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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Technology Addictions and Focus Management: Impacts and Solutions for Digital Well-being

Authors: Khatide, Ndaya;

Technology Addictions and Focus Management: Impacts and Solutions for Digital Well-being

Abstract

Smartphone, social media, and electronic entertainment like games with an addiction to technology that affects the cognitive well-being, led to a decrease in attention and concentration over educational, work, and even clinical life. Old forms of intervention to control digital distraction have been observed to be reactive and did not have a personalized approach and real-time flexibility. It is a ground-breaking chance because emerging digital wellness technologies provide an opportunity to manage continuous, context-conscious focus, and addiction reduction. This is a systematic review that assesses the use of technology-based interventions to control digital addiction and improve cognitive focus and detect behavioral patterns, algorithmic approaches, and implementation issues on the global level. The review used PRISMA 2020 parameters and examined the studies that were published in 2015-2025 in Scopus, Web of Science, and Google Scholar. The inclusion criteria were based on peer-reviewed English-language studies that included real-time digital interventions to address screen overuse, attention restoration, or compulsive technology use. The screened records were 29 354 and 94 studies were included in all the eligibility criteria. The number of research in this field has been increasing, and most of them have focused on smartphones (51) and then social media (26) and games (17). The theme of emphasis on nudging strategies (28.72%), digital detox (23.40%), and app limits (22.34), and 25.53% of the studies did not indicate intervention strategies. Most common outcomes dealt with were cognitively and psychologically i.e. anxiety (40.43%), reduction in attention span (24.47%), depression (22.34%), and sleep disruption (12.77%). China (36.17%), Turkey (8.51%), India (7.45%), Italy (6.38%) and the United States (5.32%) were the first in making contributions. Although there are positive results (improved focus measures up to 92.45% on average), there are still significant gaps in reporting the transparency of algorithms, protecting the privacy of users, and cross-cultural flexibility, which influence scalability. Technologies to enhance attention, diminish compulsive use and mental health through digital wellness technologies. The barriers to adoption are however hindered due to ethical, infrastructural and design constraints, especially in the underserved population. Technology-enabled focus management systems have potential that should be fully achieved by increasing standardization, being inclusive, and combining policies.

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Keywords

technology addiction; focus management; cognitive well-being; digital wellness technologies; smartphone overuse; attention span; behavioral patterns; nudging strategies; screen time reduc-tion.

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    popularity
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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green