Smartphones and close relationships: the case for an evolutionary mismatch
Abstract
This article introduces and outlines the case for an evolutionary mismatch between smartphones and the social behaviors that help form and maintain close social relationships. As psychological adaptations that enhance human survival and inclusive fitness, self-disclosure and responsiveness evolved in the context of small kin networks to facilitate social bonds, promote trust, and enhance cooperation. These adaptations are central to the development of attachment bonds, and attachment theory is a middle-level evolutionary theory that provides a robust account of the ways human bonding provides for reproductive and inclusive fitness. Evolutionary mismatches operate when modern contexts cue ancestral adaptations in a manner that does not provide for their adaptive benefits. We argue that smartphones and their affordances, although highly beneficial in many circumstances, cue humans’ evolved needs for self-disclosure and responsiveness across broad virtual networks and, in turn, have the potential to undermine immediate interpersonal interactions. We review emerging evidence on the topic of technoference, which is defined as the ways in which smartphone use may interfere with or intrude into everyday social interactions. The article concludes with an empirical agenda for advancing the integrative study of smartphones, intimacy processes, and close relationships.
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Smartphones influence well-being by interfering with concurrent activities (the interference hypothesis).
“According to the interference hypothesis [24,25], the frequency of phone use is critical for understanding the effects of smartphones on well-being (Table 1).”
From The effects of smartphones on well-being: theoretical integration and research agenda (2020) · cites this paper as [25]
The frequency of phone use is critical for understanding the effects of smartphones on well-being.
“According to the interference hypothesis [24,25], the frequency of phone use is critical for understanding the effects of smartphones on well-being (Table 1).”
From The effects of smartphones on well-being: theoretical integration and research agenda (2020) · cites this paper as [25]
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- Authors
- Sbarra, D. A., Briskin, J. L., & Slatcher, R. B.
- Affiliations
- University of Arizona (US)
- Wayne State University (US)
- Corresponding author
- Sbarra, David A.
- Venue
- Perspectives on Psychological Science
- Publisher
- SAGE Publications
- Published
- 2019-04-19
- Volume
- 14
- Issue
- 4
- Pages
- 596-618
- ISSN
- 1745-6916 (ISSN-L)
- 1745-6924
- OpenAlex
- W2902638667
- Semantic Scholar
- f02a1245ac9c7b9b4e17fb55933afa073ac1fcea
- Cited by
- 162
- References
- 132
- Citations by year
- 2026: 16 · 2025: 22 · 2024: 28 · 2023: 21 · 2022: 15 · 2021: 16 · 2020: 41 · 2019: 3
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Perspectives on Psychological Science (publishedVersion)
- PubMed (publishedVersion)
- UA Campus Repository (The University of Arizona) (acceptedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Keywords
- smartphones, close relationships, evolutionary mismatch, technoference, self-disclosure, responsiveness, attachment theory, intimacy, social interaction, inclusive fitness, family networks, social networking sites
- MeSH terms
- Smartphone, Biological Evolution, Humans, Interpersonal Relations, Object Attachment, Social Behavior, Trust
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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