9,773 research outputs found

    Information seeking retrieval, reading and storing behaviour of library users

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    In the interest of digital libraries, it is advisable that designers be aware of the potential behaviour of the users of such a system. There are two distinct parts under investigation, the interaction between traditional libraries involving the seeking and retrieval of relevant material, and the reading and storage behaviours ensuing. Through this analysis, the findings could be incorporated into digital library facilities. There has been copious amounts of research on information seeking leading to the development of behavioural models to describe the process. Often research on the information seeking practices of individuals is based on the task and field of study. The information seeking model, presented by Ellis et al. (1993), characterises the format of this study where it is used to compare various research on the information seeking practices of groups of people (from academics to professionals). It is found that, although researchers do make use of library facilities, they tend to rely heavily on their own collections and primarily use the library as a source for previously identified information, browsing and interloan. It was found that there are significant differences in user behaviour between the groups analysed. When looking at the reading and storage of material it was hard to draw conclusions, due to the lack of substantial research and information on the topic. However, through the use of reading strategies, a general idea on how readers behave can be developed. Designers of digital libraries can benefit from the guidelines presented here to better understand their audience

    eRes: Innovative E-learning with E-resources

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    There has been an explosion in the use of electronic resources by students; this existing high usage of e-resources will be intensified as virtual learning environments (VLEs) become the primary means of interaction between students and universities. The challenge facing academic libraries is to provide appropriate resources in electronic form and through interfaces meeting the expectations of the Digital Natives. This paper examines the marketplace for e-books and reports on Bournemouth University’s innovative response to this challenge: leading a national tender not only for general collections of e-books, but also for bespoke subject collections; integrating existing resources into the VLE and creating new resources; exploiting the VLE and federated search technology. It also reports on Bournemouth’s current Higher Education Academy-funded pathfinder project, Innovative E-Learning with E-Resources (eRes), to develop innovative pedagogic frameworks and an e-reading strategy

    Redesigning Information Resources for Digital Natives

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    The influx of Digital Natives into higher education, combined with the introduction of virtual learning environments as the primary means of interaction between students and universities, will have a transformational effect on learning and on library services. This paper examines the e-book market-place and the main UK responses to it (the Southern Universities Purchasing Consortium’s tender and the JISC E-Books Observatory project). Within this context the innovative measures already taken by Bournemouth University are discussed, as are plans to develop innovative pedagogic frameworks and an e-reading strategy through a Higher Education Academy-funded pathfinder project, Innovative E-Learning with E-Resources (eRes)

    A driving simulator study to explore the effects of text size on the visual demand of in-vehicle displays

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    Modern vehicles increasingly utilise a large display within the centre console, often with touchscreen capability, to enable access to a wide range of driving and non-driving-related functionality. The text provided on such displays can vary considerably in size, yet little is known about the effects of different text dimensions on how drivers visually sample the interface while driving and the potential implications for driving performance and user acceptance. A study is described in which sixteen people drove motorway routes in a medium-fidelity simulator and were asked to read text of varying sizes (9 mm, 8 mm, 6.5 mm, 5 mm, or 4 mm) from a central in-vehicle display. Pseudo-text was used as a stimulus to ensure that participants scanned the text in a consistent fashion that was unaffected by comprehension. There was no evidence of an effect of text size on the total time spent glancing at the display, but significant differences arose regarding how glances were distributed. Specifically, larger text sizes were associated with a high number of relatively short glances, whereas smaller text led to a smaller number of long glances. No differences were found in driving performance measures (speed, lateral lane position). Drivers overwhelmingly preferred the ‘compromise’ text sizes (6.5 mm and 8 mm). Results are discussed in relation to the development of large touchscreens within vehicles

    The imperial war museum’s social interpretation project

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    This report represents the output from research undertaken by University of Salford and MTM London as part of the joint Digital R&D Fund for Arts and Culture, operated by Nesta, Arts Council England and the AHRC. University of Salford and MTM London received funding from the programme to act as researchers on the Social Interpretation (SI) project, which was led by the Imperial War Museum (IWM) and their technical partners, The Centre for Digital Humanities, University College London, Knowledge Integration, and Gooii. The project was carried out between October 2011 and October 2012

    The study of probability model for compound similarity searching

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    Information Retrieval or IR system main task is to retrieve relevant documents according to the users query. One of IR most popular retrieval model is the Vector Space Model. This model assumes relevance based on similarity, which is defined as the distance between query and document in the concept space. All currently existing chemical compound database systems have adapt the vector space model to calculate the similarity of a database entry to a query compound. However, it assumes that fragments represented by the bits are independent of one another, which is not necessarily true. Hence, the possibility of applying another IR model is explored, which is the Probabilistic Model, for chemical compound searching. This model estimates the probabilities of a chemical structure to have the same bioactivity as a target compound. It is envisioned that by ranking chemical structures in decreasing order of their probability of relevance to the query structure, the effectiveness of a molecular similarity searching system can be increased. Both fragment dependencies and independencies assumption are taken into consideration in achieving improvement towards compound similarity searching system. After conducting a series of simulated similarity searching, it is concluded that PM approaches really did perform better than the existing similarity searching. It gave better result in all evaluation criteria to confirm this statement. In terms of which probability model performs better, the BD model shown improvement over the BIR model
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