Nellodee 2.0: A quantified self reading app for tracking reading goals

Sanghyun Yoo, Jonatan Lemos, Edward Finn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationLearning and Collaboration Technologies
Subtitle of host publicationTechnology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017, Proceedings
PublisherSpringer Verlag
Pages488-496
Number of pages9
Volume10296 LNCS
ISBN (Print)9783319585147
DOIs
StatePublished - 2017
Event4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017 - Vancouver, Canada
Duration: Jul 9 2017Jul 14 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10296 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Learning and Collaboration Technologies, LCT 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017
CountryCanada
CityVancouver
Period7/9/177/14/17

Keywords

  • Digital reading app
  • Goal-setting
  • Personal informatics
  • Quantified self
  • Reading
  • Reading goals
  • Self-monitoring
  • Self-tracking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Yoo, S., Lemos, J., & Finn, E. (2017). Nellodee 2.0: A quantified self reading app for tracking reading goals. In Learning and Collaboration Technologies: Technology in Education - 4th International Conference, LCT 2017 Held as Part of HCI International 2017, Proceedings (Vol. 10296 LNCS, pp. 488-496). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10296 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-58515-4_37