Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App)

Yu Hsuan Lin, Yu Cheng Lin, Yang Han Lee, Po Hsien Lin, Sheng Hsuan Lin, Li Ren Chang, Hsien Wei Tseng, Liang Yu Yen, Cheryl C H Yang, Terry B J Kuo

Research output: Contribution to journalArticle

115 Citations (Scopus)

Abstract

Background: Global smartphone penetration has brought about unprecedented addictive behaviors. Aims: We report a proposed diagnostic criteria and the designing of a mobile application (App) to identify smartphone addiction. Method: We used a novel empirical mode decomposition (EMD) to delineate the trend in smartphone use over one month. Results: The daily use count and the trend of this frequency are associated with smartphone addiction. We quantify excessive use by daily use duration and frequency, as well as the relationship between the tolerance symptoms and the trend for the median duration of a use epoch. The psychiatrists' assisted self-reporting use time is significant lower than and the recorded total smartphone use time via the App and the degree of underestimation was positively correlated with actual smartphone use. Conclusions: Our study suggests the identification of smartphone addiction by diagnostic interview and via the App-generated parameters with EMD analysis.

Original languageEnglish
Pages (from-to)139-145
Number of pages7
JournalJournal of Psychiatric Research
Volume65
DOIs
Publication statusPublished - Jun 1 2015
Externally publishedYes

Keywords

  • Empirical mode decomposition
  • Internet addiction
  • Mobile application
  • Smartphone addiction

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Psychiatry and Mental health
  • Biological Psychiatry

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