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

N. Jamalian, Marios Constantinides, Sagar Joglekar, Xueni Pan, D. 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.
我们的推动,我们的自我:使用个性定制移动用户粘性
为了提高手机用户的粘性,目前的应用采用了各种各样的行为推动,但这些粘性技术都是一刀切的。然而,同样的技巧,不同的人可能会有不同的理解。为了测试这一点,我们开发了HarrySpotter,这是一个基于位置的AR应用程序,嵌入了六种参与技术。我们对29名用户进行了为期两周的研究,他们也接受了大五人格测试。对特定参与技巧的偏好不仅是描述性的,而且是预测性的。对于有责任心的用户(受到竞争的鼓励),R^2为0.16;对于神经质的用户(以自我为中心,专注于自己的成就),R^2为0.32;对于外向的用户(受到探索物体和地点的激励),R^2甚至高达0.61。这些发现表明,这些技术在未来需要个性化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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