Search (18 results, page 1 of 1)

  • × author_ss:"Wang, P."
  1. Wang, P.: ¬An empirical study of knowledge structures of research topics (1999) 0.03
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    Abstract
    How knowledge is organized in human memory is of interest to both information science and cognitive science. The current information retrieval (IR) systems can be improved if we understand which conceptual structures could facilitate users in information processing and seeking. This project examined twenty-two cognitive maps on ten research topics generated by ten experts and eleven non-experts. Experts were those who had completed a research project on the topic prior to participating in this study, while non-experts were from the same academic department who were familiar with the topic but had not conducted any in-depth research on it. A research topic can be represented by a vocabulary and the relationships among the terms in the vocabulary. A cognitive map visualizes the vocabulary and its configuration in a plane. We observed that experts did not generate the maps much faster than non-experts. Both experts and non-experts modified the given vocabulary by either adding or dropping terms. The dominant configuration for the maps was top-down, while five maps were orientated in left-right or radical structure (from a center). Experts tended to use problem-oriented approach to organize the vocabulary while non-experts often applied discipline-oriented hierarchical structure. Despite of many differences in vocabulary and structure by individuals, there are terms clustered in a similar ways across maps indicating an agreed-upon semantic closeness among these terms
    Series
    Proceedings of the American Society for Information Science; vol.36
    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
  2. Tenopir, C.; Wang, P.; Zhang, Y.; Simmons, B.; Pollard, R.: Academic users' interactions with ScienceDirect in search tasks : affective and cognitive behaviors (2008) 0.02
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    Abstract
    This article presents part of phase 2 of a research project funded by the NSF-National Science Digital Library Project, which observed how academic users interact with the ScienceDirect information retrieval system for simulated class-related assignments. The ultimate goal of the project is twofold: (1) to find ways to improve science and engineering students' use of science e-journal systems; (2) to develop methods to measure user interaction behaviors. Process-tracing technique recorded participants' processes and interaction behaviors that are measurable; think-aloud protocol captured participants' affective and cognitive verbalizations; pre- and post-search questionnaires solicited demographic information, prior experience with the system, and comments. We explored possible relationships between affective feelings and cognitive behaviors. During search interactions both feelings and thoughts occurred frequently. Positive feelings were more common and were associated more often with thoughts about results. Negative feelings were associated more often with thoughts related to the system, search strategy, and task. Learning styles are also examined as a factor influencing behavior. Engineering graduate students with an assimilating learning style searched longer and paused less than those with a converging learning style. Further exploration of learning styles is suggested.
    Source
    Information processing and management. 44(2008) no.1, S.105-121
  3. Wang, P.; Hawk, W.B.; Tenopir, C.: Users' interaction with World Wide Web resources : an exploratory study using a holistic approach (2000) 0.02
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    Source
    Information processing and management. 36(2000) no.2, S.229-251
  4. Wang, P.; Ma, Y.; Xie, H.; Wang, H.; Lu, J.; Xu, J.: "There is a gorilla holding a key on the book cover" : young children's known picture book search strategies (2022) 0.01
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    Abstract
    There is no information search system can assist young children's known picture book search needs since the information is not organized according to their cognitive abilities and needs. Therefore, this study explored young children's known picture book search strategies and extracted picture book search elements by simulating a search scenario and playing a picture book search game. The study found 29 elements children used to search for known picture books. Then, these elements are classified into three dimensions: The first dimension is the concept category of an element. The second dimension is an element's status in the story. The third dimension indicates where an element appears in a picture book. Additionally, it revealed a young children's general search strategy: Children first use auditory elements that they hear from the adults during reading. After receiving error returns, they add visual elements that they see by themselves in picture books. The findings can not only help to understand young children's known-item search and reformulation strategies during searching but also provide theoretical support for the development of a picture book information organization schema in the search system.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.1, S.45-57
  5. Bilal, D.; Wang, P.: Children's conceptual structures of science categories and the design of Web directories (2005) 0.00
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    Abstract
    Eleven middle school children constructed hierarchical maps for two science categories selected from two Web directories, Yahooligans! and KidsClick! For each category, children constructed a pair of maps: one without links and one with links. Forty-tour maps were analyzed to identify similarities and differences. The structures of the maps were compared to the structures employed by the directories. Children were able to construct hierarchical maps and articulate the relationships among the concepts. At the global level (whole map), children's maps were not alike and did not match the structures of the Web directories. At the local levels (superordinate and subordinate), however, children shared similarities in the conceptual configurations, especially for the concrete concepts. For these concepts, substantial overlap was found between the children's structures and those employed in the directories. For the abstract concepts the configurations were diverse and did not match those in the directories. The findings of this study have impl!cations for design of systems that are more supportive of children's conceptual structures.
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.12, S.1303-1315
  6. Wang, P.; Soergel, D.: Beyond topical relevance : document selection behaviour of real users of IR systems (1993) 0.00
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    Source
    Integrating technologies - converging professions: proceedings of the 56th Annual Meeting of the American Society for Information Science, Columbus, OH, 24-28 October 1993. Ed.: S. Bonzi
  7. Hawk, W.B.; Wang, P.: Users' interaction with the World Wide Web : problems and problem solving (1999) 0.00
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    Series
    Proceedings of the American Society for Information Science; vol.36
    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
  8. Wang, P.; White, M.D.: ¬A qualitative study of scholars' citation behaviour (1996) 0.00
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    Source
    Global complexity: information, chaos and control. Proceedings of the 59th Annual Meeting of the American Society for Information Science, ASIS'96, Baltimore, Maryland, 21-24 Oct 1996. Ed.: S. Hardin
  9. Wang, P.; Berry, M.W.; Yang, Y.: Mining longitudinal Web queries : trends and patterns (2003) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.8, S.743-758
  10. Wolfram, D.; Wang, P.; Zhang, J.: Identifying Web search session patterns using cluster analysis : a comparison of three search environments (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.5, S.896-910
  11. Cheng, A.-S.; Fleischmann, K.R.; Wang, P.; Ishita, E.; Oard, D.W.: ¬The role of innovation and wealth in the net neutrality debate : a content analysis of human values in congressional and FCC hearings (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1360-1373
  12. Wang, P.; Soergel, D.: ¬A cognitive model of document use during a research project : Study I: Document selection (1998) 0.00
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    Source
    Journal of the American Society for Information Science. 49(1998) no.2, S.115-133
  13. Wang, P.; White, M.D.: ¬A cognitive model of document use during a research project : Study II: Decisions at the reading and citing stages (1999) 0.00
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    Source
    Journal of the American Society for Information Science. 50(1999) no.2, S.98-114
  14. Kracker, J.; Wang, P.: Research anxiety and students' perceptions of research : An experiment. Part II. Content analysis of their writings on two experiences (2002) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.4, S.295-307
  15. Zhang, J.; Wolfram, D.; Wang, P.; Hong, Y.; Gillis, R.: Visualization of health-subject analysis based on query term co-occurrences (2008) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.12, S.1933-1947
  16. Zhang, J.; Wolfram, D.; Wang, P.: Analysis of query keywords of sports-related queries using visualization and clustering (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.8, S.1550-1571
  17. Wang, P.; Hao, T.; Yan, J.; Jin, L.: Large-scale extraction of drug-disease pairs from the medical literature (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.11, S.2649-2661
  18. Wang, P.; Li, X.: Assessing the quality of information on Wikipedia : a deep-learning approach (2020) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.1, S.16-28