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

Jamalian, Nima; Constantinides, Marios; Joglekar, Sagar; Pan, Xueni and Quercia, Daniele. 2023. 'Our Nudges, Our Selves: Tailoring Mobile User Engagement Using Personality'. In: INTERACT 2023. York, United Kingdom 28 August - 1 September 2023. [Conference or Workshop Item]

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Abstract or Description

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. R2 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.

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

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

Additional Information:

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-42293-5_3

Keywords:

mobile engagement, gamification, personality traits, personalization

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
26 August 2023Published
26 May 2023Accepted

Event Location:

York, United Kingdom

Date range:

28 August - 1 September 2023

Item ID:

33987

Date Deposited:

30 Aug 2023 08:42

Last Modified:

13 Sep 2023 12:48

URI:

https://research.gold.ac.uk/id/eprint/33987

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