Mobile ubiquity: Understanding the relationship between cognitive absorption, smartphone addiction and social network services

Barnes, Stuart J.; Pressey, Andrew D.; Scornavacca, Eusébio

doi:10.1016/j.chb.2018.09.013

Cited by 150 publications

(111 citation statements)

References 92 publications

(133 reference statements)

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“…. where highly engaging and engrossing experiences result in users' 'deep attention' and complete immersion and engagement with an activity" [25]. The multidimensional construct of CA has five dimensions: Temporal dissociation, focused immersion, heightened enjoyment, control, and curiosity, which follow closely with Griffiths' biopsychosocial model of addiction.…”

Section: Theories Adopted Across These Studiesmentioning

confidence: 88%

“…This perspective focuses on the intrapersonal reasons a person may fall into SA, with positive attitudes potentially bringing about positive reinforcement to keep engaging in the cycle of excessive smartphone use. Other theories helping to illustrate user adoption and acceptance of information technologies include diffusion of innovations (Rogers, 1962), the theory of planned behavior (Ajzen, 1985), and the technology acceptance model (TAM) (Davis, 1989) [25].…”

Section: Theories Adopted Across These Studiesmentioning

confidence: 99%

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Does Smartphone Addiction Fall on a Continuum of Addictive Behaviors?

Sussman

2020

IJERPH

116

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Due to the high accessibility and mobility of smartphones, widespread and pervasive smartphone use has become the social norm, exposing users to various health and other risk factors. There is, however, a debate on whether addiction to smartphone use is a valid behavioral addiction that is distinct from similar conditions, such as Internet and gaming addiction. The goal of this review is to gather and integrate up-to-date research on measures of smartphone addiction (SA) and problematic smartphone use (PSU) to better understand (a) if they are distinct from other addictions that merely use the smartphone as a medium, and (b) how the disorder(s) may fall on a continuum of addictive behaviors that at some point could be considered an addiction. A systematic literature search adapted from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was conducted to find all relevant articles on SA and PSU published between 2017 and 2019. A total of 108 articles were included in the current review. Most studies neither distinguished SA from other technological addictions nor clarified whether SA was an addiction to the actual smartphone device or to the features that the device offers. Most studies also did not directly base their research on a theory to explain the etiologic origins or causal pathways of SA and its associations. Suggestions are made regarding how to address SA as an emerging behavioral addiction.

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Section: Theories Adopted Across These Studiesmentioning

confidence: 88%

Section: Theories Adopted Across These Studiesmentioning

confidence: 99%

Does Smartphone Addiction Fall on a Continuum of Addictive Behaviors?

Sussman

2020

IJERPH

116

View full text Add to dashboard Cite

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“…Messaging apps have increased nomophobia, especially in teenagers, the age group most affected by this problem. Currently, the accelerating development of smartphones devices and the fact that they are easy to carry around all the time, means that mobile phones are replacing the internet as a primary addictive source [25]. In relation to gender, studies suggest that girls use their smartphones more often than boys and that their use is, therefore, more problematic [16].…”

Section: Risk Of Internet Addiction and Social Media Usementioning

confidence: 99%

Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents

Peris

Barrera

Schoeps

et al. 2020

IJERPH

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Adolescents’ addictive use of social media and the internet is an increasing concern among parents, teachers, researchers and society. The purpose was to examine the contribution of body self-esteem, personality traits, and demographic factors in the prediction of adolescents’ addictive use of social media and the internet. The participants were 447 Spanish adolescents aged 13−16 years (M = 14.90, SD = 0.81, 56.2% women). We measured gender, age, body self-esteem (body satisfaction and physical attractiveness), personality traits (extraversion, neuroticism, disinhibition and narcissism) and social networking and internet addiction (internet addiction symptoms, social media use, geek behaviour, and nomophobia). The effects of gender, age, body self-esteem and personality on the different dimensions of internet addiction were estimated, conducting hierarchical linear multiple regression analysis and a fuzzy-set qualitative comparative analysis (fsQCA). The results evidenced different pathways explaining four types of adolescents’ internet addiction: gender and disinhibition were the most relevant predictors of addiction symptoms; gender combined with physical attractiveness best explained social media use; narcissism and neuroticism appear to be the most relevant predictors of geek behaviour; and narcissism was the variable that best explained nomophobia. Furthermore, the advantages and differences between both methodologies (regressions vs. QCA) were discussed.

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“…1 The ability to access the internet and SNSs with a smartphone at all hours and locations renders excessive use especially facile. [2][3][4] Thus, excessive smartphone use bears further study, and there are several research gaps that can be identified.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal Effects of Excessive Smartphone Use on Stress and Loneliness: The Moderating Role of Self-Disclosure

Karsay

Schmuck

Matthes

et al. 2019

Cyberpsychology, Behavior, and Social Networking

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The present study investigates how excessive smartphone use predicts users' stress and loneliness while taking the moderating role of online self-disclosure into account. We conducted a two-wave panel survey with a quota sample of smartphone users (n = 461 at time 2 [T2]). We found no direct effects of excessive smartphone use on stress or loneliness. However, our results showed that online self-disclosure moderates the postulated relationships. That is, excessive smartphone use (time 1 [T1]) predicts increased stress (T2), for those smartphone users who do engage in little online self-disclosure. However, for those who communicate their feelings, anxieties, and problems online, excessive smartphone use (T1) can even reduce loneliness (T2) and relieve stress (T2).

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Mobile ubiquity: Understanding the relationship between cognitive absorption, smartphone addiction and social network services

Cited by 150 publications

References 92 publications

Does Smartphone Addiction Fall on a Continuum of Addictive Behaviors?

Does Smartphone Addiction Fall on a Continuum of Addictive Behaviors?

Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents

Longitudinal Effects of Excessive Smartphone Use on Stress and Loneliness: The Moderating Role of Self-Disclosure

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