Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle
BackgroundAssessing 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. ObjectiveThe study aimed to investigate the duration of dat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2019-03-01
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| Series: | JMIR mHealth and uHealth |
| Online Access: | http://mhealth.jmir.org/2019/3/e12171/ |
| _version_ | 1818879480995774464 |
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| author | Pan, Yuan-Chien Lin, Hsiao-Han Chiu, Yu-Chuan Lin, Sheng-Hsuan Lin, Yu-Hsuan |
| author_facet | Pan, Yuan-Chien Lin, Hsiao-Han Chiu, Yu-Chuan Lin, Sheng-Hsuan Lin, Yu-Hsuan |
| author_sort | Pan, Yuan-Chien |
| collection | DOAJ |
| description | BackgroundAssessing 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.
ObjectiveThe 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.
MethodsUsing 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.
ResultsOur 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.
ConclusionsThis 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. |
| first_indexed | 2024-12-19T14:30:45Z |
| format | Article |
| id | doaj.art-29590dee9ed94948b9dfbd85e5c3a6a0 |
| institution | Directory Open Access Journal |
| issn | 2291-5222 |
| language | English |
| last_indexed | 2024-12-19T14:30:45Z |
| publishDate | 2019-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR mHealth and uHealth |
| spelling | doaj.art-29590dee9ed94948b9dfbd85e5c3a6a02022-12-21T20:17:28ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222019-03-0173e1217110.2196/12171Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent CyclePan, Yuan-ChienLin, Hsiao-HanChiu, Yu-ChuanLin, Sheng-HsuanLin, Yu-HsuanBackgroundAssessing 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. ObjectiveThe 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. MethodsUsing 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. ResultsOur 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. ConclusionsThis 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.http://mhealth.jmir.org/2019/3/e12171/ |
| spellingShingle | Pan, Yuan-Chien Lin, Hsiao-Han Chiu, Yu-Chuan Lin, Sheng-Hsuan Lin, Yu-Hsuan Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle JMIR mHealth and uHealth |
| title | Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle |
| title_full | Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle |
| title_fullStr | Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle |
| title_full_unstemmed | Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle |
| title_short | Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle |
| title_sort | temporal stability of smartphone use data determining fundamental time unit and independent cycle |
| url | http://mhealth.jmir.org/2019/3/e12171/ |
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