完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Pan, Yuan-Chien | en_US |
dc.contributor.author | Lin, Hsiao-Han | en_US |
dc.contributor.author | Chiu, Yu-Chuan | en_US |
dc.contributor.author | Lin, Sheng-Hsuan | en_US |
dc.contributor.author | Lin, Yu-Hsuan | en_US |
dc.date.accessioned | 2019-05-02T00:25:57Z | - |
dc.date.available | 2019-05-02T00:25:57Z | - |
dc.date.issued | 2019-03-26 | en_US |
dc.identifier.issn | 2291-5222 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2196/12171 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/151678 | - |
dc.description.abstract | Background: 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. Objective: 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. Methods: 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. Results: 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. Conclusions: 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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | temporal stability | en_US |
dc.subject | smartphone use | en_US |
dc.subject | smartphone addiction | en_US |
dc.subject | smartphone | en_US |
dc.subject | mobile phone | en_US |
dc.title | Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.2196/12171 | en_US |
dc.identifier.journal | JMIR MHEALTH AND UHEALTH | en_US |
dc.citation.volume | 7 | en_US |
dc.citation.issue | 3 | en_US |
dc.citation.spage | 0 | en_US |
dc.citation.epage | 0 | en_US |
dc.contributor.department | 統計學研究所 | zh_TW |
dc.contributor.department | Institute of Statistics | en_US |
dc.identifier.wosnumber | WOS:000463347000001 | en_US |
dc.citation.woscount | 0 | en_US |
顯示於類別: | 期刊論文 |