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Our Nudges, Our Selves: Tailoring Mobile User Engagement Using Personality

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Human-Computer Interaction – INTERACT 2023 (INTERACT 2023)

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Abstract

To increase mobile user engagement, current apps employ a variety of behavioral nudges, but these engagement techniques are applied in a one-size-fits-all approach. Yet the very same techniques may be perceived differently by different individuals. To test this, we developed HarrySpotter, a location-based AR app that embedded six engagement techniques. We deployed it in a 2-week study involving 29 users who also took the Big-Five personality test. Preferences for specific engagement techniques are not only descriptive but also predictive of personality traits. The Adj. \(R^2\) ranges from 0.16 for conscientious users (encouraged by competition) to 0.32 for neurotic users (self-centered and focused on their own achievements), and even up to 0.61 for extroverts (motivated by both exploration of objects and places). These findings suggest that these techniques need to be personalized in the future.

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Authors and Affiliations

  1. Goldsmiths, University of London, London, UK

    Nima Jamalian & Xueni Pan

  2. Nokia Bell Labs, Cambridge, UK

    Marios Constantinides, Sagar Joglekar & Daniele Quercia

Authors
  1. Nima Jamalian
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  2. Marios Constantinides
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  3. Sagar Joglekar
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  4. Xueni Pan
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  5. Daniele Quercia
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Corresponding author

Correspondence to Marios Constantinides .

Editor information

Editors and Affiliations

  1. University of West London, London, UK

    José Abdelnour Nocera

  2. Reykjavik University, Reykjavik, Iceland

    Marta Kristín Lárusdóttir

  3. University of York, York, UK

    Helen Petrie

  4. University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  5. Université Côte d’Azur, Sophia Antipolis Cedex, France

    Marco Winckler

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Jamalian, N., Constantinides, M., Joglekar, S., Pan, X., Quercia, D. (2023). Our Nudges, Our Selves: Tailoring Mobile User Engagement Using Personality. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14145. Springer, Cham. https://doi.org/10.1007/978-3-031-42293-5_3

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  • DOI: https://doi.org/10.1007/978-3-031-42293-5_3

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