3,070 research outputs found

    Investigating User Search Tactic Patterns and System Support in Using Digital Libraries

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    This study aims to investigate users\u27 search tactic application and system support in using digital libraries. A user study was conducted with sixty digital library users. The study was designed to answer three research questions: 1) How do users engage in a search process by applying different types of search tactics while conducting different search tasks?; 2) How does the system support users to apply different types of search tactics?; 3) How do users\u27 search tactic application and system support for different types of search tactics affect search outputs? Sixty student subjects were recruited from different disciplines in a state research university. Multiple methods were employed to collect data, including questionnaires, transaction logs and think-aloud protocols. Subjects were asked to conduct three different types of search tasks, namely, known-item search, specific information search and exploratory search, using Library of Congress Digital Libraries. To explore users\u27 search tactic patterns (RQ1), quantitative analysis was conducted, including descriptive statistics, kernel regression, transition analysis, and clustering analysis. Types of system support were explored by analyzing system features for search tactic application. In addition, users\u27 perceived system support, difficulty, and satisfaction with search tactic application were measured using post-search questionnaires (RQ2). Finally, the study examined the causal relationships between search process and search outputs (RQ 3) based on multiple regression and structural equation modeling. This study uncovers unique behavior of users\u27 search tactic application and corresponding system support in the context of digital libraries. First, search tactic selections, changes, and transitions were explored in different task situations - known-item search, specific information search, and exploratory search. Search tactic application patterns differed by task type. In known-item search tasks, users preferred to apply search query creation and following search result evaluation tactics, but less query reformulation or iterative tactic loops were observed. In specific information search tasks, iterative search result evaluation strategies were dominantly used. In exploratory tasks, browsing tactics were frequently selected as well as search result evaluation tactics. Second, this study identified different types of system support for search tactic application. System support, difficulty, and satisfaction were measure in terms of search tactic application focusing on search process. Users perceived relatively high system support for accessing and browsing tactics while less support for query reformulation and item evaluation tactics. Third, the effects of search tactic selections and system support on search outputs were examined based on multiple regression. In known-item searches, frequencies of query creation and accessing forwarding tactics would positively affect search efficiency. In specific information searches, time spent on applying search result evaluation tactics would have a positive impact on success rate. In exploratory searches, browsing tactics turned out to be positively associated with aspectual recall and satisfaction with search results. Based on the findings, the author discussed unique patterns of users\u27 search tactic application as well as system design implications in digital library environments

    Information Outlook, September 1998

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    Volume 2, Issue 9https://scholarworks.sjsu.edu/sla_io_1998/1008/thumbnail.jp

    Information Outlook, May 2004

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    Volume 8, Issue 5https://scholarworks.sjsu.edu/sla_io_2004/1004/thumbnail.jp

    Information Outlook, February 2001

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    Volume 5, Issue 2https://scholarworks.sjsu.edu/sla_io_2001/1001/thumbnail.jp

    NEW DIRECTIONS IN THE QUALITY CONTROL OF EPIDEMIOLOGICAL LECTURES ON THE INTERNET

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    Finding high quality materials for the preparation of epidemiological lectures is a serious challenge for epidemiologists and public health professionals across the world. The emergence of the Internet in the early 90's offered a way to ease the access to the epidemiological lectures; however it also raised important questions about the quality of the educational lectures which are freely available on the Internet. In this research, we analyzed the quality of epidemiological lectures in the Global Health Network Supercourse lecture library. We selected a random sample of 100 lectures in the Supercourse that accumulated at least 3 reviews from the visitors of the Supercourse sites. We found 7 experts, leading researchers in the field of public health and medicine, who were also very experienced in reviewing papers for journals. These experts evaluated the same set of 100 lectures and gave us their expert opinion on their quality. Overall, the lectures were rated positively by both expert and the Supercourse reviewers. Although t-test indicated that the difference between the means was statistically significant, this difference is not meaningful due to large sample size. Kappa statistic and intraclass correlations indicated that inter rater agreement for experts and non-experts was surprisingly low (less than 0.4). We also observed HALO affect with overall score being a good predictor of other scores. Our findings were consistent with existing research in the area of peer review, demonstrating low inter rater agreement. This poor inter rater agreement was demonstrated for the first time for the Internet lectures. Our findings suggested that questionnaires assessing the quality of the Internet lectures may actually be replaced by one rating, similar to the system utilized in Amazon.com or hotel ratings. This research was significant for the field of public health because it was one of the first efforts to evaluate the quality of epidemiological lectures on the Internet. The quality of lectures on the web has rarely been assessed scientifically for epidemiological and public health lectures. Future research in this area may need to concentrate on alternatives to the peer review system
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