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arXiv · 2307.13145

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

Nima Jamalian·Marios Constantinides·Sagar Joglekar·Xueni Pan·Daniele Quercia
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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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Nima Jamalian, Marios Constantinides, Sagar Joglekar, Xueni Pan, Daniele Quercia. 2023-07-24. Our Nudges, Our Selves: Tailoring Mobile User Engagement Using Personality. https://arxiv.org/abs/2307.13145

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