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Can the mind perception of perceived artificial intelligence-generated content alleviate involution anxiety? A longitudinal study with social support as a mediator.

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Title: Can the mind perception of perceived artificial intelligence-generated content alleviate involution anxiety? A longitudinal study with social support as a mediator.
Authors: Xie, Zehang (AUTHOR)
Source: Psychology, Health & Medicine. Jul2026, Vol. 31 Issue 6, p1557-1574. 18p.
Subjects: Anxiety prevention, Generative artificial intelligence, Self-evaluation, Scale analysis (Psychology), Conceptual models, Questionnaires, Undergraduates, Universities & colleges, Anxiety, Social perception, Group dynamics, Descriptive statistics, Longitudinal method, Psychology, Social context, Social support, Factor analysis, Learning strategies, Student attitudes, Comparative studies, Data analysis software, Competition (Psychology), User interfaces, Psychosocial factors
Geographic Terms: China
Abstract: Involution anxiety, characterized by heightened stress and competition in educational and professional settings, is a significant psychological trait in contemporary society. However, under the backdrop of Artificial Intelligence-Generated Content (AIGC), this issue has not been extensively discussed. Building on mind perception theory and social support theory, this research collected 1126 valid surveys and conducted a longitudinal study over two waves within two interaction scenarios – virtual companionship and knowledge acquisition. This study investigates whether the mind perception of perceived AIGC can alleviate involution anxiety, with social support as a mediating variable. Results from cross-lagged panel analysis revealed that in the virtual companionship scenario, mind perception significantly reduced involution anxiety over time (β from −0.205 to −0.221, p < 0.001) and positively predicted perceived social support (β from 0.297 to 0.323, p < 0.001), which also negatively predicted involution anxiety (β from −0.346 to −0.390, p < 0.001). In contrast, in the knowledge acquisition scenario, mind perception unexpectedly increased involution anxiety (β from 0.190 to 0.218, p < 0.05), and its association with social support was non-significant. However, social support still showed a negative association with involution anxiety (β from −0.243 to −0.276, p < 0.001). These findings suggest that AIGC's impact on involution anxiety is complex and scenario-dependent, emphasizing the importance of context in the integration of AI technologies into human social dynamics. [ABSTRACT FROM AUTHOR]
Copyright of Psychology, Health & Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Can the mind perception of perceived artificial intelligence-generated content alleviate involution anxiety? A longitudinal study with social support as a mediator.
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  Data: Involution anxiety, characterized by heightened stress and competition in educational and professional settings, is a significant psychological trait in contemporary society. However, under the backdrop of Artificial Intelligence-Generated Content (AIGC), this issue has not been extensively discussed. Building on mind perception theory and social support theory, this research collected 1126 valid surveys and conducted a longitudinal study over two waves within two interaction scenarios – virtual companionship and knowledge acquisition. This study investigates whether the mind perception of perceived AIGC can alleviate involution anxiety, with social support as a mediating variable. Results from cross-lagged panel analysis revealed that in the virtual companionship scenario, mind perception significantly reduced involution anxiety over time (β from −0.205 to −0.221, p &lt; 0.001) and positively predicted perceived social support (β from 0.297 to 0.323, p &lt; 0.001), which also negatively predicted involution anxiety (β from −0.346 to −0.390, p &lt; 0.001). In contrast, in the knowledge acquisition scenario, mind perception unexpectedly increased involution anxiety (β from 0.190 to 0.218, p &lt; 0.05), and its association with social support was non-significant. However, social support still showed a negative association with involution anxiety (β from −0.243 to −0.276, p &lt; 0.001). These findings suggest that AIGC&#39;s impact on involution anxiety is complex and scenario-dependent, emphasizing the importance of context in the integration of AI technologies into human social dynamics. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Psychology, Health &amp; Medicine is the property of Taylor &amp; Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=194804704
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/13548506.2025.2543906
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1557
    Subjects:
      – SubjectFull: Anxiety prevention
        Type: general
      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: Self-evaluation
        Type: general
      – SubjectFull: Scale analysis (Psychology)
        Type: general
      – SubjectFull: Conceptual models
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Undergraduates
        Type: general
      – SubjectFull: Universities & colleges
        Type: general
      – SubjectFull: Anxiety
        Type: general
      – SubjectFull: Social perception
        Type: general
      – SubjectFull: Group dynamics
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Psychology
        Type: general
      – SubjectFull: Social context
        Type: general
      – SubjectFull: Social support
        Type: general
      – SubjectFull: Factor analysis
        Type: general
      – SubjectFull: Learning strategies
        Type: general
      – SubjectFull: Student attitudes
        Type: general
      – SubjectFull: Comparative studies
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Competition (Psychology)
        Type: general
      – SubjectFull: User interfaces
        Type: general
      – SubjectFull: Psychosocial factors
        Type: general
      – SubjectFull: China
        Type: general
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      – TitleFull: Can the mind perception of perceived artificial intelligence-generated content alleviate involution anxiety? A longitudinal study with social support as a mediator.
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              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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