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Problematic engagement with generative AI measurement drivers contexts and outcomes
- Truvace record
- TRV-2026-2507raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
- sha256
- 1b668d492edd…check it
Generative AI tools and conversational chatbots are increasingly embedded in education, work, and daily life, raising concerns about engagement that becomes difficult to self-regulate. This review synthesizes emerging research on problematic generative AI use, treating addiction-like language as part of a broader problematic-use construct rather than a clinical diagnosis. Following PRISMA 2020 reporting, a Scopus search executed identified 188 records. Included studies were characterised by research design and e…
The problem
A review of 188 records found that compulsive or dependent generative AI use is associated with technostress, psychological distress and lower wellbeing, though the studies are almost all cross-sectional and self-reported.
What this doesn’t fix
The studies reviewed are almost entirely cross-sectional and self-reported, so the relationships are associations rather than causal effects.
Sources
1 on file- Social Sciences & Humanities Opendoi:10.1016/j.ssaho.2026.103890
Cite this record
v1Truvace Impact Record TRV-2026-2507, v1: “Problematic engagement with generative AI measurement drivers contexts and outcomes.” Truvace, 2026-11-12. /record/TRV-2026-2507 (accessed on the day you copy it). sha256 1b668d492edd5c47…
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