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Record W4406899802 · doi:10.1016/j.chb.2025.108583

The role of flow and media multitasking for problematic smartphone use and the different types of smartphone use

2025· article· en· W4406899802 on OpenAlexfundno aff
Lea-Christin Wickord, Claudia Quaiser‐Pohl

Bibliographic record

VenueComputers in Human Behavior · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
FundersCanada Foundation for Innovation
KeywordsHuman multitaskingPsychologyFlow (mathematics)Media useCognitive psychologyInternet privacyComputer scienceHuman–computer interactionSocial psychologyMathematics

Abstract

fetched live from OpenAlex

This study examines the relationship between flow and multitasking in the context of problematic smartphone use (PSU). PSU is the inability to regulate smartphone use, which has negative consequences. The study examines how flow, a state of intense concentration and immersion, contributes to PSU, mainly when facilitated by media multitasking - the simultaneous engagement in multiple media activities and how these factors are associated with the different types of uses. Data were collected from 374 participants, including 219 women, 154 men and one non binary person, with an average age of 31.72 years and mainly consisted of students. Standardized questionnaires were used to collect the data, including the Mobile Phone Problem Use Scale (MPPUS-10), screen time measurement, usage type scales, and the Media Multitasking-Revised Scale (MMT-R). The results of correlation analyses showed that procedural and habitual smartphone use significantly predict flow and media multitasking. Additionally, the results of mediation analyses revealed that media multitasking mediates the correlation between flow and PSU and between flow and screen time. These mediations emphasize the reinforcing effects of multitasking on flow and PSU. The study complements the current research with a meaningful new contribution on the role of media multitasking in problematic smartphone use behaviours and screen time, showing that its mediating role should be considered in interventions for healthier smartphone use. • Procedural and habitual smartphone use significantly predict flow and media multitasking. • Multitasking mediates the correlation between flow and PSU and between flow and screen time. • These mediations emphasize the reinforcing effects of multitasking on flow and PSU. • The findings highlight the need for targeted interventions that address media multitasking behaviors and the experience of flow and promote healthier smartphone use patterns.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.299
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2025
Admission routes1
Has abstractyes

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