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Technology-Augmented Perception and CognitionDesigning Task Resumption Cues for Interruptions in Mobile Learning Scenarios

Technology-Augmented Perception and Cognition: Designing Task Resumption Cues for Interruptions... [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\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N=4$$\end{document}) and users of mobile learning applications (N=3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N=3$$\end{document}). 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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Technology-Augmented Perception and CognitionDesigning Task Resumption Cues for Interruptions in Mobile Learning Scenarios

Part of the Human–Computer Interaction Series Book Series
Editors: Dingler, Tilman; Niforatos, Evangelos
Schneegass, Christina; Draxler, Fiona
Technology-Augmented Perception and Cognition — Jan 5, 2021
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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2021
ISBN
978-3-030-30456-0
Pages
125 –181
DOI
10.1007/978-3-030-30457-7_5
Publisher site
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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\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N=4$$\end{document}) and users of mobile learning applications (N=3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N=3$$\end{document}). 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.]

Published: Jan 5, 2021

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