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Erschienen in: Journal of Medical Systems 1/2014

01.01.2014 | Original Paper

The SAMS: Smartphone Addiction Management System and Verification

verfasst von: Heyoung Lee, Heejune Ahn, Samwook Choi, Wanbok Choi

Erschienen in: Journal of Medical Systems | Ausgabe 1/2014

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Abstract

While the popularity of smartphones has given enormous convenience to our lives, their pathological use has created a new mental health concern among the community. Hence, intensive research is being conducted on the etiology and treatment of the condition. However, the traditional clinical approach based surveys and interviews has serious limitations: health professionals cannot perform continual assessment and intervention for the affected group and the subjectivity of assessment is questionable. To cope with these limitations, a comprehensive ICT (Information and Communications Technology) system called SAMS (Smartphone Addiction Management System) is developed for objective assessment and intervention. The SAMS system consists of an Android smartphone application and a web application server. The SAMS client monitors the user’s application usage together with GPS location and Internet access location, and transmits the data to the SAMS server. The SAMS server stores the usage data and performs key statistical data analysis and usage intervention according to the clinicians’ decision. To verify the reliability and efficacy of the developed system, a comparison study with survey-based screening with the K-SAS (Korean Smartphone Addiction Scale) as well as self-field trials is performed. The comparison study is done using usage data from 14 users who are 19 to 50 year old adults that left at least 1 week usage logs and completed the survey questionnaires. The field trial fully verified the accuracy of the time, location, and Internet access information in the usage measurement and the reliability of the system operation over more than 2 weeks. The comparison study showed that daily use count has a strong correlation with K-SAS scores, whereas daily use times do not strongly correlate for potentially addicted users. The correlation coefficients of count and times with total K-SAS score are CC = 0.62 and CC =0.07, respectively, and the t-test analysis for the contrast group of potential addicts and the values for the non-addicts were p = 0.047 and p = 0.507, respectively.
Literatur
1.
Zurück zum Zitat Zheng, P., Lionel, N., Smart phone and next generation mobile computing, Morgan Kaufmann. 2010. Zheng, P., Lionel, N., Smart phone and next generation mobile computing, Morgan Kaufmann. 2010.
2.
Zurück zum Zitat Porter, G. Alleviating the dark side of smart phone use. In: Technology and Society (ISTAS), 2010 I.E. International Symposium; June 7–9, Rutgers. Conference Publications 435–440, 2010. Porter, G. Alleviating the dark side of smart phone use. In: Technology and Society (ISTAS), 2010 I.E. International Symposium; June 7–9, Rutgers. Conference Publications 435–440, 2010.
3.
Zurück zum Zitat Kim, D. I., Chung, Y. J., Lee, J. Y., et al., Development of smartphone addiction proneness scale for adults: Self-report. Korean J. Couns. 13(2):629–644, 2012. Kim, D. I., Chung, Y. J., Lee, J. Y., et al., Development of smartphone addiction proneness scale for adults: Self-report. Korean J. Couns. 13(2):629–644, 2012.
4.
Zurück zum Zitat Kwon, M., Lee, J. Y., Won, W. Y., et al., Development and validation of a smartphone addiction scale (SAS). PLoS One 8(2):e56936, 2013.CrossRef Kwon, M., Lee, J. Y., Won, W. Y., et al., Development and validation of a smartphone addiction scale (SAS). PLoS One 8(2):e56936, 2013.CrossRef
5.
Zurück zum Zitat Douglas, A. C., Mills, J. E., Niang, M., et al., Internet addiction: meta-synthesis of 1996–2006 quantitative research. Comput. Hum. Behav. 24(6):3027–3044, 2009.CrossRef Douglas, A. C., Mills, J. E., Niang, M., et al., Internet addiction: meta-synthesis of 1996–2006 quantitative research. Comput. Hum. Behav. 24(6):3027–3044, 2009.CrossRef
