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Wang, P.: Information behavior and seeking (2011)
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- Interactive information seeking, behaviour and retrieval. Eds.: Ruthven, I. u. D. Kelly
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Zhang, J.; Wolfram, D.; Wang, P.; Hong, Y.; Gillis, R.: Visualization of health-subject analysis based on query term co-occurrences (2008)
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- Abstract
- A multidimensional-scaling approach is used to analyze frequently used medical-topic terms in queries submitted to a Web-based consumer health information system. Based on a year-long transaction log file, five medical focus keywords (stomach, hip, stroke, depression, and cholesterol) and their co-occurring query terms are analyzed. An overlap-coefficient similarity measure and a conversion measure are used to calculate the proximity of terms to one another based on their co-occurrences in queries. The impact of the dimensionality of the visual configuration, the cutoff point of term co-occurrence for inclusion in the analysis, and the Minkowski metric power k on the stress value are discussed. A visual clustering of groups of terms based on the proximity within each focus-keyword group is also conducted. Term distributions within each visual configuration are characterized and are compared with formal medical vocabulary. This investigation reveals that there are significant differences between consumer health query-term usage and more formal medical terminology used by medical professionals when describing the same medical subject. Future directions are discussed.
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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)
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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.
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Wang, P.; Hawk, W.B.; Tenopir, C.: Users' interaction with World Wide Web resources : an exploratory study using a holistic approach (2000)
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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)
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Wang, P.; Soergel, D.: Beyond topical relevance : document selection behaviour of real users of IR systems (1993)
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White, M.D.; Wang, P.: ¬A qualitative study of citing behaviour : contributions, criteria, and metalevel documentation concerns (1997)
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Wang, P.: Users' information needs at different stages of a research project : a cognitive view (1997)
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Tenopir, C.; Wang, P.; Zhang, Y.; Simmons, B.; Pollard, R.: Academic users' interactions with ScienceDirect in search tasks : affective and cognitive behaviors (2008)
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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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Wang, P.; White, M.D.: ¬A qualitative study of scholars' citation behaviour (1996)
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Wang, P.; Berry, M.W.; Yang, Y.: Mining longitudinal Web queries : trends and patterns (2003)
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Bilal, D.; Wang, P.: Children's conceptual structures of science categories and the design of Web directories (2005)
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Wolfram, D.; Wang, P.; Zhang, J.: Identifying Web search session patterns using cluster analysis : a comparison of three search environments (2009)
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Wang, P.; Soergel, D.: ¬A cognitive model of document use during a research project : Study I: Document selection (1998)
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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)
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Wang, P.: ¬An empirical study of knowledge structures of research topics (1999)
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Hawk, W.B.; Wang, P.: Users' interaction with the World Wide Web : problems and problem solving (1999)
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Kracker, J.; Wang, P.: Research anxiety and students' perceptions of research : An experiment. Part II. Content analysis of their writings on two experiences (2002)
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Zhang, J.; Wolfram, D.; Wang, P.: Analysis of query keywords of sports-related queries using visualization and clustering (2009)
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Wang, P.; Hao, T.; Yan, J.; Jin, L.: Large-scale extraction of drug-disease pairs from the medical literature (2017)
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