Abstract
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.
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CITATION STYLE
Yoo, S., Lemos, J., & Finn, E. (2017). Nellodee 2.0: A quantified self reading app for tracking reading goals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10296 LNCS, pp. 488–496). Springer Verlag. https://doi.org/10.1007/978-3-319-58515-4_37
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