How “phubbing” becomes the norm: The antecedents and consequences of snubbing via smartphone
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Smartphones allow people to connect with others from almost anywhere at any time. However, there is growing concern that smartphones may actually sometimes detract, rather than complement, social interactions. The term “phubbing” represents the act of snubbing someone in a social setting by concentrating on one’s phone instead of talking to the person directly. The current study was designed to examine some of the psychological antecedents and consequences of phubbing behavior. We examined the contributing roles of Internet addiction, fear of missing out, self-control, and smartphone addiction, and how the frequency of phubbing behavior and of being phubbed may both lead to the perception that phubbing is normative. The results revealed that Internet addiction, fear of missing out, and self-control predicted smartphone addiction, which in turn predicted the extent to which people phub. This path also predicted the extent to which people feel that phubbing is normative, both via (a) the extent to which people are phubbed themselves, and (b) independently. Further, gender moderated the relationship between the extent to which people are phubbed and their perception that phubbing is normative. The present findings suggest that phubbing is an important factor in modern communication that warrants further investigation.
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The most commonly referenced cut-off point for determining when smartphone use becomes problematic was based on the work of Kwon, Lee, et al. (2013) and their Smartphone Addiction Scale.
“The most commonly referenced cut-off point for determining when smartphone use becomes problematic was based on the work of Kwon, Lee, et al. (2013) and their Smartphone Addiction Scale (Chotpitayasunondh & Douglas, 2016;Contractor et al., 2017;Enez;Enez Darcin et al., 2016;Hartanto & Yang, 2016).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Chotpitayasunondh & Douglas, 2016
The Characteristics section reports a cut-off for smartphone addiction, and the SAS-SV section says the short scale was developed from the original Smartphone Addiction Scale. The References identify Kwon, Lee, et al. (2013) with the original scale, but the paper uses the short version and does not say its cut-off is the most commonly referenced. (LLM, conf=0.88)
Experimental — accuracy not yet measuredOther studies found that PSU resulted in reduced mindfulness and phubbing, where smartphone users pay attention to their phone instead of engaging with the person in front of them.
“Yet other studies found that PSU resulted in reduced mindfulness (Chotpitayasunondh & Douglas, 2016;Lu et al., 2011;Vaghefi et al., 2017;Volkmer & Lermer, 2019) and phubbing, where smartphone users pays attention to their phone instead of engaging with the person in front of them.”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Chotpitayasunondh & Douglas, 2016
The Discussion reports that smartphone addiction predicted phubbing behavior, and the Introduction defines phubbing as focusing on a phone instead of another person. The paper does not report reduced mindfulness, although the citation appears alongside that part of the sentence (searched: mindfulness, mindful). (LLM, conf=0.86)
Experimental — accuracy not yet measuredResearch on gender differences suggests that males have a more instrumental view of smartphone use, whereas females use the smartphone more to facilitate social interaction.
“Research on gender differences suggests that males have a more instrumental view of smartphone use, whereas females use the smartphone more to facilitate social interaction (Anshari, Alas, & Sulaiman, 2019;Chotpitayasunondh & Douglas, 2016;Hong et al., 2012;Lee, Lee, et al., 2014;Van Deursen et al., 2015).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Chotpitayasunondh & Douglas, 2016
Gender moderates the relationship between the extent to which people are phubbed and their perception that phubbing is normative.
“Furthermore, gender was found to moderate the relationship between the extent to which people are phubbed and their perception that phubbing is normative (Chotpitayasunondh & Douglas, 2016).”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Chotpitayasunondh & Douglas, 2016
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- Authors
- Chotpitayasunondh, V., & Douglas, K. M.
- Affiliations
- University of Kent (GB)
- Corresponding author
- Chotpitayasunondh, Varoth
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 63
- Pages
- 9-18
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2352711343
- Cited by
- 954
- References
- 17
- Citations by year
- 2026: 106 · 2025: 159 · 2024: 121 · 2023: 137 · 2022: 104 · 2021: 115 · 2020: 98 · 2019: 59 · 2018: 39 · 2017: 9 · 2016: 5
- FWCI
- 106.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Computers in Human Behavior (publishedVersion, cc-by)
- Kent Academic Repository (University of Kent) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Demography › Cyberloafing and Workplace Behavior
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- phubbing, smartphone addiction, internet addiction, fear of missing out, self-control, perceived social norms, gender differences, social interaction, smartphone use
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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