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AttentionBoard: A Quantified-Self Dashboard for Enhancing Attention Management with Eye-Tracking

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Information Systems and Neuroscience (NeuroIS 2020)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 43))

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Abstract

In the age of information, office workers process huge amounts of information and distribute their attention to several tasks in parallel. However, attention is a scarce resource and attentional breakdowns, such as missing important information, may occur while using information systems (IS). Currently, there is a lack of support to understand and improve attention management to avoid such breakdowns. In the meantime, self-tracking applications are becoming popular due to the increasing sensory capabilities of smart devices. These systems support their users in understanding and reflecting their behavior. In this research-in-progress paper, we suggest leveraging self-tracking concepts for attention management while working with ISs and describe the design of the NeuroIS-based system called “AttentionBoard”. The goal of AttentionBoard is to help office workers in improving their attention management competencies. The system records attention allocation in real-time using eye-tracking and presents the aggregated data as metrics and visualizations on a dashboard. This paper presents the first step by motivating and introducing an initial design following the design science research (DSR) methodology.

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Author information

Authors and Affiliations

  1. Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM), Karlsruhe, Germany

    Moritz Langner, Peyman Toreini & Alexander Maedche

Authors
  1. Moritz Langner
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  2. Peyman Toreini
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  3. Alexander Maedche
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Corresponding author

Correspondence to Moritz Langner .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Austria

    René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, QC, Canada

    Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, GA, USA

    Adriane B. Randolph

  6. Department for Digital Business, University of Applied Sciences Upper Austria, Steyr, Austria

    Thomas Fischer

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Langner, M., Toreini, P., Maedche, A. (2020). AttentionBoard: A Quantified-Self Dashboard for Enhancing Attention Management with Eye-Tracking. In: Davis, F.D., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A.B., Fischer, T. (eds) Information Systems and Neuroscience. NeuroIS 2020. Lecture Notes in Information Systems and Organisation, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-60073-0_31

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  • DOI: https://doi.org/10.1007/978-3-030-60073-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60072-3

  • Online ISBN: 978-3-030-60073-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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