Suppr超能文献

用于收集实时数据和促进自我意识的智能手机生态瞬间评估/干预“应用程序”。

A smartphone ecological momentary assessment/intervention "app" for collecting real-time data and promoting self-awareness.

机构信息

Behavioral Science Division, Indiana Wesleyan University, Marion, Indiana, United States of America.

出版信息

PLoS One. 2013 Aug 14;8(8):e71325. doi: 10.1371/journal.pone.0071325. eCollection 2013.

Abstract

We have designed a flexible ecological momentary assessment/intervention smartphone (EMA/EMI) "app". We examine the utility of this app for collecting real-time data, and assessing intra-subject variability, by using it to assess how freshman undergraduates spend their time. We also explore whether its use can promote greater self-awareness. Participants were randomly divided into an experimental group, who used the app, and a control group, who did not. We used the app to collect both randomized in-the-moment data as well as end-of-day data to assess time use. Using a posttest survey we asked participants questions about how they spent time throughout the school semester. We also asked the experimental group about their experience with the app. Among other findings, 80.49% participants indicated that they became more aware of how they spent their time using the app. Corroborating this report, among the experimental group, end-of-semester self-assessment of time spent wasted, and time spent using electronics recreationally, predicted semester GPA at a strength comparable to high school GPA and ACT score (two of the best single predictors for first semester college GPA), but had no correlation among controls. We discuss the advantages and limitations of using apps, such as ours, for EMA and/or EMI.

摘要

我们设计了一个灵活的基于智能手机的生态瞬时评估/干预(EMA/EMI)“应用程序”。我们通过使用该应用程序评估新生大学生如何分配时间,来检验其收集实时数据和评估个体内变异性的效用。我们还探讨了其使用是否可以提高自我意识。参与者被随机分为实验组和对照组,实验组使用应用程序,对照组不使用。我们使用该应用程序收集随机即时数据和每日结束时的数据,以评估时间使用情况。我们使用后测调查询问了参与者关于他们在整个学期内如何分配时间的问题。我们还询问了实验组关于他们使用应用程序的经验。除其他发现外,80.49%的参与者表示,他们通过使用该应用程序更加了解自己的时间分配情况。这一报告得到了证实,在实验组中,学期末自我评估浪费的时间和休闲使用电子设备的时间,与高中 GPA 和 ACT 分数(预测第一学期大学 GPA 的两个最佳单一预测指标)相当,可以预测学期 GPA,但对照组没有相关性。我们讨论了使用我们这样的应用程序进行 EMA 和/或 EMI 的优势和局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8868/3743745/a9e6bc5b3fdc/pone.0071325.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验