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Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle

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 collec...

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Autores principales: Pan, Yuan-Chien, Lin, Hsiao-Han, Chiu, Yu-Chuan, Lin, Sheng-Hsuan, Lin, Yu-Hsuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454342/
https://www.ncbi.nlm.nih.gov/pubmed/30912751
http://dx.doi.org/10.2196/12171
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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 PubMed
description 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.
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spelling pubmed-64543422019-04-26 Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle Pan, Yuan-Chien Lin, Hsiao-Han Chiu, Yu-Chuan Lin, Sheng-Hsuan Lin, Yu-Hsuan JMIR Mhealth Uhealth Original Paper 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. JMIR Publications 2019-03-26 /pmc/articles/PMC6454342/ /pubmed/30912751 http://dx.doi.org/10.2196/12171 Text en ©Yuan-Chien Pan, Hsiao-Han Lin, Yu-Chuan Chiu, Sheng-Hsuan Lin, Yu-Hsuan Lin. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 26.03.2019. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
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
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
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454342/
https://www.ncbi.nlm.nih.gov/pubmed/30912751
http://dx.doi.org/10.2196/12171
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