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The Impact of AI Literacy and Virtual Social Interaction on Self-Efficacy in the Age of AI: Insights From Doubao AI Platform Users

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Listed:
  • Linfang Guo

    (Henan Police College, China)

  • Tengfei Liu

    (The Open University of China, China)

  • Wei Cui

    (Tianjin Normal University, China)

Abstract

This study aims to explore the factors influencing the public's perceived self-efficacy when using the Doubao AI platform and the mechanisms behind these influences. Data from 319 valid users in Beijing were collected using stratified random sampling and a questionnaire survey. Multiple regression analysis and mediation effect testing were employed to examine the impact of factors on perceived self-efficacy. The results indicate that virtual identity integration and virtual social support have a significant positive effect on perceived self-efficacy. Additionally, situational virtual awareness fully mediates the effect of virtual identity integration and virtual social support on self-efficacy. The study also finds that Doubao AI platform experience and AI literacy have a direct positive impact on the public's self-efficacy. This research provides a new theoretical perspective for the design and optimization of virtual platforms, emphasizing the importance of virtual identity recognition, social support, and technological literacy in enhancing users' self-efficacy.

Suggested Citation

  • Linfang Guo & Tengfei Liu & Wei Cui, 2026. "The Impact of AI Literacy and Virtual Social Interaction on Self-Efficacy in the Age of AI: Insights From Doubao AI Platform Users," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global Scientific Publishing, vol. 21(1), pages 1-23, January.
    • Handle: RePEc:igg:jhisi0:v:21:y:2026:i:1:p:1-23
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