• Title/Summary/Keyword: smartphone addiction propensities

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University Students' Smartphone Addiction Propensities according to Self-efficacy and Leisure-related Variables (대학생의 자기효능감 및 여가관련변수에 따른 스마트폰 중독성향)

  • Ryu, Mihyun
    • Journal of Families and Better Life
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    • v.32 no.1
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    • pp.63-79
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    • 2014
  • Recently, in our society, the use of smartphones has been widespread and changed our lives positively; however, the excessive use of smartphones has also produced many side effects. In particular, we can see that the reckless use of smartphones has constantly increased smartphone addiction propensities. University students, too, show smartphone addiction propensities more and more gradually; therefore this study intends to perform research related with smartphone addiction propensities with university students as the subjects. Since it is more and more important to perform leisure activities to prevent smartphone addiction and reduce addiction propensities, it can be said that the research on the correlation between leisure activities and smartphone addiction propensities is significant. The major findings of the research are as follows: First, among the smartphone addiction propensities, their tolerance and disturbance of adaptive function were relatively higher than other factors. Second, overall smartphone addiction affects the variables of gender (male), school year (freshmen), economic leisure constraints, time leisure constraints, and the adequacy of travel behavior, sports behavior, media use behavior, reading behavior, volunteer work and religious behavior. The adequacy of the media use behavior variables showed the greatest impact.

University Students' Propensity toward Smartphone Addiction Affects Their Leisure Satisfaction (대학생의 스마트폰 중독성향이 여가만족도에 미치는 영향)

  • Ryu, Mihyun;Cho, Hyangsook
    • Journal of Family Resource Management and Policy Review
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    • v.18 no.1
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    • pp.47-68
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    • 2014
  • This study investigated the relationship between smartphone addiction propensities and leisure satisfaction according to leisure time constraints among university students and attempted to promote an effective and desirable leisure culture. The main findings were as follows: First, leisure time constraints showed differences in terms of the withdrawal factors, overall smartphone addiction propensities, and leisure satisfaction; self-efficacy showed significant differences in terms of withdrawal and overall smartphone addiction propensities; and control showed a significant difference in leisure satisfaction. Second, in the case of university students, it was revealed that regardless of leisure constraints, as disturbance of daily living and tolerance are higher, leisure satisfaction is lower in those with smartphone addiction propensities.

A Comparison of EEG and Forearms EMG Activity depend on the Type of Smartphone when Inputting Text Messages (스마트폰 유형에 따른 문자 입력 시 뇌파 및 아래팔 근활성도 비교)

  • Lee, Hyoungsoo;Go, Gyeongjin;Kim, Jinwon;Park, Songyi;Park, Jiseon;Park, Jinri;Seok, Hyer;Yang, Gureum;Yang, Sieun;Yun, Gwangoh
    • Journal of The Korean Society of Integrative Medicine
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    • v.2 no.2
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    • pp.79-88
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    • 2014
  • Purpose: This study investigated the relationship between smartphone addiction propensities and compare muscle activity of the forearms and brain wave depend on the type of smartphone when inputting text messages. Method: We used an EMG to measure the change in muscle activity by attaching pads to the four muscles in both forearms of all 16 participants. We simultaneously conducted EEG measurements by observing the changes in alpha and beta waves recorded from electrode attached to both ears and the forehead of the participants. The participants had to input a given text using three different types of smartphones for ten minutes each. Result: The comparison of the EMG when inputting text involved a one way analysis of variance and the results showed that the iPad3 was highest for muscle activity followed by GALAXY Note2 and iPhone4. For EEG measurement, a one way analysis of variance was also used and the results showed iPhone4 was higest followed by GALAXY Note2 and finally iPad3 for EEG stress score. Conclusion: The results are thought to be used as reference data for smart phone users.