ArticleFrontiers in psychology2025
Reframing individual roles in collaboration: digital identity construction and adaptive mechanisms for resistance-based professional skills in AI-human intelligence symbiosis.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- How generative AI shapes designers' cultural heritage revitalization intention: process and content cues in AI-assisted cultural heritage design.Frontiers in psychology · 2026Article
- Building a new ecosystem for digital-intelligent teaching of veterinary infectious diseases in southwest Chinese universities: theoretical framework and practical pathways.Frontiers in veterinary science · 2026Review
- Beyond facilitation and inhibition: a configurational mechanism study of cognitive transitions in human-AI collaboration.Frontiers in psychology · 2026Article
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Authors and funding
4 authors.
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Abstract
Amid the unprecedented wave of AI advancement, AI-resistant professional skills play a significant role in enhancing the effectiveness of human-AI collaboration. However, existing research tends to isolate professional skills from their broader context, overlooking the triadic construction of digital identity recognition through individual motivation, structural position, and knowledge articulation. This oversight weakens the sustainability and adaptability of skill expression, thereby hindering innovation performance in AI-HI (Artificial Intelligence-Human Intelligence) collaboration. Drawing on the entropy weight method, gradient descent algorithm, and a residual-matching decision matrix, this study conducted quantitative modeling of 418 participants in the financial co-production sector from 2022 to 2024. The findings reveal that network centrality (NC; β = 0.04
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