6.
Zurück zum Zitat Griffiths, M., Does Internet and computer addiction exists? some case study evidence. Cyber-Psychol. Behav. 3(2):211–218, 2000.CrossRef Griffiths, M., Does Internet and computer addiction exists? some case study evidence. Cyber-Psychol. Behav. 3(2):211–218, 2000.CrossRef
7.
Zurück zum Zitat Young, K. S., Internet addiction: symptoms, evaluation, and treatment. In VandeCreek, L., and Jackson, T. (eds.), Innovations in Clinical Practice: A Source Book, 17:19–31. Young, K. S., Internet addiction: symptoms, evaluation, and treatment. In VandeCreek, L., and Jackson, T. (eds.), Innovations in Clinical Practice: A Source Book, 17:19–31.
8.
Zurück zum Zitat Berg, M., Arts, J., and Lei, J., ICT in health care: Socio-technical approaches. Methods Inf. Med. 42(4):297–301, 2003. Berg, M., Arts, J., and Lei, J., ICT in health care: Socio-technical approaches. Methods Inf. Med. 42(4):297–301, 2003.
9.
Zurück zum Zitat Gustafson, D. H., Boyle, M. G., Shaw, B. R., et al., An e-health solution for people with alcohol problems. Alcohol Res. Health 33(4):327–337, 2011. Gustafson, D. H., Boyle, M. G., Shaw, B. R., et al., An e-health solution for people with alcohol problems. Alcohol Res. Health 33(4):327–337, 2011.
10.
Zurück zum Zitat Brady, P., Android anatomy and physiology. In Google IO developer conference. 2008. Brady, P., Android anatomy and physiology. In Google IO developer conference. 2008.
11.
Zurück zum Zitat Stefan, T., and Vinoski, S., Node. js: Using JavaScript to build high-performance network programs. Internet Comput. IEEE 14(6):80–83, 2010.CrossRef Stefan, T., and Vinoski, S., Node. js: Using JavaScript to build high-performance network programs. Internet Comput. IEEE 14(6):80–83, 2010.CrossRef
12.
Zurück zum Zitat Pautasso, C., Zimmermann, O., Leymann, F., Restful web services vs. big web services: Making the right architectural decision. In Proc. of ACM the 17th Int’l conference on World Wide Web: 805–814. 2008. Pautasso, C., Zimmermann, O., Leymann, F., Restful web services vs. big web services: Making the right architectural decision. In Proc. of ACM the 17th Int’l conference on World Wide Web: 805–814. 2008.
13.
Zurück zum Zitat Cattell, R., Scalable SQL and NoSQL data stores. ACM SIGMOD Record39, no. 4, 12–27, 2011. Cattell, R., Scalable SQL and NoSQL data stores. ACM SIGMOD Record39, no. 4, 12–27, 2011.
14.
Zurück zum Zitat Dean, J., and Ghemawat, S., MapReduce: simplified data processing on large clusters. Commun. ACM 51(1):107–113, 2008.CrossRef Dean, J., and Ghemawat, S., MapReduce: simplified data processing on large clusters. Commun. ACM 51(1):107–113, 2008.CrossRef
15.
Zurück zum Zitat Bostock, M., Ogievetsky, V., and Heer, J., D3 data-driven documents. IEEE Trans. Vis. Comput. Graph. 17(12):2301–2309, 2011.CrossRef Bostock, M., Ogievetsky, V., and Heer, J., D3 data-driven documents. IEEE Trans. Vis. Comput. Graph. 17(12):2301–2309, 2011.CrossRef
16.
Zurück zum Zitat Dennison, L., Morrison, L., Conway, G., Yardley, L. Opportunities and challenges for smartphone applications in supporting health behaviors change: qualitative study. J. Med. Internet Res. 15(4) 2013. Dennison, L., Morrison, L., Conway, G., Yardley, L. Opportunities and challenges for smartphone applications in supporting health behaviors change: qualitative study. J. Med. Internet Res. 15(4) 2013.
17.
Zurück zum Zitat Witkiewitz, K., and Marlart, G. A., Relapse prevention for alcohol and drug problems: that was Zen, this is tao. Am. Psychol. 59(4):224–235, 2004.CrossRef Witkiewitz, K., and Marlart, G. A., Relapse prevention for alcohol and drug problems: that was Zen, this is tao. Am. Psychol. 59(4):224–235, 2004.CrossRef
Metadaten
Titel
The SAMS: Smartphone Addiction Management System and Verification
verfasst von
Heyoung Lee
Heejune Ahn
Samwook Choi
Wanbok Choi
Publikationsdatum
01.01.2014
Verlag
Springer US
Erschienen in
Journal of Medical Systems / Ausgabe 1/2014
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-013-0001-1

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