Low self-control capacity is associated with immediate responses to smartphone signals

Berger, Sebastian; Wyss, Annika M.; Knoch, Daria

doi:10.1016/j.chb.2018.04.031

Cited by 54 publications

(30 citation statements)

References 38 publications

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“…In contrast, smartphone use among persons who are low in self-control seems to be more strongly influenced by sedentary behavior. An explanation could be that these individuals' attention was generally hijacked by the smartphone, which leads individuals to respond immediately to smartphone signals when they are sitting (Berger et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…This lack of self-control is intrinsically linked to problematic smartphone use. Indeed, a consistent body of research has shown that low levels of self-control not only predict high-frequency usage of smartphones (Wilmer and Chein, 2016;Berger et al, 2018) but also link to smartphone addiction such as withdrawal symptoms, mood changes and cyberspace-oriented relationship (Gökçearslan et al, 2016;Jiang and Zhao, 2016;Yun et al, 2016;Berger et al, 2018).…”

Section: Self-control As a Moderatormentioning

confidence: 99%

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Sedentary Behavior and Problematic Smartphone Use in Chinese Adolescents: The Moderating Role of Self-Control

et al. 2020

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This study investigated smartphone use characteristics including the purpose of smartphone use (i.e., leisure, learning, or work) and situational smartphone use (i.e., sitting, standing, or moving about) in Chinese adolescents. Moreover, it tested the moderating role of self-control in the link between sedentary behavior and problematic smartphone use. A total of 947 adolescents completed measures of the purpose of their smartphone use, situational smartphone use, sedentary behavior, self-control, time on smartphone, and smartphone addiction. Results showed that the majority of smartphone use was for leisure and learning, and 90.9% of adolescents reported typically sitting as they used the smartphone. Problematic smartphone use was positively correlated with sedentary behavior and negatively correlated with self-control. Moreover, the relationship between sedentary behavior and problematic smartphone use was moderated by self-control, in that the negative correlation was stronger for adolescents with low self-control and weaker for those with high self-control. These results contribute to the understanding of when sedentary behavior is associated with problematic smartphone use. Several limitations and implications are discussed in this study.

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Section: Discussionmentioning

confidence: 99%

Section: Self-control As a Moderatormentioning

confidence: 99%

Sedentary Behavior and Problematic Smartphone Use in Chinese Adolescents: The Moderating Role of Self-Control

et al. 2020

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“…For example, the evolving social identity of teens are moderated by feedback from their peers, often based on the speed of responses to messages, the level and type of use of a smartphone, and the online permanency, all these leading to the desired peer-status and gaining popularity among younger users (Fullwood et al 2017). Furthermore, for developing self-control in childhood, the continuous signals from their smartphones are strongly challenging, by choosing between the urge to respond or to delay the response in favor of a current activity (Berger et al 2018;Ihm 2018).…”

mentioning

confidence: 99%

Analysis of Problematic Smartphone Use Across Different Age Groups within the ‘Components Model of Addiction’

Csibi

Griffiths

Demetrovics

et al. 2019

Int J Ment Health Addiction

132

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Smartphones have rapidly become indispensable in modern life. The wide spectrum of activities and virtual interaction possibilities with the mobile device render some individuals prone to exaggerated use exhibiting core symptoms akin to substance addiction. The core common symptoms of addictions can be framed within the 'components model of addiction.' Based on the different pattern of smartphone use in various age groups, the symptoms and the risk of smartphone addiction may differ during various life stages. Some age groups may be more at risk of smartphone addiction than others. This hypothesis was tested utilizing data from six surveys comprising 1603 individuals representing various age groups. Results obtained through two recommended age-group analyses both confirmed that preschool children and young adults are at highest risk for smartphone-related addictive behavior. Furthermore, the various components of addiction also differed between the age groups. These results suggest that preventive measures should be primarily targeted to the two most vulnerable age groups represented by preschool children and emerging adults. The results of the present study help identify the dominant addiction symptoms in the various age groups that could pinpoint aspects which should be targeted in implementation of various measures aimed at the prevention of dysfunctional smartphone use.

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“…Nevertheless, lecturers should warn this large group of learners that, in addition to the advantages that social networks can bring for their academic results, these networks also entail significant risks. Students will definitely need to be reminded of the need to keep control over technology at all times to fend off such risks (Berger, Wyss & Knoch, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…One of the most important problems generated by social networks is the time spent on them, together with the fact that they can eventually create an addiction. Students become dependent on them, with a possible reduction in the level of attention devoted to studies (Berger, Wyss & Knoch, 2018). Some students are unable to impose strict limits on themselves in terms of time consumption (Paul et al, 2012).…”

Section: 1osn Weaknessesmentioning

confidence: 99%

University students and online social networks: Effects and typology

González

Gascó

Llopis

2019

Journal of Business Research

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Immersed, educated, and raised amid technology, the new student generation is formed by digital natives. The use of online social networks (OSNs) has soared in recent years, and students are among those who have adopted them more enthusiastically. Therefore, it is necessary to analyze how students' academic life is shaped by the use of such networks. After providing a review of the literature on OSNs and their influence on students, this study presents the results of a survey that proved helpful to assess students' opinions in this regard. A typology of students based on their perceptions of OSNs is provided. The findings suggest that students value the positive aspects of OSNs to a much greater extent than they value the negative aspects of OSNs.

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Low self-control capacity is associated with immediate responses to smartphone signals

Cited by 54 publications

References 38 publications

Sedentary Behavior and Problematic Smartphone Use in Chinese Adolescents: The Moderating Role of Self-Control

Sedentary Behavior and Problematic Smartphone Use in Chinese Adolescents: The Moderating Role of Self-Control

Analysis of Problematic Smartphone Use Across Different Age Groups within the ‘Components Model of Addiction’

University students and online social networks: Effects and typology

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