Nellodee 2.0: A Quantified Self Reading App for Tracking Reading Goals
Nellodee 2.0: A Quantified Self Reading App for Tracking Reading Goals
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Nellodee 2.0：用于跟踪阅读目标的量化自读应用程序
DOI：
10.1007/978-3-319-58515-4_37
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
E. Finn
中科院分区：
文献类型：
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作者：
S. Yoo;Jonatan Lemos;E. Finn
如今，许多读者都在努力完成他们打算阅读的书籍。为了找到这个问题的解决方案，我们进行了一项设计练习，开发了一款名为 Nellodee 的阅读应用程序，该应用程序使用量化自我 (QS) 方法来跟踪阅读目标。该应用程序允许读者估计他们需要阅读的页数才能达到每日阅读目标，并跟踪他们随时间的进展，使他们能够反思自己的阅读表现。在本文中，我们介绍了系统的设计和实现，并讨论了早期试点测试的结果。
Many readers nowadays struggle with finishing the books that they set out to read. To find a solution to this issue, we performed a design exercise which resulted in the development of a reading app that uses a quantified self (QS) approach to track reading goals, called Nellodee. This app allows readers to estimate the number of pages they would have to read to reach a daily reading goal and tracks their progress over time enabling them to reflect on their reading performance. In this paper, we present the design and implementation of our system and the results of an early pilot test are discussed.