approach seeks to help users analyze their queries, as well as understand the basic types and principles of the different search tools to determine which might provide the most likely starting point. Suggests a preliminary analysis of questions into 4 broad types: hints are also given on finding email addresses and using complex Web browser pages
  11. Limberg, L.: Three conceptions of information seeking and use (1999) 0.01
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    Date
    22. 3.2002 9:53:10
  12. 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