Search (8 results, page 1 of 1)

  • × author_ss:"Marchionini, G."
  • × language_ss:"e"
  1. Marchionini, G.; Shneiderman, B.: Finding facts vs. browsing knowledge in hypertext systems (1988) 0.02
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    Source
    IEEE computer. 21(1988), S.70-80
  2. Marchionini, G.: Information seeking in electronic environments (1995) 0.02
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    LCSH
    Human / computer interaction
    Series
    Cambridge series on human-computer interaction; 9
    Subject
    Human / computer interaction
  3. Marchionini, G.: Toward Human-Computer Information Retrieval (2006) 0.01
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    Abstract
    This is a propitious time for information science. The WWW has propelled information services into the public eye as never before, and information professionals are sought out in all walks of life to assist people with work, learning and play in the information environment. Classical information retrieval has yielded novel techniques for applying computers to retrieval problems, including WWW search engines. The classical model of retrieval is one of matching queries to documents and ranking these matches. It is apparent, however, that a new model of retrieval is needed as people access large-scale digital libraries of multimedia content and vast collections of unstructured data in the WWW. What is needed are ways to bring human intelligence and attention more actively into the search process. To this end, researchers are beginning to combine the lessons from designing highly interactive user interfaces with the lessons from human information behavior to create new kinds of search systems that depend on continuous human control of the search process. I call this hybrid approach to the challenges of information seeking, human-computer information retrieval (HCIR). Though human-computer information interaction is perhaps a more expansive and appropriate phrase, the HCIR phrase unites two well-known fields/communities of practice and is thus adopted here. HCIR aims to empower people to explore large-scale information bases but demands that people also take responsibility for this control by expending cognitive and physical energy. This paper outlines the basic motivations and concepts of HCIR and presents design goals and challenges that are informed by two ongoing HCIR projects.
  4. Ding, W.; Marchionini, G.: ¬A comparative study of Web search service performance (1996) 0.01
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    Footnote
    Vgl.: Nicholson, S.: Raising reliability of Web search tools ... In: JASIS 51(2000) no.8, S.724-729
  5. Marchionini, G.; Xia, L.; Dwiggins, S.: Efforts of search and subject expertise on information seeking in a hypertext environment (1990) 0.01
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    Abstract
    As part of ongoing investigation of information seeking behaviour of end users in electronic environments, a comparison was made of those users having expertise in a topic area and those with expertise in online searching. Computer scientists and online search specialists conducted assigned searches in a HyperCard database on the topic of hypertext. Both groups of experts were able to conduct successful searches and outperformed a novice control group. Search specialists took slightly less time tahn the domain experts, modified queries by adding terms found in the text, and tended to focus on query formulation. Domain experts focused on the text and used their domain knowledge for further question answering
  6. Marchionini, G.: Information-seeking strategies of novices using a full-text electronic encyclopedia (1989) 0.01
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    Abstract
    An exploratory study was conducted of elementary school children searching a full-text electronic encyclopedia on CD-ROM. 28 third and forth graders and 24 sixth graders conducted 2 assigned searches, one open-ended, the other one closed, after 2 demonstration sessions. Keystrokes captured by the computer and observer notes were used to examine user information-seeking strategies from a mental model perspective. Older searchers were more successful in finding required information, and took less time than younger searchers. No differences in total number of moves were found. Analysis of search patterns showed that novices used a heuristic, highly interactive search strategy. Searchers used sentence and phrase queries, indicating unique mental models for this search system. Most searchers accepted system defaults and used the AND connective in formulating queries. Transition matrix analysis showed that younger searchers generally favoured query refining moves and older searchers fovoured examining title and text moves. Suggestions for system designers were made and future research questions were identified
  7. Marchionini, G.: Co-evolution of user and organizational interfaces : a longitudinal case study of WWW dissemination of national statistics (2002) 0.01
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    Abstract
    The data systems, policies and procedures, corporate culture, and public face of an agency or institution make up its organizational interface. This case study describes how user interfaces for the Bureau of Labor Statistics web site evolved over a 5-year period along with the [arger organizational interface and how this co-evolution has influenced the institution itself. Interviews with BLS staff and transaction log analysis are the foci in this analysis that also included user informationseeking studies and user interface prototyping and testing. The results are organized into a model of organizational interface change and related to the information life cycle.
  8. Komlodi, A.; Soergel, D.; Marchionini, G.: Search histories for user support in user interfaces (2006) 0.00
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    Date
    22. 7.2006 18:04:19