Search (21 results, page 1 of 2)

  • × author_ss:"Wang, P."
  1. Wang, P.: Information behavior and seeking (2011) 0.00
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  2. Wang, P.; Hawk, W.B.; Tenopir, C.: Users' interaction with World Wide Web resources : an exploratory study using a holistic approach (2000) 0.00
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  3. 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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  4. Wang, P.; Soergel, D.: Beyond topical relevance : document selection behaviour of real users of IR systems (1993) 0.00
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  5. White, M.D.; Wang, P.: ¬A qualitative study of citing behaviour : contributions, criteria, and metalevel documentation concerns (1997) 0.00
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  6. Wang, P.: Users' information needs at different stages of a research project : a cognitive view (1997) 0.00
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  7. Tenopir, C.; Wang, P.; Zhang, Y.; Simmons, B.; Pollard, R.: Academic users' interactions with ScienceDirect in search tasks : affective and cognitive behaviors (2008) 0.00
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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.
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  8. Wang, P.; White, M.D.: ¬A qualitative study of scholars' citation behaviour (1996) 0.00
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  9. Wang, P.; Berry, M.W.; Yang, Y.: Mining longitudinal Web queries : trends and patterns (2003) 0.00
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  10. Bilal, D.; Wang, P.: Children's conceptual structures of science categories and the design of Web directories (2005) 0.00
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  11. 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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  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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  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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  14. Wang, P.: ¬An empirical study of knowledge structures of research topics (1999) 0.00
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  15. Hawk, W.B.; Wang, P.: Users' interaction with the World Wide Web : problems and problem solving (1999) 0.00
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  16. 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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  17. 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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  18. 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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  19. 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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  20. Wang, P.; Li, X.: Assessing the quality of information on Wikipedia : a deep-learning approach (2020) 0.00
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