Audiobooks is booming audibly in the mobile age. According to Global Audiobook Trends and Statistics (2018), audio‐book performed better than e‐book, and US has occupied the largest market share, and the sales reached 21 billion dollars in 2016 and 23.5 billion dollars in 2017. Though previous researches show that the reading comprehension effect of audio channel is better than that on visual channel and the reading comprehension effect of dual channel combining visual and audio channel is better than the single channel. However, is that also established on the new mobile device? Using an experiment approach, we found that (1) The reading comprehension effect of the audio channel is better than that of the visual channel. (2) The reading comprehension effect of the dual channel is better than that of any single channel. That means listen to audiobooks through the audio channel and even the new reading format, like VR reading or AR reading should be encouraged in terms of the reading comprehension effect.
PurposeThis study analyzed the interdisciplinary characteristics of Chinese research studies in library and information science (LIS) measured by knowledge elements extracted through the Lexicon-LSTM model.Design/methodology/approachEight research themes were selected for experiment, with a large-scale (N = 11,625) dataset of research papers from the China National Knowledge Infrastructure (CNKI) database constructed. And it is complemented with multiple corpora. Knowledge elements were extracted through a Lexicon-LSTM model. A subject knowledge graph is constructed to support the searching and classification of knowledge elements. An interdisciplinary-weighted average citation index space was constructed for measuring the interdisciplinary characteristics and contributions based on knowledge elements.FindingsThe empirical research shows that the Lexicon-LSTM model has superiority in the accuracy of extracting knowledge elements. In the field of LIS, the interdisciplinary diversity indicator showed an upward trend from 2011 to 2021, while the disciplinary balance and difference indicators showed a downward trend. The knowledge elements of theory and methodology could be used to detect and measure the interdisciplinary characteristics and contributions.Originality/valueThe extraction of knowledge elements facilitates the discovery of semantic information embedded in academic papers. The knowledge elements were proved feasible for measuring the interdisciplinary characteristics and exploring the changes in the time sequence, which helps for overview the state of the arts and future development trend of the interdisciplinary of research theme in LIS.
Purpose The purpose of this study is to present an approach to evaluating the usability of digital libraries in terms of knowledge states within the information search process (ISP) by investigating the connections among components with which users interact, perceived usability and task stages. The China National Knowledge Infrastructure (CNKI), the most popular digital library in China, was chosen to be studied. Design/methodology/approach With the research framework, measurements were generated for perceived usability in task stages for efficiency, effectiveness and satisfaction. Two usability experiments and usability tests were administered to 22 subjects in two groups. Three information retrieval tasks were designed according to the characteristics of knowledge states within the ISP for each experiment. The transaction logs were captured and the experimental results were recorded. The users completed a pre-search questionnaire and post-search questionnaire, and interviews were conducted. Findings The study showed that both interactions on components of the digital library and usability scores differed with sequential tasks characterized by knowledge states within the ISP; new usability problems relating to the CNKI were found based on the empirical results. Originality/value Many studies on the usability evaluation of digital libraries focused on the outcome rather than on the ISP. This study proposed an effective approach to usability evaluation based on users’ knowledge states within the ISP.
The organization and presentation of academic documents on the web are mostly on the documental level. However, what the researchers need is always the particular information pieces of documents rather than the whole. Genre provides us with an expected form and content from both authors and readers; therefore, functional analysis of genre might be employed to decompose web documents into information units for information use. In this vein, this study aims to build the taxonomy of information units within academic web documents for information use based on structural genre theory. The genres chosen include abstract from online bibliography, research article from open access journal, entry of online encyclopedia and academic weblog post. Two sequential studies are conducted. In the first study, the taxonomy with the hierarchy of genrecomponentfunctional unit is firstly built by identification of information units within academic web document genres, and then is validated and refined through corpus in the domain of citation analysis in Chinese. In the second study, user survey is conducted to validate the information units in the taxonomy. The results suggest that the knowledge of social convention of academic web genres in the taxonomy in domain of citation analysis in Chinese is well identified, which can inform the design of search engine to support effective and efficient web information use for academic purposes.
This poster explores the existence of order effect on relevance judgment, especially the interference of one document on the other while evaluating the relevance. A between‐subject experiment with 78 undergraduate students was reported. The results demonstrated the statistically significant existence of order effect for some topics and spotted quantum interference while evaluating the relevance of documents. This preliminary study provides insights into how documents' evaluation is contextualized and interdependent with each other. It has some implications for future theoretical and practical research on the human cognitive aspect of relevance judgment in information retrieval.
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