心理健康应用程序中的个性化建议：自主性和数据共享的影响
Personalised Recommendations in Mental Health Apps: The Impact of Autonomy and Data Sharing
摘要：
最近，针对心理健康的数字干预措施的增长促使人们呼吁从用户的角度探索个性化建议的交付。在一项采用双向析因设计的随机安慰剂研究中，我们分析了自主用户体验与个性化指导之间的差异，包括用户的偏好和他们对心理健康应用程序的实际使用情况。此外，我们还通过并列调查问卷和移动传感器数据，探讨了用户在分享数据以接受个性化建议方面的偏好。有趣的是，自我报告的结果表明对个性化指导的偏好，而行为数据表明，自主选择和推荐活动的混合导致更高的参与度。此外，尽管用户报告说他们更喜欢填写问卷而不是分享他们的移动数据，但数据源对实际应用程序的使用没有任何影响。我们讨论了我们的研究结果的影响，并为心理健康应用程序的设计者提供外卖。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
