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Designing Task Resumption Cues for Interruptions in Mobile Learning Scenarios

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Technology-Augmented Perception and Cognition

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

Learning on a mobile device in everyday settings makes users particularly susceptible for interruptions. Guidance (memory) cues can be implemented to support users in resuming a learning task after a distraction. These cues can take a wide range of forms and designs and, to work effectively, need to be carefully adapted to the mobile learning use case. In this work, we present a structured in-depth literature review on task resumption support for mobile devices. In particular, we propose a design space based on 30 carefully chosen publications to highlight well-evaluated design ideas as well as currently underrepresented research directions. Furthermore, we evaluate the causes of interruptions in the domain of mobile learning and derive design ideas for task resumption support on mobile devices. To this end, we conducted two focus groups with HCI experts (\(N=4\)) and users of mobile learning applications (\(N=3\)). Based on the literature review, focus groups, and further related work, we discuss ideas and research gaps for task resumption cues in mobile learning. We derive six design guidelines to support researchers and designers of mobile learning applications and emphasize promising research directions and open questions.

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Notes

  1. 1.

    Duolingo App: https://www.duolingo.com/, last access February 16, 2020.

  2. 2.

    Facebook Messenger App: https://play.google.com/store/apps/details?id=com.facebook.orca&hl=en, last access February 16, 2020.

  3. 3.

    Netflix: https://www.netflix.com/, last access February 16, 2020.

  4. 4.

    Dropbox: https://www.dropbox.com/, last access February 16, 2020.

  5. 5.

    Acrobat Reader: https://get.adobe.com/de/reader/, last access February 16, 2020).

  6. 6.

    ACM DL: https://dl.acm.org, last access February 16, 2020.

  7. 7.

    IEEE Xplore: https://ieeexplore.ieee.org/Xplore/home.jsp, last access February 16, 2020.

  8. 8.

    SpringerLink: https://link.springer.com, last access February 16, 2020.

  9. 9.

    ScienceDirect: https://www.sciencedirect.com, last access February 16, 2020.

  10. 10.

    Articles obtained from SpringerLink and ScienceDirect generally had higher scores because the result lists contained different types and amounts of meta-information.

  11. 11.

    Phase 6 App: https://itunes.apple.com/de/app/vokabeltrainer-phase6-classic/id441493173?mt=8, last access February 16, 2020.

  12. 12.

    Mondly App: https://itunes.apple.com/de/app/mondly-33-sprachen-lernen/id987873536?mt=8, last access February 16, 2020.

  13. 13.

    Forest App: https://www.forestapp.cc, last access February 16, 2020.

  14. 14.

    Content of the section “Evaluation Part II: Focus Group: Designing Task Resumption Cues for Mobile Learning” has been published in a revised version in an extended abstract format in the adjunct proceedings of the MobileHCI 2019 conference (Draxler et al. 2019).

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  1. LMU Munich, Munich, Germany

    Christina Schneegass & Fiona Draxler

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  1. Christina Schneegass
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  2. Fiona Draxler
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Correspondence to Christina Schneegass .

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  1. University of Melbourne, Melbourne, VIC, Australia

    Tilman Dingler

  2. Delft University of Technology, Delft, The Netherlands

    Evangelos Niforatos

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Schneegass, C., Draxler, F. (2021). Designing Task Resumption Cues for Interruptions in Mobile Learning Scenarios. In: Dingler, T., Niforatos, E. (eds) Technology-Augmented Perception and Cognition. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-030-30457-7_5

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