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Re-designing the Interaction of Day-to-Day Applications to Support Sustained Attention Level

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14054))

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Abstract

Digital distractions in decreasing people’s attentional abilities have become a subject of increasing concern and scrutiny in recent years. Based on the existing literature regarding the negative impact of technology on attention, this paper examines various solutions, encompassing mostly reactive strategies. It also questions the prevailing design practices prioritising learnability and efficiency and proposes a shift towards designing interactions that minimise distractions and promote sustained attention while emphasising the negative consequences of distraction-prone interactions on users’ attentional resources. As a proactive solution, we present a novel interaction strategy called “Attention mode,” which selectively reduces distractions when using apps. We developed three prototypes that consistently incorporate this strategy, each used in a different application on a different device: a news website on a desktop, an e-book reading app on a tablet, and a video-watching app on a smartphone. We conducted usability testing with 13 participants to evaluate this design feature and address the implications of these in the interaction design knowledge and practice today. By advocating for considering users’ attentional abilities in design, this work contributes to the field of Human-Computer Interaction (HCI) and calls for a balance between cognitive well-being and traditional usability criteria.

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Notes

  1. 1.

    Cognitive Behavioural Therapy.

  2. 2.

    “↑” icon refers to improvement in attention and executive control whereas “↓” refers to deterioration.

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Acknowledgement

This work was conducted with the financial support of the SFI Centre for Research Training in Digitally-Enhanced Reality (d-real) under Grant No. 18/CRT/6224 and the SFI Centre Grant No. 12/RC/2289_P2 at Insight the SFI Research Centre for Data Analytics at Dublin City University. For the purpose of Open Access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission.

Author information

Authors and Affiliations

  1. School of Computing, Dublin City University, Glasnevin, Dublin 9, Ireland

    Naile Hacioglu & Hyowon Lee

  2. School of Food Science and Environmental Health, Technological University Dublin, Grangegorman, Dublin, Ireland

    Maria Chiara Leva

  3. Insight Centre for Data Analytics, Dublin City University, Glasnevin, Dublin 9, Ireland

    Hyowon Lee

Authors
  1. Naile Hacioglu
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  2. Maria Chiara Leva
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  3. Hyowon Lee
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Corresponding author

Correspondence to Naile Hacioglu .

Editor information

Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Hosei University, Tokyo, Japan

    Ayako Hashizume

  3. Aaron Marcus and Associates, Berkeley, CA, USA

    Aaron Marcus

  4. World Usability Day and Bubble Mountain Consulting, Newton Center, MA, USA

    Elizabeth Rosenzweig

  5. Southern University of Science and Technology, Shenzhen, China

    Marcelo M. Soares

  6. Coventry University, Coventry, UK

    Don Harris

  7. Cranfield University, Cranfield, UK

    Wen-Chin Li

  8. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  9. Katmai Government Services, Orlando, FL, USA

    Cali M. Fidopiastis

  10. Tsinghua University, Bei**g, China

    Pei-Luen Patrick Rau

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Hacioglu, N., Leva, M.C., Lee, H. (2023). Re-designing the Interaction of Day-to-Day Applications to Support Sustained Attention Level. In: Kurosu, M., et al. HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14054. Springer, Cham. https://doi.org/10.1007/978-3-031-48038-6_23

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  • DOI: https://doi.org/10.1007/978-3-031-48038-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48037-9

  • Online ISBN: 978-3-031-48038-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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