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首页> 外文会议>Proceedings of the 2011 ACM/IEEE on joint conference on digital libraries. >Understanding Digital Library Adoption: A Use Diffusion Approach
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Understanding Digital Library Adoption: A Use Diffusion Approach

机译：了解数字图书馆的采用：使用扩散方法

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摘要

With the growth in operational digital libraries, the need for automatic methods capable of characterizing adoption and use has grown. We describe a computational methodology for producing two, inter-related, user typologies based on use diffusion. Use diffusion theory views technology adoption as a process that can lead to widely different patterns of use across a given population of potential users; these models use measures of frequency arid variety to characterize and describe these usage patterns. The methodology uses computational techniques such as clickstream entropy and clustering to produce both coarse-grained and fine-grained user typologies. A case study demonstrates the utility and applicability of the method: it is used to understand how middle and high school science teachers participating in an academic year-long field trial adopted and integrated digital library resources into their instructional planning and teaching. The resulting fine-grained user typology identified five different types of teacher-users, including "interactive resource specialists" and "community seeker specialists." This typology was validated through comparison with qualitative and quantitative data collected using traditional educational field research methods.
机译：随着业务数字图书馆的增长，对能够表征采用和使用的自动方法的需求也在增长。我们描述了一种基于使用扩散产生两种相互关联的用户类型的计算方法。使用扩散理论将技术采用视为一个过程，可以在给定的潜在用户群体中导致广泛不同的使用模式；这些模型使用频率和多样性的度量来表征和描述这些使用模式。该方法使用诸如点击流熵和聚类之类的计算技术来生成粗粒度和细粒度的用户类型。案例研究表明了该方法的实用性和适用性：它用于了解参加一项为期一年的学术研究的中学和中学科学教师如何采用数字图书馆资源并将其整合到他们的教学计划和教学中。由此产生的细粒度用户类型确定了五种不同类型的教师用户，包括“交互式资源专家”和“社区寻求者专家”。通过与使用传统教育现场研究方法收集的定性和定量数据进行比较，验证了这种类型。

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