Examination of Validity of Smartphone Addiction by Biometric Sensing

Chiyako Hisanaga, Suzumi Sato, Megumi Saito, Shigeru Shimamoto, Nao Kobayashi

研究成果: Conference contribution

抄録

Smartphone addiction is a state of mental dependence in which users cannot stop interacting with smartphones despite it being the cause of various problems in daily and social life. If left unregulated, it will negatively impact not only the user's mental health but also their physiological health. Therefore, it is necessary to grasp the extent of user's smartphone addiction easily. In this paper, we examined the feasibility of using biometric information to detect smartphone addiction. In the experiment, measurements biometric data from subjects in their twenties were taken while they use smartphone or not use it. The biometric information measured are blood pressure, pulse, blood glucose, and brain waves (θ, α1, α2, α3, and β waves). The measuring results are separated by subjects' smartphone addiction test score and their behaviors and compared. In blood glucose, there is the difference in the tendency of fluctuate depending smartphone use and the degree of smartphone addiction. The correlation coefficient between blood glucose and α3 waves when high addiction subjects use smartphone is -0.949. Results show that there is a noticeable difference in biometric information depending on their smartphone use and the extent to which a user is addicted to their smartphone.

本文言語English
ホスト出版物のタイトルLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
出版社Institute of Electrical and Electronics Engineers Inc.
ページ404-407
ページ数4
ISBN(電子版)9781665419048
DOI
出版ステータスPublished - 2022
イベント4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022 - Osaka, Japan
継続期間: 2022 3月 72022 3月 9

出版物シリーズ

名前LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies

Conference

Conference4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
国/地域Japan
CityOsaka
Period22/3/722/3/9

ASJC Scopus subject areas

  • 農業および生物科学(その他)
  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 生体医工学
  • 器械工学
  • 教育

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