The recent growth of digital interventions for mental well-being prompts a call-to-arms to explore the delivery of personalised recommendations from a user's perspective. In a randomised placebo study with a two-way factorial design, we analysed the difference between an autonomous user experience as opposed to personalised guidance, with respect to both users' preference and their actual usage of a mental well-being app. Furthermore, we explored users' preference in sharing their data for receiving personalised recommendations, by juxtaposing questionnaires and mobile sensor data. Interestingly, self-reported results indicate the preference for personalised guidance, whereas behavioural data suggests that a blend of autonomous choice and recommended activities results in higher engagement. Additionally, although users reported a strong preference of filling out questionnaires instead of sharing their mobile data, the data source did not have any impact on the actual app use. We discuss the implications of our findings and provide takeaways for designers of mental well-being applications.
翻译:最近,关于精神福祉的数字干预措施的增长促使人们从用户的角度出发,探寻提供个性化建议的方法。在一次随机的安慰剂研究中,我们分析了自主用户经验与个人化指导之间的区别,前者涉及用户的偏好,后者涉及他们实际使用心理福祉应用软件的情况。此外,我们探讨了用户在通过同时填写问卷和移动感应数据来分享其数据以接受个性化建议方面,是否更愿意分享数据。有趣的是,自我报告的结果表明他们更喜欢个人化指导,而行为数据则表明,将自主选择和建议的活动混合在一起,可以提高参与程度。此外,虽然用户报告强烈倾向于填写调查表,而不是分享移动数据,但数据源并未对实际应用产生任何影响。我们讨论了我们发现的影响,并为心理健康应用的设计者提供了取舍。