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.

翻译：为了提升移动用户参与度，当前应用采用了多种行为助推策略，但这些参与技巧以“一刀切”的方式应用。然而，相同的技巧可能被不同个体以不同方式感知。为验证这一点，我们开发了基于位置的增强现实应用HarrySpotter，其中嵌入了六种参与技巧。通过一项涉及29名用户的为期两周的研究（这些用户还完成了大五人格测试），发现对特定参与技巧的偏好不仅具有描述性，还能预测人格特质。调整后的$R^2$范围从具有责任心的用户（受竞争激励）的0.16，到神经质用户（以自我为中心且专注于自身成就）的0.32，甚至高达外向型用户（受探索物体和地点激励）的0.61。这些发现表明，未来需要对这些技巧进行个性化定制。