National Health Research Institutes, Institute of Population Health Sciences, Miaoli County, Taiwan.
National Taiwan University, Department of Psychology, Taipei, Taiwan.
JMIR Mhealth Uhealth. 2019 Mar 26;7(3):e12171. doi: 10.2196/12171.
Assessing human behaviors via smartphone for monitoring the pattern of daily behaviors has become a crucial issue in this century. Thus, a more accurate and structured methodology is needed for smartphone use research.
The study aimed to investigate the duration of data collection needed to establish a reliable pattern of use, how long a smartphone use cycle could perpetuate by assessing maximum time intervals between 2 smartphone periods, and to validate smartphone use and use/nonuse reciprocity parameters.
Using the Know Addiction database, we selected 33 participants and passively recorded their smartphone usage patterns for at least 8 weeks. We generated 4 parameters on the basis of smartphone use episodes, including total use frequency, total use duration, proactive use frequency, and proactive use duration. A total of 3 additional parameters (root mean square of successive differences, Control Index, and Similarity Index) were calculated to reflect impaired control and compulsive use.
Our findings included (1) proactive use duration correlated with subjective smartphone addiction scores, (2) a 2-week period of data collection is required to infer a 2-month period of smartphone use, and (3) smartphone use cycles with a time gap of 4 weeks between them are highly likely independent cycles.
This study validated temporal stability for smartphone use patterns recorded by a mobile app. The results may provide researchers an opportunity to investigate human behaviors with more structured methods.
通过智能手机评估人类行为以监测日常行为模式已成为本世纪的一个关键问题。因此,需要更准确和结构化的方法来研究智能手机的使用。
本研究旨在探讨建立可靠使用模式所需的数据采集时间,通过评估两次智能手机使用间隔的最大时间间隔来确定智能手机使用周期可以持续多长时间,并验证智能手机使用和使用/不使用互反参数。
使用 Know Addiction 数据库,我们选择了 33 名参与者,并对他们的智能手机使用模式进行了至少 8 周的被动记录。我们根据智能手机使用事件生成了 4 个参数,包括总使用频率、总使用持续时间、主动使用频率和主动使用持续时间。总共计算了 3 个额外的参数(均方根连续差异、控制指数和相似性指数),以反映受损的控制和强迫性使用。
我们的研究结果包括:(1)主动使用持续时间与主观智能手机成瘾评分相关;(2)需要采集 2 周的数据才能推断 2 个月的智能手机使用情况;(3)间隔 4 周的智能手机使用周期很可能是独立的周期。
本研究验证了通过移动应用程序记录的智能手机使用模式的时间稳定性。研究结果可能为研究人员提供了一个机会,以更结构化的方法研究人类行为。