Human Computer Interaction Lab, Department of Cognitive Science, Yonsei University, Seoul, Republic of Korea.
Human Computer Interaction Lab, School of Business, Yonsei University, Seoul, Republic of Korea.
JMIR Form Res. 2024 Oct 24;8:e59623. doi: 10.2196/59623.
The growing concern on adolescent mental health calls for proactive early detection and intervention strategies. There is a recognition of the link between digital phenotypes and mental health, drawing attention to their potential use. However, the process of collecting digital phenotype data presents challenges despite its promising prospects.
This study aims to develop and validate system concepts for collecting adolescent digital phenotypes that effectively manage inherent challenges in the process.
In a formative investigation (N=34), we observed adolescent self-recording behaviors and conducted interviews to develop design goals. These goals were then translated into system concepts, which included planners resembling interfaces, simplified data input with tags, visual reports on behaviors and moods, and supportive ecological momentary assessment (EMA) prompts. A proof-of-concept study was conducted over 2 weeks (n=16), using tools that simulated the concepts to record daily activities and complete EMA surveys. The effectiveness of the system was evaluated through semistructured interviews, supplemented by an analysis of the frequency of records and responses.
The interview findings revealed overall satisfaction with the system concepts, emphasizing strong support for self-recording. Participants consistently maintained daily records throughout the study period, with no missing data. They particularly valued the recording procedures that aligned well with their self-recording goal of time management, facilitated by the interface design and simplified recording procedures. Visualizations during recording and subsequent report viewing further enhanced engagement by identifying missing data and encouraging deeper self-reflection. The average EMA compliance reached 72%, attributed to a design that faithfully reflected adolescents' lives, with surveys scheduled at convenient times and supportive messages tailored to their daily routines. The high compliance rates observed and positive feedback from participants underscore the potential of our approach in addressing the challenges of collecting digital phenotypes among adolescents.
Integrating observations of adolescents' recording behavior into the design process proved to be beneficial for developing an effective and highly compliant digital phenotype collection system.
青少年心理健康问题日益受到关注,这就需要积极主动地进行早期检测和干预。人们已经认识到数字表型与心理健康之间的联系,并开始关注它们的潜在应用。然而,尽管数字表型数据的收集具有广阔的前景,但在实际操作中仍存在诸多挑战。
本研究旨在开发和验证青少年数字表型数据收集系统概念,以有效应对该过程中固有的挑战。
在一项形成性研究(N=34)中,我们观察了青少年的自我记录行为并进行了访谈,以制定设计目标。然后,将这些目标转化为系统概念,包括类似于界面的规划器、带有标签的简化数据输入、行为和情绪的可视化报告以及支持的生态瞬时评估(EMA)提示。随后进行了为期 2 周的概念验证研究(n=16),使用模拟工具记录日常活动并完成 EMA 调查。通过半结构化访谈评估系统的有效性,并结合记录和回复的频率分析进行补充。
访谈结果显示,参与者对系统概念总体上表示满意,强调对自我记录的强烈支持。在整个研究期间,参与者始终保持日常记录,没有数据缺失。他们特别赞赏与他们的时间管理自我记录目标相一致的记录程序,界面设计和简化的记录程序为此提供了便利。在记录过程中以及随后的报告查看期间进行可视化进一步增强了参与度,通过识别缺失数据并鼓励更深入的自我反思来实现这一目标。平均 EMA 合规率达到 72%,这归因于设计忠实反映了青少年的生活,调查安排在方便的时间,并且根据他们的日常作息发送支持性信息。参与者的高合规率和积极反馈突显了我们的方法在解决青少年数字表型数据收集挑战方面的潜力。
将对青少年记录行为的观察纳入设计过程中,对于开发有效且高度合规的数字表型数据收集系统是有益的。